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33rd European Symposium on Computer Aided Process Engineering
ESCAPE-33
- 1st Edition, Volume 52 - July 18, 2023
- Editors: Antonios C. Kokossis, Michael C. Georgiadis, Efstratios Pistikopoulos
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 2 7 4 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 2 7 5 - 7
33rd European Symposium on Computer Aided Process Engineering: ESCAPE-33, Volume 52 contains the papers presented at the 33rd European Symposium of Computer-Aided Process Engine… Read more
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Request a sales quote33rd European Symposium on Computer Aided Process Engineering: ESCAPE-33, Volume 52 contains the papers presented at the 33rd European Symposium of Computer-Aided Process Engineering (ESCAPE) event held in Athens, Greece. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries.
- Presents findings and discussions from the 33rd European Symposium of Computer Aided Process Engineering (ESCAPE) event
Chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries
- Cover image
- Table of Contents
- Copyright
- Preface
- Local Organizing Committee
- Copyright
- Copyright
- Copyright
- T1: Modelling and optimization for multi-scale integration
- An exploratory model-based design of experiments technique to aid parameters identification and reduce prediction uncertainty
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- Conclusion
- References
- GHG emission reduction via multiple fuel options in carbon-constrained industrial clusters
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusion
- References
- An optimization-free Fisher information driven approach for online design of experiment
- Abstract
- 1: Introduction
- 2: Proposed framework and methodologies
- 3: Case study description
- 4: Results
- 5: Conclusion
- Acknowledgment
- References
- A Python-based approach for thermodynamic consistency tests of binary VLE data
- Abstract
- 1: Introduction
- 2: Theoretical background of the thermodynamic consistency tests
- 3: Implementation of the thermodynamic consistency tests
- 4: Conclusion and future perspectives
- References
- Modelling building’s life-cycle decarbonization in China: A multi-level and multi-region optimization approach
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- References
- Automated Kinetic Model Discovery – A Methodological Framework
- Abstract
- 1: Introduction
- 2: Methodological Framework
- 3: Kinetic Case Study
- 4: Results and Discussion
- 5: Conclusions and Outlook
- References
- Assessing process systems models for pharmaceutical development
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- Acknowledgements
- References
- Simulation and optimisation of a medium scale industrial reverse osmosis desalination system
- Abstract
- 1: Introduction
- 2: Description of BWRO desalination system
- 3: Modelling of BWRO desalination system
- 4: Simulation of BWRO desalination system
- 5: Optimisation of BWRO desalination system
- 6: Conclusions
- References
- Modeling strategies in multi-scale food-energy-water nexus system optimization
- Abstract
- 1: Introduction
- 2: System Under Investigation
- 3: Modeling
- 4: Results and Discussion
- 5: Conclusion
- 6: Acknowledgments
- References
- Multi-Fidelity Surrogate Modeling for Chemical Processes with Physics-Informed Neural Networks
- Abstract
- 1: Introduction
- 2: Numerical Simulation
- 3: Multi-Fidelity Surrogate Model base on PINN
- 4: Case Study
- 5: Conclusions
- Acknowledgment
- References
- A CFD-model-based approach to continuous freezing process design for human induced pluripotent stem cells
- Abstract
- 1: Introduction
- 2: Continuous freezing processes for hiPS cells
- 3: Process model
- 4: Results and discussion
- 5: Conclusions and outlook
- Acknowledgements
- References
- Multiscale Modeling of Spatial Area-Selective Thermal Atomic Layer Deposition
- Abstract
- 1: Introduction
- 2: Multiscale Simulation
- 3: Results
- 4: Conclusion
- References
- Modeling the shrinkage effect during the drying process of a green ceramic material
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Solution Strategy
- 4: Model Validation
- 5: Parameter Estimation
- 6: Results and Discussion
- 7: Conclussions
- Acknowledgments
- References
- Investigating physics-informed neural networks for bioprocess hybrid model construction
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Methodology
- 4: Results and Discussion
- 5: Conclusion
- References
- Decision Making Approaches to Improve Resilience in Food Supply Chains and Enhance Food Security Against Climate Change Risks
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- 5: Acknowledgments
- References
- Lot-sizing and Production Scheduling of a Beverage Industry
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Mathematical framework
- 4: Results & Discussion
- 5: Conclusions
- Acknowledgements
- References
- Modeling and Analysis of Clinical & Municipal Waste Incineration Process using Aspen Plus
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Result & Discussion
- 4: Conclusion
- Acknowledgements
- References
- On the minimization of cycle time in periodic production scheduling
- Abstract
- 1: Introduction
- 2: Periodic Scheduling Set-up
- 3: Algorithmic Approach
- 4: MILP Approach
- 5: Examples
- 6: Conclusions
- References
- Non-Pareto optimal solutions as enablers for versatile heat exchanger networks
- Abstract
- 1: Introduction
- 2: Methods
- 3: Use Case
- 4: Results
- 5: Conclusion
- 6: Acknowledgment
- Appendix
- References
- Enhanced Automatic Initialization Method for Solving Large Nonlinear Algebraic Systems
- Abstract
- 1: Motivation
- 2: Notation
- 3: Hybrid Approach
- 4: Computer Experiments
- 5: Conclusion
- References
- Electroplating scheduling: Closing a research gap from an automation vendor’s perspective
- Abstract
- 1: Electroplating scheduling
- 2: State of research and technology
- 3: Automation vendor’s perspective
- 4: Research gap
- 5: Approach
- 6: Outlook
- References
- Real time prediction of ozone pollution using data-enabled deep learning modeling
- Abstract
- 1: Introduction
- 2: Description of the model
- 3: Results and discussions
- 4: Conclusions
- References
- Numerical Study of a Single-Spout and Z-shaped Fluidized Bed Biomass Gasifier
- Abstract
- 1: Introduction
- 2: Mathematical modeling
- 3: Single-spout and Z-shaped fluidized bed system
- 4: Conclusion
- Acknowledgement
- References
- Intensification of ATJ Process Using Catalytic Distillation, Optimization Considering Control and Economic Issues
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Efficient physical model building algorithm using equations extracted from documents
- Abstract
- 1: Introduction
- 2: Methods
- 3: Experiments
- 4: Conclusion
- Acknowledgments
- References
- Developing a rigorous chemical reaction network reduction strategy for n-hexadecane hydroisomerisation
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- Troubleshooting high-pressure issues in an industrial biorefinery process by feature-oriented modeling
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results
- 4: Conclusions
- References
- Optimal Determination of the Binary Interaction Parameters for the Vapor-Liquid-Liquid Equilibrium on the Vinyl Acetate/Acetic Acid/Water System
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Assessment of subgrid-scale models for large-eddy simulation of a gas-liquid stirred reactor
- Abstract
- 1: Introduction
- 2: Physical model of the preneutralizer
- 3: Mathematical modeling and numerical schemes
- 4: Results and analysis
- 5: Conclusion
- References
- Mechanistic model for inkjet printing and applications in perovskite solar cells engineering
- Abstract
- 1: Introduction
- 2: Model Description
- 3: Results
- 4: Conclusions
- 5. Acknowledgements
- References
- Modeling and Optimization of Low-carbon Oriented Urban Energy Systems Spatial Planning Considering Energy Networks Topology
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- 4: Conclusions
- References
- Multi-objective optimisation for microbrewery retrofitting
- Abstract
- 1: Introduction
- 2: Case study description
- 3: Methodology
- 4: Optimisation results
- 5: Conclusion
- References
- Thermodynamic equilibrium modelling for the optimal performance of a wood biomass downdraft gasifier for hydrogen production
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion:
- References
- A model predictive control approach for recirculating aquaculture systems integrated with sustainable hybrid energy systems
- Abstract
- 1: Introduction
- 2: Model formulation
- 3: Case study
- 4: Conclusion
- References
- Multi-stage optimization for marketing industrial flexibility
- Abstract
- 1: Introduction
- 2: Leveraging Energy Markets
- 3: Modelling Approach
- 4: Use Case
- 5: Conclusion
- Acknowledgement
- References
- Intelligent Process Flowsheet Synthesis and Design using Extended SFILES Representation
- Abstract
- 1: Introduction
- 2: Current state of flowsheet representation: SFILES
- 3: Extended SFILES (eSFILES)
- 4: Conclusions
- References
- Physics-informed Neural Network based Modeling of an Industrial Wastewater Treatment Unit
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- Approaches to Reduce Optimization Time for Stochastic Optimization of Complex Chemical Processes
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Studies
- 4: Conclusion
- References
- Design of a CO2 capture plant: A sustainable approach using deep eutectic solvents
- Abstract
- 1: Introduction
- 2: Study Case
- 3: Results
- 4: Conclusions
- References
- Optimal Retrofitting of Conventional Oil Refinery into Sustainable Bio-refinery under Uncertainty
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Mathematical Formulation
- 4: Results and Discussion
- 5: Conclusion
- Appendix
- References
- A Combined D-optimal and Estimability Model-Based Design of Experiments of a Batch Cooling Crystallization Process
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results & Discussion
- 4: Conclusions
- References
- A novel mathematical formulation for short-term scheduling of multipurpose batch plants in chemical manufacturing
- Abstract
- 1: Introduction
- 2: Problem statement and material transfer
- 3: Mathematical model
- 4: Computational studies
- 5: Conclusion
- Acknowledgement
- References
- Heat integration and heat exchanger network design for oxyfuel cement plants
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusion
- Acknowledgements
- References
- Technological Portfolio Optimisation for de-risking within the energy, water and food nexus
- Abstract
- 1: Introduction
- 2: Dynamic decision-making framework for EWF Nexus
- 3: Result and Discussion
- 4: Conclusion
- Acknowledgments
- References
- Prediction of Melt Flow Rate (MFR) in polymer production, with auto-regressive Machine Learning algorithms, for multivariate time-series measured in irregular timestamps
- Abstract
- 1: Introduction
- 2: Specific Challenges
- 3: Computational Approach
- 4: Results
- 5: Conclusions
- Acknowledgements
- References
- Achieving Operational Excellence by Combining Material Tracking and On-line Polymer Analysis and Classification data in an all-in-one Integrated Decision Support System
- Abstract
- 1: Introduction
- 2: Method
- 3: Case Study Results and Discussion
- 4: Conclusions
- Acknowledgement
- References
- Markov Chain Monte Carlo simulation-based optimization for a production scale milk drying process
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- References
- Polymer Grade Transition Control via Reinforcement Learning Trained with a Physically Consistent Memory Sequence-to-Sequence Digital Twin
- Abstract
- 1: Introduction
- 2: Memory Layer Sequence-to-Sequence Model
- 3: Nonlinear Model Predictive Control
- 4: Reinforcement Learning Control
- 5: Results
- 6: Conclusion
- Acknowledgment
- References
- A Rolling Horizon Approach for Ethylene Production Scheduling with Daily Inventory Constraints
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methods
- 4: Case study
- 5: Conclusion
- References
- Simulation and optimization of fixed bed and moving bed TSA processes for post-combustion CO2 capture.
- Abstract
- 1: Introduction
- 2: Cycle design
- 3: Model equations
- 4: Results and discussion
- 5: Conclusions
- Acknowledgements:
- References
- AI-enhanced BoM Optimization with MILP for the EMS Industry
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Models and Architecture
- 4: Case Study
- 5: Conclusions
- References
- Reduced cleaning model for highly viscous non-Newtonian fluids in pipelines
- Abstract
- 1: Introduction
- 2: Problem description
- 3: Reduced Model
- 4: Results
- 5: Conclusion and Outlook
- References
- Optimal Retrofit of Simple Distillation Sequences to Thermally Coupled Side-Stream Configurations
- Abstract
- 1: Introduction
- 2: Methods
- 3: Case Study
- 4: Conclusion
- References
- Computer aided-design of energy efficiency tools on a microalgae biorefinery scheme
- Abstract
- 1: Introduction
- 2: Modelling and simulation of microalgae biorefinery
- 3: Assessment of the biorefinery scheme
- 4: Analysis of results
- 5: Conclusions
- Acknowledgments
- References
- Optimization of Simulated Moving Bed Chromatographic Processes using Surrogate Models
- Abstract
- 1: Introduction
- 2: Description of the Optimization Problem
- 3: Surrogate Model
- 4: Results and Conclusion
- References
- Multi-Objective Model-based Design of Experiments of Pharmaceutical Tableting Process
- Abstract
- 1: Introduction
- 2: Model and methods
- 3: Results and discussions
- 4: Conclusion
- Acknowledgements
- References
- Water bodies restoration as an optimal control problem with integrated internal and external strategies. The inclusion of artificial floating islands
- Abstract
- 1: Introduction
- 2: Case Study
- 3: Mathematical Model description
- 4: Optimization Problem
- 5: Numerical Results
- 6: Conclusions
- References
- Developing robust hybrid-models
- Abstract
- 1: Introduction
- 2: Serial semi-parametric hybrid-modelling
- 3: Case Study: Synthetic CSTR
- 4: Robustness
- 5: Conclusion
- Acknowledgements
- References
- A gPC-based Global Sensitivity Analysis for Phosphate Slurry Flow in Pipelines
- Abstract
- 1: Introduction
- 2: Polynomial Chaos Expansion for Sensitivity Analysis
- 3: CFD modeling procedure
- 4: UQ methodology
- 5: Results and discussion
- 6: Conclusion
- References
- Hybrid dynamic model of monoclonal antibody production using CHO cells
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Concluding Remarks
- Acknowledgements
- References
- Combined Bayesian optimization and global sensitivity analysis for the optimization of simulation-based pharmaceutical processes
- Abstract
- 1: Introduction
- 2: Materials & Methods
- 3: Results & Discussion
- 4: Conclusions
- Acknowledgements
- References
- Competitive adsorption of copper, nickel, and chromium ions onto EDTA modified SBA-15
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- Auto-extractive reactive distillation for the production of fatty esters
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Long-term Capacity Management of Pharmaceutical Manufacturing Networks
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusion and Perspectives
- References
- Modeling of a trickle bed reactor: Study of arabinose oxidation on gold catalyst extrudates
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- Acknowledgment
- References
- Numerical simulation of flow in porous media using the SPH method and Ergun force
- Abstract
- 1: Introduction
- 2: The SPH Numerical Model
- 3: Validation test
- 4: Comparative cases
- 5: Conclusions
- References
- Impact of structural change in electricity and hydrogen end use on low-carbon transition of an energy system: A case study of China
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- References
- Optimal planning for thermal power plants with CCS under source–sink matching constraints: A case study of China
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- References
- On discrete time chemical production scheduling MILP models containing record keeping variables
- Abstract
- 1: Introduction
- 2: Preliminaries
- 3: Batch Processes
- 4: Continuous Processes
- 5: Conclusion
- References
- ESTAN – A toolbox for global sensitivity based estimability analysis
- Abstract
- 1: Introduction
- 2: ESTAN structure
- 3: Case studies
- 4: Results and discussion
- 5: Conclusion
- References
- Multi-technology separation network synthesis
- Abstract
- 1: Introduction
- 2: Framework
- 3: Examples
- 4: Conclusion
- References
- A Reinforcement Learning Development for The Exact Guillotine with Flexibility on Cutting Stock Problem
- Abstract
- 1: Introduction
- 2: Method
- 3: Results and discussion
- 4: Conclusion
- References
- Real-time optimization of a chemical plant with continuous flow reactors via reinforcement learning
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- Acknowledgements
- References
- From problem specification to converged flowsheet simulations: Integrated workflow in an industrial context
- Abstract
- 1: Introduction
- 2: Method
- 3: Case Study
- 4: Conclusion and outlook
- References
- A Hybrid Modelling Framework for Dynamic Modelling of Bioprocesses
- Abstract
- 1: Introduction
- 2: Hybrid modelling framework
- 3: Case study –Microalgae Cultivation
- 4: Results and Discussion
- 5: Conclusion
- References
- Simultaneous selection and optimization of reaction pathways and downstream separation network
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- Conclusions
- References
- Workflow for adaptation, analysis and application of mechanistic models for experimental planning of protein refolding processes
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results & Discussion
- 4: Conclusion
- 5 Acknowledgements
- References
- Mechanistic modeling of product formation in recombinant Escherichia coli cultivations
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results & Discussion
- 4: Conclusion
- 5. Acknowledgments
- References
- Physics-informed neural networks for optimization of polymer reactor design
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- Conclusion
- Notation
- References
- Extending the SI Decomposition to Continuous-Time Two-Stage Scheduling Problems
- Abstract
- 1: Introduction
- 2: Similarity Index in Continuous-Time Formulations
- 3: SI-PH Decomposition
- 4: Case Study
- 5: Preliminary results
- 6: Summary
- Acknowledgments
- References
- Modelling of water vapor adsorption/desorption on hopcalite in an industrial medical air dryer
- Abstract
- 1: Introduction
- 2: Adsorption isotherms
- 3: Dynamic adsorption/desorption modeling
- 4: Results and discussion
- 5: Conclusions
- References
- Multi-fidelity Bayesian Optimisation of Reactor Simulations using Deep Gaussian Processes
- Abstract
- 1: Introduction
- 2: Method
- Experimental Results
- 4: Conclusions
- Acknowledgements
- References
- Design of a sustainable biodiesel production process by a multi-objective optimization
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Modeling of an Industrial Delayed Coker Unit
- Abstract
- 1: Introduction
- 2: Process Description
- 3: Delayed Coker Furnace Model
- 4: Coker Drum Model
- 5: Results
- 6: Conclusion
- References
- A sustainable energy supply system in smart cities: an integrated natural gas and electricity network operation
- Abstract
- 1: Introduction
- 2: Problem Formulation
- 3: Numerical results and discussion
- 4: Conclusion
- References
- A hybrid forecasting framework for the energy sector
- Abstract
- 1: Introduction
- 2: Hybrid Forecasting Framework for the Energy Sector
- 3: Data Preprocessing and Evaluation Metrics
- 4: Results
- 5: Conclusions
- 6: Acknowledgments
- References
- A Chance-Constrained Programming Approach to Optimal Planning of Low-carbon Transition of a Natural Gas Supply System: A Case Study of China
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- References
- Efficient 1D modelling of hot melt extrusion process for pharmaceutical applications
- Abstract
- 1: Introduction
- 2: 1-D model of the HME process
- 3: Case study and discussion
- 4: Summary and Conclusions
- Acknowledgement
- References
- Towards Machine Learning of Power-2-Methanol Processes
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Numerical Experiments
- 4: Results
- 5: Conclusion
- Acknowledgments
- References
- Water resource portfolio design for optimum water productivity in agriculture
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- 5 Acknowledgement
- References
- S-GNN: State-Dependent Graph Neural Networks for Functional Molecular Properties
- Abstract
- 1: Introduction
- 2: S-GNN
- 3: Case study: modeling of 13 temperature-dependent properties
- 4: Conclusions
- References
- Switching Multi-Objective Dynamic Optimization (MODO) for the Production of Value-Added Products
- Abstract
- 1: Introduction
- 2: Multi-Objective Dynamic Optimization as Control Strategy
- 3: Multi-objective Dynamic Optimization in Biomethanation Process
- 4: Conclusion
- References
- Dynamic modeling of a waste incinerator furnace in view of supervision
- Abstract
- 1: Introduction
- 2: Literature survey
- 3: Proposed model
- 4: Results and discussion
- 5: Conclusion and perspectives
- References
- Reinforcement learning combined with model predictive control to optimally operate a flash separation unit
- Abstract
- 1: Introduction
- 2: Background on surrogate modelling for dynamic systems
- 3: Q-Learning for parameterized MPC structures
- 4: MPC parameter optimization with RL on a flash simulation
- 5: Conclusion
- Acknowledgements
- References
- Architecture and Design of a Modern Commercial Process Simulator
- Abstract
- 1: Introduction
- 2: Properties of a Next-Generation Simulator
- 3: Experiences in Developing a Next-Generation Simulator
- 4: Conclusion
- References
- High and Robust Fault Detection via Polynomial Approximated Isomap Embeddings
- Abstract
- 1: Introduction
- 2: Dimensional Reduction Tools used in SPM
- 3: Principal Fault Detection Indices in SPM
- 4: The Proposed Method: dICApIso-PCA
- 5: Results and Discussion
- References
- A comparative study of distributed feedback-optimizing control strategies
- Abstract
- 1: Introduction
- 2: Feedback-optimizing control
- 3: Simulation descriptions
- 4: Results and Discussion
- 5: Conclusion
- References
- Superstructure configuration and optimization of the biofuel production perspectives in Austria
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Model Formulation
- 4: Results & Discussions
- 5: Conclusions
- 6. References
- Optimal operation of an industrial low pressure carburizing furnace
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Formulation of the optimization problem
- 4: Results and discussion
- 5: Conclusions
- References
- Development of a holistic Python package for optimal selection of experimental design criteria in kinetic model discrimination
- Abstract
- 1: Introduction
- 2: Model Identification using Model-Based Design of Experiments
- 3: Comparative Study
- 4: Conclusion
- References
- A Model-based Computational Approach to Optimal Design of Nose-to-Brain Drug Delivery Systems
- Abstract
- 1: Introduction
- 2: Model-based optimal design of drug-loaded polymeric carriers
- References
- Global estimability analysis and model-based design of experiments in surrogate modeling
- Abstract
- 1: Introduction
- 2: Models and methods
- 3: Results and discussion
- 4: Conclusion
- References
- Tractable Data-driven Solutions to Hierarchical Planning-scheduling-control
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Discussion
- 5: Conclusion
- References
- A graph classification approach to determine when to decompose optimization problems
- Abstract
- 1: Introduction
- 2: Graph representation of an optimization problem
- 3: Algorithm selection via graph classification
- 4: Deciding when to decompose convex MINLPs
- 5: Conclusions
- 6: Acknowledgment
- References
- An Enhanced Group-Interaction Contribution Method for the Prediction of Freezing Point and Enthalpy of Fusion for Pure Organic Compounds
- Abstract
- 1: Introduction
- 2: Models development
- 3: Results and discussion
- 4: Conclusion
- 5. References
- Single and Multi-Objective Superstructure Optimization of an Integrated Continuous Multistage Reaction-Crystallization-Filtration Process with Recycles
- Abstract
- 1: Introduction
- 2: Method
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- Prediction of product distribution using machine learning techniques
- Abstract
- 1: Introduction
- 2: Methane chlorination process simulation
- 3: Machine learning models
- 4: Conclusions
- References
- Architectural Design of Chemical and Biological Pathways through Parameter Sensitivity Oriented Mixed Integer Formulations
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Discussion
- References
- Data-driven fouling modeling in crude oil heat exchanger
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- Explainable formation energy prediction for uncovering the relationship between the electronic structure and stability of the heterogeneous catalyst
- Abstract
- 1: Introduction
- 2: Results
- 3: Conclusion and Future Works
- References
- Modular stochastic optimization for optimal rainwater harvesting system design
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusions
- Acknowledgements
- References
- Knowledge-based model and simulations to support decision making in wastewater treatment processes
- Abstract
- 1: Introduction
- 2: A 1-D schematic representation of the clarifier
- 3: A 1-D dynamic model of the clarifier
- 4: Numerical discretization scheme
- 5: Simulation of a transient state experiment of continuous settling
- 6: Conclusions
- Acknowledgements
- References
- Homotopic Method for binodal curves computation in ternary liquid-liquid separation
- Abstract
- 1: Introduction
- 2: Binodal and spinodal curves: thermodynamics vs. geometry
- 3: Case study: Flory-Huggins parameters of water-acetone-hexadecane
- 4: Conclusion
- References
- Modelling of iron oxide reduction with hydrogen
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results
- 4: Conclusions
- Acknowledgement
- References
- Parameter estimation approach applied to microalgae-bacteria photobioreactor
- Abstract
- 1: Introduction
- 2: Methodology for parameter estimation
- 3: Results
- 4: Conclusions
- 5. Acknowledgments
- References
- An Event-Based Continuous-Time MILP for Short-Term Crude Oil Scheduling
- Abstract
- 1: Introduction
- 2: Model Formulation and Problem Definition
- 3: Results and Discussions
- 4: Conclusion
- References
- Modeling aqueous multi-electrolyte systems for the simulation and optimization of concentrated brine processes
- Abstract
- 1: Introduction
- 2: Thermodynamic Modeling Framework
- 3: Methodology
- 4: Results
- 4: Conclusion
- Acknowledgments
- References
- Stable two-stage scenario generation via game-theoretic optimisation
- Abstract
- 1: Motivation
- 2: Preliminaries and literature review
- 3: Methodology and mathematical developments
- 4: Case Study
- 5: Conclusions and future directions
- Acknowledgements
- References
- Global One-dimensional Root-finding Algorithm for Derivable and Continuous Functions
- Abstract
- 1: Introduction
- 2: Method
- 3: Results & Discussion
- 4: Conclusions
- References
- A Demethanizer column Digital twin with non-conventional LSTM neural networks arrangement
- Abstract
- 1: Introduction
- 2: Process Description
- 3: Methods
- 4: Results
- 5: Conclusions
- References
- Soft modelling of spruce conversion into bio-oil through pyrolysis – Note I: steam explosion and LPMO-activated enzymatic saccharification
- Abstract
- 1: Introduction and context
- 2: Purpose and material
- 3: Implementation
- 4: Sensitivity analysis and results
- 5: Conclusions and comments
- Acknowledgements
- References
- Molecular Modelling and Optimization of Diesel Hydrotreating Processes
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- 4: Results and Discussion
- 5: Conclusion
- References
- Soft modelling of spruce conversion into bio-oil through pyrolysis – Note II: pyrolysis
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Model equations and implementation
- 4: Results
- 5: Conclusions
- Acknowledgements
- References
- Numerical Modeling of Gas-liquid Hydrodynamics in a U-loop Bioreactor
- Abstract
- 1: Introduction
- 2: Materials & Methods
- 3: Results and Discussion
- 4: Conclusion
- Reference
- Effect of vaporisation models on the FCC riser modelling
- Abstract
- 1: Introduction
- 2: Model Description
- 3: Results
- 4: Conclusions
- References
- A joint model-based design of experiments approach for the identification of Kriging models in geological exploration
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusions
- References
- Reinforcement Learning for inventory management in multi-echelon supply chains
- Abstract
- 1: Introduction
- 2: Reinforcement Learning and Derivative Free Optimization
- 3: Case Study
- 4: Conclusions
- References
- Monte Carlo Simulation of Photo Induced Atom-Transfer Radical Polymerization for Microscopic Properties
- Abstract
- 1: Introduction
- 2: PhotoATRP systems
- 3: Dynamic Monte Carlo simulation
- 4: Results and discussions
- 5: Conclusions
- Acknowledgments
- References
- Identification of a dynamic model of the N-vinylcaprolactam-co-glycidyl methacrylate microgel synthesis
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- A Machine Learning-assisted Hybrid Model to Predict Ribbon Solid Fraction, Granule Size Distribution and Throughput in a Dry Granulation Process
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- A Data-driven Modeling Approach for Water Flow Dynamics in Soil
- Abstract
- 1: Introduction
- 2: FVM Discretization
- 3: Data-Driven Global Random Walk Algorithm
- 4: An Illustrative Case Study
- 5: Conclusion
- References
- Numerical Simulation of No-Newtonian Fluids in Stirred-Tank with proximity impellers
- Abstract
- 1: Introduction
- 2: The SPH numerical model
- 3: Geometry and impellers design
- 4: Study Cases
- 5: Results
- 6: Conclusions
- References
- Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator
- Abstract
- 1: Introduction
- 2: Once-Through Steam Generators
- 3: Surrogate Modelling Techniques
- 4: Results
- 5: Discussion
- Acknowledgments
- References
- PINN-based Design of Experiment Concept for Process Model Parameter Identification
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- 4: Conclusions
- Acknowledgements
- References
- Performance analysis of virtual platforms focused on multi-objective process optimization
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- Acknowledgments
- References
- Mathematical Modeling of Anion Exchange Membrane Water Electrolyzer
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Results and discussion
- References
- An Aided Optimization Method for Molecular Reconstruction of Crude Oil Based on Pre-optimized Dataset
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- 4: Conclusions
- References
- A Global Optimization Algorithm for the Solution of Mixed-Integer Quadratic Adjustable Robust Optimization Problems under Endogenous Uncertainty
- Abstract
- 1: Introduction
- 2: ARO through multi-parametric programming
- 3: Numerical Examples
- 4: Computational Implementation
- 5: Conclusion
- References
- Cross-domain Fault Diagnosis for Chemical Processes through Dynamic Adversarial Adaptation Network
- Abstract
- 1: Introduction
- 2: Dynamic Adversarial Adaptation Network
- 3: Case Studies
- 4: Conclusions
- References
- Design and performance analysis of energy efficient hydrogen liquefaction process
- Abstract
- 1: Introduction
- 2: H2 liquefaction process
- 3: Results and discussion: Process analysis
- 4: Conclusions
- References
- Optimal design of a microbubble cap to enhance mass transfer efficiency using image processing
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- 4: Conclusion
- Acknowledgment
- References
- Design of a heterogeneous azeotropic distillation processes using stochastic optimization
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Single and multi-objective optimization of heat integrated distillation columns using PYMOO
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Design of multi-component gradient SMBs
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- A Method for Finding a Design Space as Linear Combinations of Parameter Ranges for Biopharmaceutical Development
- Abstract
- 1: Introduction
- 2: Method
- 3: Results
- 4: Conclusion
- 5. Acknowledgements
- References
- Optimal operation of large gas networks: MILP model and decomposition algorithm
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Optimization model
- 4: Decomposition algorithm
- 5: Results
- 6: Conclusions
- References
- An Integrated Framework for the Geometric Optimization of Bio-catalytic Microreactor
- Abstract
- 1: Introduction
- 2: Reaction
- 3: Reactor
- 4: Integrated framework
- 5: Analysis and discussion
- 6: Summary
- References
- A genetic algorithm-active learning approach in energy systems optimization
- Abstract
- 1: Introduction and state-of-the-art
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Data-driven Distributionally Robust Joint Chance-Constrained Optimization for Industrial Utility systems under Uncertainty
- Abstract
- 1: Background
- 2: Deterministic Multi-objective Model Based on Life Cycle Assessment
- 3: Data-Driven DRJCC Model for the Utility System
- 4: Case study
- 5: Conclusion
- Acknowledgment
- References
- Online real-time multi-parameter optimization solution based on parallel EGO algorithm
- Abstract
- 1: Introduction
- 2: Parallel EGO algorithm
- 3: Numerical experiments
- 4: Multi-parameter optimization of two-stage ammonia absorption refrigeration
- 5: Conclusions
- References
- Optimal design of Water Treatment Networks: effluent and piping disaggregated modelling
- Abstract
- 1: Introduction
- 2: WTN disaggregated model
- 3: Piping investment and operational expenditures
- 4: Application Examples
- Conclusion
- Acknowledgments
- References
- Evaluation of the potential of a deep eutectic solvent for liquid-liquid extraction of furfural using optimization-based process design
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Process Optimization
- 4: Conclusion & Outlook
- References
- Profit Allocation in Industrial Symbiosis Networks: Utility Exchanges
- Abstract
- Introduction
- Problem Statement
- Methodology
- Cooperative Game Theory and Profit Allocation:
- Case Study
- Results and Discussion
- Conclusions
- Acknowledgements
- References
- Operational optimisation of steam power system under uncertainty using time series prediction optimization model with Markov chain
- Abstract
- Introduction
- 1: Methodology
- 2: Case study
- 3: Conclusion
- References
- An approach for modelling simultaneous fluid-phase and chemical-reaction equilibria in multicomponent systems via Lagrangian duality: The Reactive HELD algorithm.
- Abstract
- 1: Introduction
- 2: A phase stability criterion for systems at chemical equilibrium
- 3: The reactive HELD (R-HELD) algorithm for reacting systems
- 4: Results
- 5: Conclusions and outlook
- Acknowledgments
- References
- Optimization of the Biomass Supply Chain for Power Generation with the Steam Rankine Cycle
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study and Results
- 4: Conclusions and Recommendations
- Acknowledgments
- References
- Hybrid modelling and data-driven parameterization of monoclonal antibody cultivation processes: Shifts in cell metabolic behavior
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Optimal Design of Anion-pillared Metal-organic Frameworks for Gas Separation
- Abstract
- 1: Introduction
- 2: Workflow of Anion-pillared MOF Design
- 3: Build Blocks Construction
- 4: Design of anion-pillared MOFs for PA/PE separation
- 5: Conclusions
- References
- Probabilistic neural networks for mechanical properties and tensile behavior prediction of polymer composites considering uncertainty in tensile testing
- Abstract
- 1: Introduction
- 2: PMC Tensile Test Data
- 3: Feature Engineering
- 4: Design of Prediction Model
- 5: Results
- 6: Discussion
- 7: Conclusions
- References
- Data-Driven Indication of Flooding in an Industrial Debutanizer Column
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Methodology
- 4: Results
- 5: Conclusions
- References
- Can we deploy carbon capture, utilization and storage at a scale?
- Abstract
- 1: Introduction
- 2: Multiscale modelling methodology
- 3: Preliminary Results
- 4: Conclusion
- 5: Acknowledgements
- References
- Prediction of capacitance using artificial neural networks for carbon nanofiber-based supercapacitors
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Results and Discussion
- 4: Conclusion
- References
- Model size determination using data analysis tools in the context of reaction network identification
- Abstract
- 1: Introduction
- 2: Methods considered
- 3: Case study
- 4: Conclusions
- References
- Modeling of particle formation in pan granulators with sieve-mill recycle
- Abstract
- 1: Introduction
- 2: Process Model
- 3: Results
- 4: Summary and Outlook
- References
- Synthesis and optimization of NGL separation as a complex energy-integrated distillation sequence
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology and optimization approach
- 4: Results and discussion
- 5: Conclusions
- References
- Multi-scale model of solid oxide fuel cell: enabling microscopic solvers to predict physical features over a macroscopic domain
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Parameter estimation combined with model reduction techniques for identifiability analysis of biological models
- Abstract
- 1: Introduction
- 2: Parameter estimation methods
- 3: Case studies
- 4: Discussion and conclusions
- References
- Improving Model Robustness with Transfer Learning for Product Property Models
- Abstract
- 1: Background
- 2: Methodology
- 3: Datasets
- 4: Results & Discussion
- 5: Conclusion
- References
- Modeling and simulation approach for modularized hydrogen electrolyzer plants
- Abstract
- 1: Introduction
- 2: Theory
- 3: Case study
- 4: Conclusion
- Acknowledgements
- References
- Design and optimization of a shared heat exchanger network for an integrated rSOC system
- Abstract
- 1: Introduction
- 2: System and methodology description
- 3: An integrated heat exchanger system design
- 4: Conclusion
- References
- Multi-objective optimisation of the algae Arthrospira platensis under uncertainty: a Pareto ellipsoids approach
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- Acknowledgement
- References
- Predicting the Evolution of Flammable Gases During Li-ion Battery Thermal Runaway Using Micro-Kinetic Modelling
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- 5: Conflicts of Interest & Acknowledgements
- References
- Modeling of carbon offset networks for process systems to achieve net zero emissions
- Abstract
- 1: Introduction
- 2: Proposed Method
- 3: Case Study
- 4: Conclusions
- Acknowledgements
- References
- Identifying first-principles models for bubble column aeration using machine learning
- Abstract
- 1: Introduction
- 2: Problem Description
- 3: Methods
- 4: Results
- 5: Conclusion
- Acknowledgements
- References
- Optimization framework based on a sensitivity analysis for the identification of the critical design variables
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- 5: Acknowledgments
- 6. References
- Effect of coalescence models on the prediction of the separation of dispersed oil-water pipe flows
- Abstract
- 1: Introduction
- 2: Model description
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Learning interpretable multi-output models: Kaizen Programming based symbolic regression for estimating outlet concentrations of a splitter
- Abstract
- 1: Introduction
- 2: Algorithms
- 3: Case studies
- 4: Numerical results and discussion
- 5: Conclusions
- Acknowledgements
- References
- Decision regression for modelling of supply chain resilience in interdependent networks: LNG case
- Abstract
- 1: Introduction
- 2: Boil-off gas in the LNG supply chain
- 3: LNG supply chain resilience stages
- 4: Methodology and results
- 5: Conclusion
- References
- Multi objective decision-making methodologies applied to GREENSCOPE sustainability indicators
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- 4: Results
- 5: Conclusion and future work
- Acknowledgements
- References
- Process as a battery: Robust dynamic optimal operation of zeolite crystallization in a COBR with respect to the carbon footprint of electric power
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Method
- 4: Results
- 5: Conclusion
- References
- Machine Learning models to optimize dairy cow culling: the case of the experimental farm UniLaSalle Beauvais
- Abstract
- 1: Introduction
- 2: The environment and the database
- 3: Methodology and models
- 4: Results
- 5: Discussion and outlook
- References
- Analyzing the Large-Scale Supply of Low-Carbon Hydrogen in Germany
- Abstract
- 1: Introduction
- 2: Methodology & Case Study
- 3: Results
- 4: Conclusion
- References
- Equilibrium sensitivity analysis of Carbon dioxide hydrogenation to methanol reaction system and comparison with conversions achievable in a simplified packed bed reactor model.
- Abstract
- 1: Introduction
- 2: Model Formulation
- 3: Computational and simulation aspects
- 4: Results
- 5: Comparison and brief results discussion
- 6: Conclusions & further recommendations
- 7: Notation table
- References
- Improving Transferable Force-Fields for Describing Crystal Structures Containing Hydrogen-Bonds
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- Acknowledgements
- References
- A data-driven uncertainty modelling and reduction approach for energy optimisation problems
- Abstract
- 1: Introduction
- 2: Method for deriving polyhedral uncertainty sets
- 3: Case study: uncertainty related to energy data in the UK
- 4: Results and discussion
- 5: Concluding remarks
- Acknowledgements
- References
- Moisture and Throughput Control in an Integrated Pharmaceutical Purification Platform using PharmaPy
- Abstract
- 1: Introduction
- 2: Digital Twin Development on the Continuous Filtration Carousel (CFC)
- 3: Result and Discussion
- 4: Conclusions
- 5: Acknowledgments
- References
- Parameter estimation and dynamic optimization of an industrial fed-batch reactor
- Abstract
- 1: Introduction
- 2: Fed-Batch Reactor Model Development
- 3: Parameter estimation
- 4: Dynamic optimization of the reactor feeding profiles
- 5: Conclusions
- Acknowledgments
- References
- Optimization of large-scale Direct Air Capture (DAC) Model using SCR algorithm
- Abstract
- 1: Introduction
- 2: Modelling
- 3: Optimization Methodology
- 4: Results and Discussions
- 5: Conclusion and perspectives
- Acknowledgement
- References
- Simulation of biodiesel production from algae
- Abstract
- 1: Introduction
- 2: Process Simulation
- 3: Algae-dewatering process:
- 4: Algae Oil Extraction Process:
- 5: Biodiesel Production Process:
- 6: Conclusion:
- References:
- Different methods of model-based process optimization presented on real world examples from water industry
- Abstract
- 1: Introduction
- 2: Real-time optimization based on first principles model
- 3: Demand driven Optimization
- 4: DCS embedded Model Predictive Control (MPC)
- 5: Conclusion
- References
- A Reduced Order Model for the Prediction of the Dynamics of a Methane Reactor
- Abstract
- 1: Introduction
- 2: Mathematical model and computational methods
- 3: Results and discussion
- Conclusions
- References
- A Novel Approach for Cost-effective and Sustainable Capacity Expansion Utilizing Process Intensification in Chemical Process Industries
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- Conclusion
- References
- Determining the performance and network properties of petrochemical clusters
- Abstract
- 1: Introduction
- 2: Petrochemical Cluster Model Framework
- 3: Results and Discussion
- 4: Conclusions
- Acknowledgements
- References
- Quality assessment of partial models for co-simulation of modular electrolysis plants
- Abstract
- 1: Introduction
- 2: Methodology for model quality assurance
- 3: Case study modular electrolysis plant
- 4: Conclusion and outlook
- Acknowledgements
- References
- Mechanistic modeling of industrial fermentation processes for antibiotic production
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results
- 4: Conclusions
- References
- A new framework and online solution engines for multiparametric Model Predictive Control
- Abstract
- 1: Introduction
- 2: Offline calculation of optimal control laws
- 3: Online calculation of optimal control actions
- 4: Discussion and future work
- References
- Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- 5. Acknowledgements
- References
- Global optimization of symbolic surrogate process models based on Bayesian learning
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Studies
- 4: Results and Discussion
- 5: Conclusions
- References
- Molecular Property Targeting for Optimal Solvent Design in Extractive Distillation Processes
- Abstract
- 1: Introduction
- 2: Data-Driven Process Modeling
- 3: Molecular Property Targeting
- 4: Molecular Mapping
- 5: Conclusion
- Acknowledgement
- References
- A Bayesian-based screening framework for optimal development of safe-by-design nanomaterials
- Abstract
- 1: Introduction
- 2: Representation methodology
- 3: Data preprocessing
- 4: Bayesian-based screening
- 5: Discussion and conclusions
- Funding
- References
- Artificial neural network modelling for the prediction of the deactivation of CaO-based adsorbents in the calcium looping process for CO2 capture
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Dynamic operation for the effective use of green hydrogen in Power-to-X value chains
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Methodology
- 4: Conclusion
- Acknowledgements:
- References
- Evaluation of two-stage stochastic programming applied to the optimization of crude oil operations scheduling
- Abstract
- 1: Introduction
- 2: Problem definition
- 3: Model formulation
- 4: Assessment of the stochastic solution
- 5: Risk management
- 6: Solution strategy
- 7: Results
- 8: Conclusions
- Acknowledgements
- References
- Generalized First-Principles Suite for Dynamic Modeling of Circular Solid Waste Thermal Treatments: a Sewage Sludge Oxy-Gasification Case Study
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Discussion
- 4: Conclusions
- Acknowledgments
- References
- A Discrete-Event Simulation Approach to the Design and Planning of Biomass Supply Chains considering Technological Learning
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study and Results
- 4: Conclusions
- Acknowledgments
- References
- Data-driven modeling to predict the rate of Boil-off Gas (BOG) generation in an industrial LNG storage tank
- Abstract
- 1: Introduction
- 2: Process description
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Synthesis of process configurations and solvent blend for CO2 capture from CCGT power plants
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion and Future Work
- References
- Prediction of Biomedical Waste Generation in Sanitary Emergencies for Urban Regions Using Multivariate Recurrent Neural Networks
- Abstract
- 1: Introduction
- 2: Related Work
- 3: Data Collection
- 4: Methods
- 5: Results
- 6: Conclusions
- Acknowledgments
- References
- Hybrid Modeling and Multi-Fidelity Approaches for Data-Driven Branch-and-Bound Optimization
- Abstract
- 1: Introduction
- 2: Overview and explored methods
- 3: Results and discussion
- 4: Conclusions
- 5: Acknowledgements
- References
- Intensified Process for the Production of Biojet Fuel from Mexican Biomass
- Abstract
- 1: Introduction
- 2: Description of the intensified process
- 3: Case study
- 4: Methodology and Process Modeling
- 5: Process Optimization
- 6: Results
- Conclusions
- References
- Metrics for Evaluating Machine Learning Models Prediction Accuracy and Uncertainty
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Results and Discussion
- 5: Conclusions
- References
- Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates
- Abstract
- 1: Introduction
- 2: Optimization Formulation
- 3: Numerical Case Study
- 4: Conclusions and Future Work
- Acknowledgments
- References
- Global Optimal Explainable Models for Biorefining
- Abstract
- 1: Introduction
- 2: Problem Description
- 3: Global Optimal Decision Tree (GODT)
- 4: Results and Discussions
- 5: Conclusion
- References
- Numerical simulation of the L-V equilibrium within a stage in a distillation column using CFD
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Discussion of results
- 4: Conclusions
- References
- Monitoring of the Drilling Region in Oil Wells Using a Convolutional Neural Network
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- 4: Conclusion
- Acknowledgments
- References
- An inverse optimization approach to decision-focused learning
- Abstract
- 1: Introduction
- 2: Mathematical formulation
- 3: Solution approach
- 4: Case study
- 5: Conclusions
- Acknowledgements
- References
- Multi-scale modeling and techno-economic analysis of biogas catalytic reforming for hydrogen & power production with CO2 capture feature
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Techno-economic evaluation
- 4: Conclusions
- Acknowledgments
- References
- Modeling hierarchical systems via nested generalized disjunctive programming
- Abstract
- 1: Introduction
- 2: GDP Modeling Overview
- 3: Extended formulation for hierarchies
- 4: Conclusions
- Acknowledgement
- References
- Fusion and integrated correction of chemometrics and machine learning models based on data reconciliation
- Abstract
- 1: Introduction
- 2: Data reconciliation-based integration of machine learning models
- 3: Data reconciliation-based integration of machine learning models
- 4: Conclusion
- References
- Model-based Optimisation of Regional Nutrient Flow and Recovery for Resource and Environmental Sustainability
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Mathematical Programming Formulation
- 4: Nutrient Flow Data and Operational Constraints
- 5: Case Study
- 6: Conclusions
- Acknowledgement
- References
- Improving results of a Continuous Fluidized Bed Process for the Separation of Enantiomers by applying mathematical optimization
- Abstract
- 1: Introduction
- 2: Process description
- 3: Modeling crystallization process in fluidized beds
- 4: Model-based optimization
- 5: Conclusions
- Acknowledgments
- References
- Machine-learning-based optimization of operating conditions of naphtha cracking furnace to maximize plant profit
- Abstract
- 1: Introduction
- 2: Method
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Methanol synthesis and hematite reduction using waste tires
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- References
- Unlocking the potentials of integrating direct air capture with HVAC system
- Abstract
- 1: Introduction
- 2: Results and discussion
- 3: Conclusion
- References
- Model development of amine scrubbing and CO2 liquefaction process using waste LNG cold energy
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- 4: Conclusion
- Acknowledgement
- References
- A parametric analysis of the co-gasification of biomass and plastic waste using Aspen Plus
- Abstract
- 1: Introduction
- 2: Modelling framework
- 3: Results and Discussion
- 4: Conclusion
- References
- Food security in an oligopolistic EWF nexus system: a cooperative vs a non-cooperative case
- Abstract
- 1: Introduction
- 2: Data and Methods
- 3: Results and discussion
- 4: Conclusion
- 5: Acknowledgment
- 6. References
- Multiple-output Gaussian Process based Global Sensitivity Analysis for the cost-performance of electric vehicle in the United Kingdom
- Abstract
- 1: Introduction
- 2: Gaussian process based global sensitivity analysis
- 3: Computational results
- 4: Conclusions
- References
- Extended Multiple-Curve Resolution framework for the calibration of first-principles models
- Abstract
- 1: Introduction
- 2: Mathematical framework
- 3: Results
- 4: Conclusions
- 5: Acknowledgements
- References
- Energy analysis of CO2 capture by flash and distillation
- Abstract
- 1: Introduction
- 2: Methods
- 3: Process Description and Analysis
- 4: Conclusions
- References
- Feature Embedding of Molecular Dynamics-Based Descriptors for Modeling Electrochemical Separation Processes
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Discussions
- 4: Conclusions
- Acknowledgments
- References
- An NLP-based framework for extracting the catalysts involved in Hydrogen production from scientific literature
- Abstract
- 1: Introduction
- 2: Data collection and annotation
- 3: The proposed model: H2-BERT
- 4: Results and Discussion
- 5: Conclusion
- 6: Acknowledgement
- 7. References
- Simulation of low-temperature district heat networks from mine water energy
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results & Discussion
- 4: Conclusion
- 5. References
- In-silico investigation of microalgae culture performance in lab and pilot scale: The trade-off between reactor size and productivity.
- Abstract
- 1: Introduction
- 2: Model development
- 3: Model validation and biomass optimization
- 4: Results and discussion
- 5: Conclusions
- References
- Process modelling of the hydrothermal liquefaction of oil-palm waste for biocrude and hydrochar production
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion:
- Acknowledgment
- References
- Heuristic approaches to solving multistage stochastic programs with type II endogenous uncertainty
- Abstract
- 1: Introduction
- 2: A general MSSP formulation under endogenous uncertainties
- 3: Solution approaches
- 4: Case study descriptions, results, and discussion
- 5: Conclusion and Future Directions
- References
- Hybrid modeling of the catalytic CO2 methanation using process data and process knowledge
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgment
- References
- Dynamic Optimization of Active Pharmaceutical Ingredient (Semi-)Batch Crystallization using Population Balance Modelling
- Abstract
- 1: Introduction
- 2: Problem formulation and computational methods
- 3: Dynamic optimization of cooling-antisolvent seeded (semi-)batch crystallization
- 4: Conclusions
- 5. Acknowledgements
- References
- A Systematic Framework for Iterative Model-Based Experimental Design of Batch and Continuous Crystallization Systems
- Abstract
- 1: Introduction
- 2: Framework Development Methodology
- 3: Application of the Proposed Framework: Results
- 4: Conclusions
- Acknowledgements
- References
- Evaluation of Factors Affecting Novel Technology Development using Mathematical Programming
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Mathematical Model Formulation
- 4: Results and Discussion
- 5: Conclusion and Future Direction
- Acknowledgment
- References
- T2: Control, scheduling, and operability at the process and enterprise-level
- An Encrypted MPC Framework for Security to Cyber-Attacks
- Abstract
- 1: Introduction
- 2: Preliminaries
- 3: Encrypted MPC Design
- 4: Encrypted Lyapunov-based Model Predictive Control
- 5: Chemical Process Example
- References
- Machine learning-based product concentration estimation, real-time optimization, and multivariable control of an experimental electrochemical reactor
- Abstract
- 1: Introduction and Reactor Description
- 2: Weighted-FNN Steady-State Modeling and Real-Time Optimization for Feasible Setpoints
- 3: Recurrent Neural Network Dynamic Modeling of C2H4 and CO Concentrations
- 4: Controller Tuning and Multivariable Control Architecture
- 5: Conclusion
- References
- Symbolic regression based interpretable data-driven soft-sensor for process quality control
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology
- 4: Results and Discussion
- 5: Conclusion
- References
- Oligomerization Using Reactive Distillation, Design and Model Predictive Control
- Abstract
- 1: Introduction
- 2: Design of reactive distillation equipment
- 3: Control of the reactive distillation column
- 4: Results
- 5: Conclusions
- References
- Fault Diagnosis with GAT and PageRank: From Local Attention to Global Attention
- Abstract
- 1: Introduction
- 2: Graph Attention Network and PageRank
- 3: Fault Diagnosis with GAT
- 4: Extend from Local to Global Attention with PageRank
- 5: Conclusion
- References
- Model predictive control of compact combined cycles in offshore power plants integrating a wind farm
- Abstract
- 1: Introduction
- 2: System description and model
- 3: Control structure
- 4: Results and discussion
- 5: Conclusion
- Acknowledgements
- References
- Application of Bayesian Optimization in HME Batch Concentration Process
- Abstract
- 1: Introduction
- 2: Process Modeling
- 3: Bayesian optimization
- 4: Simulation results and discussion
- 5: Conclusion
- Acknowledgments
- References
- Symbolic regression-based method for developing a physics-informed surrogate model for a manufacturing process
- Abstract
- 1: Introduction
- 2: Surrogate modeling approaches
- 3: Application of surrogate modeling in manufacturing
- 4: Conclusion
- Acknowledgement
- References
- Demand Response in Microgrids with Attention-Based Deep Reinforcement Learning
- Abstract
- 1: Introduction
- 2: Attention-based MA-DRL for demand response
- 3: Case study: Computational results
- 4: Conclusion
- References
- Multi-Kernel Canonical Variate Analysis with Bayesian Optimized Kernel Designs for Nonlinear System Identification
- Abstract
- 1: Introduction
- 2: Feature-Relevant Mixed Kernel Canonical Variate Analysis
- 3: Investigating Multi-Kernel Canonical Variate Analysis
- 4: Case Study
- 5: Conclusion
- References
- Modular Development of Condition Monitoring Systems for the Tennessee Eastman Process
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Discussion
- 4: Conclusions
- 5: Acknowledgements
- References
- Data-driven predictive model forirrigation management in greenhouses under CO2 enrichment and high solarradiation
- Abstract
- 1: Introduction
- 2: Greenhouse data
- 3: Methodology
- 4: Results and Discussion
- Conclusion
- References
- Greenhouse temperature regulation in the presence of uncertainties using data-driven robust model predictive control
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussions
- 4: Conclusion
- Acknowledgment
- References
- A model predictive control framework for the production of functional, safe and sustainable nanomaterials
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Discussion
- Acknowledgements
- References
- Multi-period optimisation of oligopolies with contracts: A cooperative approach to customer fairness
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Case studies
- 4: Conclusions
- 5: Acknowledgments
- References
- Artificial Neural Network-Based Real-Time PID Controller Tuning
- Abstract
- 1: Introduction
- 2: Physical System and Mathematical Model
- 3: Methodology
- 4: Results
- 5: Discussion
- 6: Conclusion
- References
- State of the Art Flexibility Analysis for Natural Gas Monetization Production Processes Under Uncertainties
- Abstract
- 1: Introduction
- 2: Methodology and Data
- 3: Results and Discussion
- 4: Conclusion
- References
- Online Monitoring and Robust, Reliable Fault Detection of Chemical Process Systems
- Abstract
- 1: Introduction
- 2: Recent Advancements in Multivariate SPC
- 3: Formulation and Methodology
- 4: Case Study: Tennessee Eastman Process
- 5: Conclusion
- References
- Perspectives on New Trends of Statistical Process Monitoring for Industrial Process Safety
- Abstract
- 1: Introduction
- 2: Related Methods
- 3: Case Studies
- 4: Challenges and Suggestions for Feature-Based Statistical Process Monitoring
- 5: Conclusion
- Acknowledgments
- References
- Aeration Optimization and Control for Wastewater Treatment Processes
- Abstract
- 1: Introduction
- 2: Plant description an simulation platform
- 3: Control Strategies
- 4: Results
- 5: Conclusions
- Acknowledgments
- References
- Safe deployment of reinforcement learning using deterministic optimization over neural networks
- Abstract
- 1: Introduction
- 2: Safe Reinforcement Learning (RL) Background
- 3: First Algorithm: OMLT-DDPG
- 4: Second Algorithm: SAFE
- 5: Results and Discussion
- 6: Conclusions
- 7: Acknowledgments
- References
- Distributional Constrained Reinforcement Learning for Supply Chain Optimization
- Abstract
- 1: Introduction
- 2: Reinforcement Learning (RL) Background
- 3: Approach: Distributional Constrained Policy Optimization
- 4: Results and Discussion
- 5: Conclusions
- 6: Acknowledgments
- References
- Machine learning-based decomposition for complex supply chains
- Abstract
- 1: Introduction
- 2: Materials & Methods
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Optimal energy management in greenhouses using distributed hybrid DRL-MPC framework
- Abstract
- 1: Introduction
- 2: Greenhouse optimal control problem
- 3: Optimal control using distributed hybrid algorithm
- 4: Simulation results
- 5: Concluding remarks
- References
- Multi-Agent Reinforcement Learning and RL-Based Adaptive PID Control of Crystallization Processes
- Abstract
- 1: Introduction and background
- 2: Problem Formulation
- 3: Result and Discussion
- 4: Conclusions
- Acknowledgements
- References
- Globally Convergent Composite-Step Trust-Region Framework for Model-Based Real-Time Optimization
- Abstract
- 1: Introduction
- 2: Preliminaries
- 3: Composite-Step Trust-Region Framework
- 4: Case Studies
- 5: Conclusions
- Acknowledgements
- References
- Fault Detection and Diagnosis for Chemical Processes based on Deep Neural Networks with Continuous Wavelet Transform
- Abstract
- 1: Introduction
- 2: Method
- 3: Case study
- 4: Result
- 5: Discussion
- 6: Conclusion
- References
- Anomaly detection in chemical processes with semantic knowledge graphs: an approach to reduce cause-effect diagrams
- Abstract
- 1: Introduction
- 2: Method
- 3: Results and discussion
- 4: Conclusion
- Acknowledgments
- References
- Performance analysis of three-phase fluidized bed absorber for CO2 capture industrial application
- Abstract
- 1: Introduction
- 2: Scaled-up three-phase absorption column
- 3: Mathematical model
- 4: Results and discussion
- 5: Conclusions
- Acknowledgements
- References
- Decentralized control for optimal operation under changing active constraints
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Discussion
- 5: Conclusion
- References
- Development of a Deep Learning-based Schedule-Aware Controller: Toward the Integration of Scheduling and Control
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology steps and techniques
- 4: Application: Multi-product CSTR
- 5: Conclusions
- References
- Robust (explicit) optimization and control via Mixed Integer Programming
- Abstract
- 1: Introduction
- 2: Problem formulation
- 3: Methodology
- 4: Uncertain constrained LQR example
- 5: Concluding remarks
- References
- A process data prediction method for chemical process based on the frozen pretrained transformer model
- Abstract
- 1: Introduction
- 2: Methodology
- 3: The proposed method
- 4: Applications and discussions
- 5: Summary
- References
- Sensor bias detection, isolation, and estimation in a subsea pump system.
- Abstract
- 1: Introduction
- 2: Case study: Subsea pump system
- 3: Combining fault detection and observability analysis to state and bias estimation.
- 4: Results
- 5: Conclusion
- Acknowledgement
- References
- Fusion of pupil and gaze-based features to estimate cognitive workload of control room operators
- Abstract
- 1: Introduction
- 2: Literature
- 3: Experimental Methodology
- 4: Results
- 5: Conclusion
- References
- Quantification of Process Operability Using Flexibility Analysis
- Abstract
- 1: Introduction
- 2: Flexibility space description through the DFO solution strategy
- 3: Quantificational description of operational space
- 4: Case study
- 5: Conclusions
- Acknowledgements
- References
- Coupling of support vector machine and acoustic models to characterize the droplet size distribution of emulsions using ultrasonic techniques
- Abstract
- 1: Introduction
- 2: Theoretical foundations
- 3: Experimental procedure and apparatus
- 4: Implemented routine and SVM coupling algorithm with acoustic models
- 5: Results
- 6: Conclusion
- Acknowledgment
- References
- An Approach to Dependable Hybrid Modeling with Application to an Industrial Distillation Column
- Abstract
- 1: Introduction
- 2: Hybrid model with a weighted contribution of the data-based model
- 3: Case study: Mother liquor distillation column
- 4: Results
- 5: Conclusion
- Acknowledgment
- References
- Integrating mineral mining and metallurgical supply chains: a qualogistics approach
- Abstract
- 1: Introduction
- 2: Ore blend scheduling at mining processing sites
- 3: Integrating mineral mining and metallurgical supply chains
- 4: Tactical metallurgical and operational mining problems
- 5: Conclusion
- References
- A simple two-parameter steady-state detection algorithm: Concept and experimental validation
- Abstract
- 1: Introduction
- 2: Background literature
- 3: Proposed method
- 4: Results
- 5: Conclusions
- Acknowledgments
- References
- Residence Time Distribution characterization in a Continuous Manufacturing tableting line using PCA and PLS-DA modeling
- Abstract
- 1: Introduction
- 2: Theory and Methods
- 3: Results and discussion
- 4: Conclusion
- Acknowledgement
- References
- Optimal power distribution in a P2A plant
- Abstract
- 1: Introduction
- 2: System description and specifications
- 3: Energy requirements for synthesis loop
- 4: Results
- 5: Discussion
- 6: Conclusion
- References
- Blend-scheduling optimisation for continuous and batch mixtures: modelling and solving algorithms
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Mathematical modelling
- 4: Results
- 5: Conclusion
- References
- A machine learning dynamic modelling scheme for wastewater treatment plants using cooperative particle swarm optimization and neural networks
- Abstract
- 1: Introduction
- 2: System identification using cooperative particle swarm optimization
- 3: Dynamic modelling using radial basis function neural network models
- 4: Results and Discussion
- 5: Conclusions
- Acknowledgements
- References
- Can electrical utilities play a decisive role in generating knowledge for better use of energy in small and medium-sized industries?
- Abstract
- 1: Introduction
- 2: Typical daily load profiles (clustering)
- 3: Peak power demand management tool
- Results and discussion
- 4: Conclusion
- References
- Hybrid data-driven and first principles monitoring applied to the Tennessee Eastman process
- Abstract
- 1: Introduction
- 2: Fault detection
- 3: Case study – The Tennessee Eastman process
- 4: Results
- 5: Conclusions
- References
- Data-Driven Process Monitoring for Knowledge Discovery: Local and Global Structures
- Abstract
- 1: Introduction
- 2: Understanding the Data: Global and Local Structures
- 3: Dimensionality Reduction: Global and Local Structure Preservation
- 4: FastMan-JMP Use-Case of an Industrial Pyrolysis Reactor
- Conclusions
- References
- Fault detection in high-pressure pumps in Low-Density Polyethylene Autoclave Reactors
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- Using ultrasonic and process data to identify surging and gas lock phenomena during ESP operation
- Abstract
- 1: Introduction
- Material and methods
- 2: Results and discussion
- 3: Conclusions
- References
- A data-driven predictive model of gas flow rate from ultrasound and process variables using artificial neural networks
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Results and discussion
- 4: Conclusions
- References
- An NN-NMPC for Controlling a Crystallization Process in the Saturated and Undersaturated Zones
- Abstract
- 1: Introduction
- 2: Neural Networks Models
- 3: Nonlinear Model Predictive Control
- 4: Conclusion and Prospects
- Acknowledgements
- References
- A novel neural network bounds-tightening procedure for multiparametric programming and control
- Abstract
- 1: Introduction
- 2: Method
- 3: Case Study: Unstable Nonlinear Chemostat
- 4: Conclusions
- References
- Multistage Economic NMPC for Gas Pipeline Networks with Uncertainty
- Abstract
- 1: Introduction
- 2: Model Formulation
- 3: Model Formulation
- 4: Conclusions and Future Work
- References
- A new time-bucket MILP formulation for optimal lot-sizing and scheduling of an industrial make-and-fill process
- Abstract
- 1: Introduction
- 2: Time-bucket MILP formulation
- 3: Case Study
- 4: Results
- 5: Conclusion
- References
- Study of Different Formulations for the Multiperiod Blending Problem Applied to Lithium Recovery from Produced Water
- Abstract
- 1: Introduction
- 2: Problem Formulation and Solution Strategies
- 3: Case Study
- 4: Conclusions
- Acknowledgments
- References
- State and Parameter Estimation in Dynamic Real-time Optimization with Closed-Loop Prediction
- Abstract
- 1: Main Text
- 2: Case Study: Distillation Column
- 3: Simulation Setup
- 4: Production Optimization Methods
- 5: Results and Discussion
- 6: Conclusion
- References
- Unsupervised anomaly detection model for diesel off-spec color change triggered by flooding
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- References
- Artificial neural networks-based identification of the WWTP DO sensor types of faults
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Energy Out-of-distribution Based Fault Detection of Multivariate Time-series Data
- Abstract
- 1: Introduction
- 2: Proposed Methodology
- 3: Numerical Simulation
- 4: Conclusion
- Acknowledgements
- References
- Development of a Centralized Classifier for Decentralized Decision Making
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- Acknowledgments
- References
- Fault detection using Fourier neural operator
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Simulation Studies
- 4: Conclusion
- 5 Acknowledgement
- References
- Proximal policy optimization for the control of mAB production
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- 4: Conclusions
- 5: Acknowledgement
- References
- T3: Safe and sustainable products by design
- Process design and economic evaluation of biomass-based negative emission technologies
- Abstract
- 1: Introduction
- 2: Study Design
- 3: Conclusions
- References
- Design and intensification of the production process of propylene glycol as a high value-added glycerol derivative
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Optimal Design of Heat Integrated Hybrid Dividing Wall Columns by Vapor Recompression
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Studies
- 4: Conclusions
- References
- Efficient use of energy in distillation sequences
- Abstract
- 1: Introduction
- 2: An algorithm for efficient energy integration in distillation
- 3: Discussion on Results
- 4: Conclusions
- 5 Acknowledgments
- References
- The use of Design Thinking in the innovation of artificial connected reefs
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Analysis
- 4: Conclusion and perspectives
- Acknowledgments
- References
- Substitution of hexane in vegetable oil extraction using Computer Aided Molecular Design
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgments
- References
- Innovative process for manufacturing pharmaceutical mini-tablets using 3D printing
- Abstract
- 1: Introduction
- 2: Drop-on-demand printing of mini-tablets
- 3: Materials
- 4: Results
- 5: Conclusions
- 6 Acknowledgments
- References
- Process simulation coupled with life cycle assessment of an alternative polyamide precursor
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- Connectivity Matrix-based Descriptors with Deep Learning for Estimation of Pure Component Properties
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- Novel biorefinery ideas for conversion of biomass to biofuel
- Abstract
- 1: Introduction
- 2: Process description and feedstock selection
- 3: Result and discussion
- 4: Conclusion
- 5: Acknowledgement
- References
- Waste integration for sustainable operation of WWTP’s
- Abstract
- 1: Introduction
- 2: Process description and modeling
- 3: Results
- 4: Conclusions
- Acknowledgments
- References
- Multiscale design methodology for flow reactors supporting rapid prototyping
- Abstract
- 1: Introduction
- 2: Concept of rapid prototyping
- 3: Integrated modeling of trickle bed reactor
- 4: Model-based design approach
- 5: Conclusion
- References
- Computer-aided multi-scale simulation of MOF-based membrane separation for CO2 removal via integration of molecular and process simulation through machine learning
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- Decision making software for cosmetic product design based on an ontology
- Abstract
- 1: Introduction
- 2: Design methodology
- 3: Formultools: an application for the design of cosmetic products
- 4: Conclusions and perspectives
- References
- Evaluation of amines for the removal of acid gases from the liquid hydrocarbons
- Abstract
- 1: Introduction
- 2: Process Details
- 3: Results
- 4: Conclusion
- References
- Embedding Operating Flexibility in Process Design
- Abstract
- 1: Introduction
- 2: Framework
- 3: Case Study: Protein A Chromatography
- 4: Results and Discussion
- 5: Conclusion
- References
- Transfer learning for process design with reinforcement learning
- Abstract
- 1: Introduction
- 2: Methods
- 3: Illustrative case study
- 4: Results and discussion
- 5: Conclusion
- References
- Data augmentation for machine learning of chemical process flowsheets
- Abstract
- 1: Introduction
- 2: Data augmentation methodology
- 3: Case study and Results
- 4: Conclusions
- References
- Systematic synthesis of pathways for hydrogenation and hydrogenolysis of acetylene over catalytic surfaces
- Abstract
- 1: Introduction
- 2: Problem formulation and methodology
- 3: Results and discussion
- Conclusions
- References
- New Methodology Integrating Tray Efficiency Predictions with Internals Design for Valve-Tray Distillation Columns
- Abstract
- 1: Introduction
- 2: Valve-trayed column design methodology
- 3: Case study: separation of i-butane/n-butane mixture
- 4: Discussion
- 5: Conclusion
- References
- Process Design and Intensification of Circulating Catalytic Fluidized Bed Membrane Reactor for Oxidative Coupling of Methane
- Abstract
- 1: Introduction
- 2: Kinetics of Oxidative Coupling of Methane
- 3: Modeling of Conventional Fluidized Bed Reactor (FBR)
- 4: Design and Intensification of Circulating Fluidized Bed Membrane Reactor (FBMR)
- 5: FBMR Results and Technical Insights
- Conclusion
- 6: Future Work
- 5 Acknowledgement
- References
- Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks
- Abstract
- 1: Introduction
- 2: Background
- 3: Methodology
- 4: Results
- 5: Conclusions and future work
- Acknowledgements
- References
- Dhrushti-AI: A multi-screen multi-user eye-tracking system to understand the cognitive behavior of humans in process industries
- Abstract
- 1: Introduction
- 2: Literature Review
- 3: Methodology
- 4: Result & Discussion
- 5: Conclusion
- References
- Digital Twin- A System for Testing and Training
- Abstract
- 1: Introduction
- 2: Development of the Operator Training System
- 3: Benefits of the OTS
- 4: Conclusion
- References
- Process Validation in Modular Plants considering the Scale-Up and Prior Knowledge
- Abstract
- 1: Introduction
- 2: Background
- 3: Methodology
- 4: Case Study
- 5: Conclusions
- References
- Digital Twins for Scale-Up in Modular Plants: Requirements, Concept, and Roadmap
- Abstract
- 1: Introduction
- 2: Background
- 3: Methodology: Expert Interviews
- 4: RoadMap: Vision for Digital Twins in Scale-Up
- 5: Digital Twin Concept
- 6: Discussion and Conclusion
- References
- Modeling and Simulation of a PSA Process for CO2/Syngas Separation
- Abstract
- 1: Introduction
- 2: Methods and Modeling
- 3: Results and Discussion
- 4: Conclusion
- 5 Acknowledgment
- References
- Simultaneous design of integrated cyanobacteria-based biorefinery and its heat exchanger network
- Abstract
- 1: Introduction
- 2: Process Description
- 3: Mathematical Model
- 4: Numerical Results
- 5: Conclusions
- References
- Sustainable Conceptual Design of a Hydrogen Production via Natural Gas pyrolysis
- Abstract
- 1: Introduction
- 2: Methodology and Process Description
- 3: Results and Discussions
- 4: Conclusion
- Acknowledgement
- Reference
- The influence of biomass characteristics and their uncertainties on the production of sustainable aviation fuel
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References:
- Translation Ontology of optimal Decision Making along a Distributed Production Chain by Example
- Abstract
- 1: Introduction
- 2: Industrial challenges and requirements
- 3: Ontology construction principles
- 4: T2B and T2B2B Translation ontology
- 5: Conclusion
- Acknowledgements:
- References
- The Integration of Drug Substance and Drug Product Manufacturing Models: The Missing Link for Model-based End-to-End Process Development
- Abstract
- 1: Introduction
- 2: Pharmaceutical Manufacturing Process Modelling
- 3: Case Study
- 4: Uncertainty Analysis
- 5: Conclusions and Discussion – Industrial and Regulatory Considerations
- Acknowledgments
- References
- Direct Compression Flowsheet Modelling to Assess Tablet Manufacturability and In Vitro Dissolution
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Models
- 4: Results
- 5: Conclusions
- Acknowledgments
- References
- Enhanced hot-liquid water pretreatment of biomass with recovery and valorization of side products
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology/Approach
- 4: Results and discussion
- 5: Conclusions
- References
- Development of deep learning framework to predict physicochemical properties for Ionic liquids
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- 5 Acknowledgment
- 6 Reference
- T4: Green and sustainable processes for the circular economy
- Economic optimization of the Northern Italian supply chain for residual plastic packaging waste treatment
- Abstract
- 1: Introduction
- 2: Modelling framework
- 3: Results
- 4: Conclusions
- References
- Optimisation modeling for decision support in the industrial circular economy activities
- Abstract
- 1: Introduction
- 2: Tools for Circular Economy
- 3: Optimisation Models in CE
- 4: Mathematical Model to be developed
- 5: Conclusion
- References
- Model-Based Design of Experiments for the identification of microalgae growth models with limiting nutrients
- Abstract
- Introduction
- 1: Model and methodology
- 2: Results
- Conclusions
- Acknowledgements
- References
- Enabling circularity: Analysis of factors influencing MSW sorting behaviour in Central Norway
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- A Critical Look at Waste Composition Analyses: Challenges and Opportunities
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Waste valorisation within the Energy-Water-Food Nexus: A hybrid techno-geospatial optimisation approach
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- Levelised Energy-Water-Food (LEWF) Indicator for Biomass Assessment and Optimisation
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- References
- The controlled environment agriculture: a sustainable agrifood production paradigm empowered by systems engineering
- Abstract
- 1: Introduction
- 2: Systems engineering techniques for product and process design
- 3: Systems engineering methods for process operation
- 4: Concluding remarks
- Acknowledgement
- References
- CO2 Capture by Amine-Functionalized Magnesium Oxide: Experimental and Modelling Studies
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Development of ‘Green’ LNG through a CO2 allocation procedure within a CO2 utilisation network in Qatar
- Abstract
- 1: Introduction
- 2: Model Design and Optimisation
- 3: Results and Discussion
- 4: Conclusion
- 5: Acknowledgement
- 6. References
- Process Design and Bayesian Optimization of 5-Hydroxymethylfurfural Hydrodeoxygenation
- Abstract
- 1: Introduction
- 2: HMF Hydrodeoxygenation Flowsheet Design and Analysis
- 3: Bayesian Optimization
- 4: Results and Discussions
- 5: Conclusions
- Acknowledgement
- References
- Investigation of biomass blending ratios for optimal biochar’s soil application
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- Methodology for estimating a country's production of biomethane from agricultural residues: a multiscale and holistic approach
- Abstract
- 1: Introduction
- 2: Framework development
- 3: Result
- 4: Conclusion
- Acknowledgement
- References
- Energy management for controlled environment agriculture based on physics informed neural networks and adaptive linearization based data-driven robust model predictive control with AI
- Abstract
- 1: Introduction
- 2: Physics informed neural network and control framework formulation
- 3: Performance profile of control framework
- 4: Discussion
- References
- Life Cycle Assessment on Chemical Recycling-aided Cascaded Use of Polypropylene Plastics
- Abstract
- 1: Introduction
- 2: LCA Methodology
- 3: Result and Discussion
- 4: Conclusion
- References
- Enviro-economic analysis of tandem and direct processes for ethylene electrosynthesis
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussions
- 4: Conclusions
- Acknowledgments
- References
- Modeling and Experimental Validation of Poly(3-Hydroxybutyrate-co-3-Hydroxyvalerate) Chain Length Distribution
- Abstract
- 1: Introduction
- 2: Experimental Methods
- 3: Mathematical Model
- 4: Results
- 5: Conclusion
- Acknowledgments
- References
- Predictive Modeling and scale-up of Wet Oxidation for Hydrothermal Liquefaction Process Water treatment
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results & Discussion
- 4: Conclusions
- References
- Process Feasibility for Converting the Waste Plastics to Hydrogen and Methanol
- Abstract
- Introduction
- Modelling and Simulation
- 3: Process Description
- 4: Results and Discussion
- 5: Project Feasibility
- Conclusions
- Acknowledgements
- References
- Process development for efficient hydrogen transportation and analyses: technical, economic, and environmental perspectives
- Abstract
- 1: Introduction
- 2: Technology Overview
- 3: Method
- 4: Process design
- 5: Result and Discussion
- 6: Conclusion
- References
- Integration of metabolic models in biorefinery designs using superstructure optimisation
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- References
- Environmental Impacts of Bio-derived Silicon: Uncertainty in the Benefit of Industrial Transition
- Abstract
- 1: Introduction
- 2: Overview of the Silicon Supply Chain
- 3: Agricultural Biomass as a Source of Silicon
- 4: Method
- 5: Results and Discussion
- 6: Conclusion
- Acknowledgements
- References
- Technoeconomic and Life Cycle Assessment of an mRNA Vaccine Integrated Manufacturing Plant
- Abstract
- 1: Introduction
- 2: Material and Methods
- 3: Results and Discussions
- 4: Conclusions
- References
- Obtaining biofuels from agroindustrial waste of Fragaria spp and Mangifera indica spp
- Abstract
- 1: Introduction
- 2: Case study
- 3: Methodology
- 4: Results and discussions
- 5: Conclusions
- References
- Life Cycle Assessment of Cellulose Nanocrystals Production in Sugarcane Biorefineries
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- Acknowledgements
- References
- Decarbonization of energy-intensive industries: sustainable implementation of CO2 recycling within the industrial symbiosis
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Gray and hybrid green ammonia price sensitivity to market fluctuations: the Russia-Ukraine war case
- Abstract
- 1: Introduction
- 2: Simulation of the hybrid-green ammonia plant
- 3: Gray and hybrid-green ammonia production costs
- 4: Conclusions
- References
- Paving the way for the integration of synthesis, assessment, and design tools within an ontological framework
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Results
- 5: Conclusions
- 6: Acknowledgments
- References
- Pyrolysis of livestock manures: Optimal operating conditions and feedstock blending ratios
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- Investigating the feasibility of biomass integrated gasification combined cycle (BIGCC) as a power alternative in Gaza Strip
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- References
- The Infinity Reactor: A new conceptual design for a more cost-efficient CO2 to methanol route
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results & discussion
- 4: Conclusions
- References
- Optimal design of a microbial electrolysis cell for biohydrogen production
- Abstract
- 1: Introduction
- 2: Methodology
- 3. Process model simulation results
- 4. Conclusions
- 5. Acknowledgments
- References
- Simulation and Exergoeconomic Analysis of Brewer’s Spent Grains convective drying process
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- Incorporating negative emissions technologies with policy instruments for net-zero emissions
- Abstract
- 1: Introduction
- 2: Approach
- 3: Illustrative Example
- 4: Conclusion
- References
- Waste valorization of non-commercialized edible mushrooms
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Enviro-economic assessment of sustainable aviation fuel production from direct CO2 hydrogenation
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Ammonia powered solid oxide fuel cells for general aviation propulsion systems: challenges and opportunities
- Abstract
- 1: Introduction
- 2: Ammonia Powered SOFC Modelling
- 3: Results and Discussion
- 4: Conclusion
- References
- Simulation-based design of regional biomass thermochemical conversion system for improved environmental and socio-economic performance
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- Conceptual Design of a Biorefinery to Use Brown Seaweed Sargassum
- Abstract
- 1: Introduction
- 2: Simulation methodology
- 3: Simulation results
- 4: Conclusions
- References
- Design and Production of Biodiesel and Porous Filaments from Endemic Species of the Cienega de Chapala Region
- Abstract
- 1: Introduction
- 2: Biopolymers
- 3: Methodology
- 4: Results and discussions
- 5: Conclusions
- 6. References
- Real-time control and scheduling decision making in fermentation-based food process operations
- Abstract
- 1: Introduction
- 2: Model Development
- 3: Model output
- 4: Conclusions and Future work
- References
- Production of Ca(HCO2)2 from formate solution through CO2 hydrogenation
- Abstract
- 1: Introduction
- 2: Experimental
- 3: Process design and analysis
- 4: Conclusions
- References
- Techno-Economic Process Analysis of the Chemical Recycling of Nylon 6 Using Phosphoric Acid
- Abstract
- 1: Introduction
- 2: Background and Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Multiscale High-throughput Screening for Membrane-based Green Hydrogen Separation Process
- Abstract
- 1: Introduction
- 2: System description
- 3: Multiscale membrane screening method
- 4: Results and discussion
- 5: Conclusion
- Acknowledgement
- References
- Discrete Element Simulation and Economics of Mechanochemical Grinding of Plastic Waste at an Industrial Scale
- Abstract
- 1: Motivation and background
- 2: Methods
- 3: Results and Discussion
- 4: Conclusions
- 5. Acknowledgments
- References
- Multi-scale Modelling and Experimental Investigation of Hydrogen Sulphide Thermal Decomposition
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- References
- Reuse and recycling of waste material: design of a pyrolysis-based process
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results
- 4: Alternatives for processing
- 5: Conclusions
- References
- Life Cycle Assessment of bio-oil produced through lignocellulosic biomass liquefaction
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusions and Future Work
- References
- Impacts of defossilising downstream derivatives in petrochemical clusters – MTBE case study
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion - MTBE case study
- 4: Conclusions and future work
- Acknowledgements
- References
- Methane-to-X: an economic assessment of methane valorisation options to improve carbon circularity
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- Acknowledgements
- References
- Purification of Raw Bio-Methanol from Renewable Feedstocks: A Flexibility Assessment
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusions
- References
- Life cycle assessment of Pine needle-based electricity generation in India
- Abstract
- 1: Introduction
- 2: Methodology
- 3: LCA Results and discussion
- 4: Conclusions
- References
- Evaluation of alternative carbon based ethylene production in a petrochemical cluster: Technology screening & value chain impact assessment
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- Syngas fermentation to ethanol: the effects of gas recycling on economics
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- Acknowledgements
- References
- Modeling, simulation and techno-economic analysis of an integrated biorefinery based on halophytes
- Abstract
- 1: Introduction
- 2: Conceptual design of the integrated biorefinery
- 3: Methods
- 4: Results
- 5: Conclusion
- 6 Acknowledgements
- References
- Optimal Control for Deriving Policies for Global Sustainability
- Abstract
- 1: Introduction
- 2: The GGSM Model
- 3: Scenario Analysis
- 4: Deriving Techno-Socio-Economic Policies
- 5: Summary
- References
- Application of CAPE Tools into Prospective Life Cycle Assessment: A Case Study in Feedstock Recycling of Waste Plastics
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- Acknowledgement
- References
- Designing roadmaps for transitioning to value chains with net-zero emissions: Case of the chemical industry
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- 4: Conclusions and Future Work
- References
- Data Envelopment Analysis of Ammonia and Methanol as Sustainable Energy Storage Vectors
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study: an application to chemical energy vectors route selection
- 4: Results and discussion
- 5: Conclusions
- Acknowledgments
- References
- Simulation of thermochemical recycling of waste plastic to produce dimethyl ether
- Abstract
- 1: Introduction
- 2: Process and Simulation details
- 3: Results and discussions
- 4: Conclusion
- Acknowledgement
- References
- Sustainable recycling of refrigerants: Analysis of alternatives
- Abstract
- 1: Introduction
- 2: Data-based Analysis of Opportunities for Recycling of F-gases
- 3: Evaluation of Alternatives: Recycle of F-gases
- 4: Conclusions
- References
- Thermodynamic study and simulation of the process of separation of the IPA+water mixture by heterogeneous azeotropic distillation
- Abstract
- 1: Introduction
- 2: Experimental set up and protocol
- 3: Results and Discussion
- 4: Conclusions
- References
- Sustainability assessment of poly(butylene succinate) production and End-of-Life options from wheat straw
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- Acknowledgements
- References
- Computer simulation of a plastic waste gasification-solid oxide fuel cell power generation system using Aspen Plus
- Abstract
- 1: Introduction
- 2: Model Development
- 3: Results and Discussion
- 4: Conclusions
- References
- Enhancement of hydrochar from coal discards and sewage sludge (co)-HTC for transition to a low-carbon economy
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussions
- 4: Conclusion
- References
- Fully Electrified Conversion of Low-Quality Plastic Waste to Polymer Precursors
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusions
- 5: Acknowledgments
- References
- Deep neural network-based multi-objective optimization of NOx emission and profit by recovering lignocellulosic biomass
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussions
- 4: Conclusions
- Acknowledgments
- References
- Decarbonization of gray ammonia production through the Allam power cycle: a techno-economic assessment and optimization
- Abstract
- 1: Introduction
- 2: Process simulation
- 3: Results and discussion
- 4: Conclusions
- References
- Into the Valley of Death Rode the Green Transition
- Abstract
- 1: Motivation
- 2: The Green Valley of Death
- 3: Concluding Remarks
- Acknowledgements
- References
- A novel industrial biotechnology approach to valorize fatty acids to bioplastics: scope for scale-up and process efficiency using an integrated approach
- Abstract
- 1: Scope of work
- 2: Challenges in WCO valorisation
- 3: Methodological steps
- 4: Results
- 5: Conclusions
- Acknowledgments
- References
- On the re-deployment of lignocellulosic biorefineries with solvent-free designs and process-to-process integration
- Abstract
- 1: Introduction
- 2: Problem description
- 3: Methodology
- 4: Results
- 5: Conclusions
- Acknowledgements
- References
- T5: Systems methods in industrial biotechnology and biomedical applications
- Digital-twin development for a novel vibrating membrane aiming at fractionating fermentation broths
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- Conclusions
- Acknowledgements
- References
- Post-Combustion Carbon Capture and Utilization by Sodium Hydroxide Aqueous Solution for Bicarbonate Microalgae Cultivation
- Abstract
- 1: Introduction
- 2: Process Design for Bicarbonate Precipitation
- 3: Carbon fixation by Bicarbonate-Based Microalgae Cultivation
- 4: Conclusions
- References
- Comparing different modelling approaches for metabolic network dynamic simulation under uncertainty
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Results and Discussion
- 5: Conclusion
- References
- Integrating hybrid modelling and transfer learning for new bioprocess predictive modelling
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology
- 4: Results and Discussion
- 5: Conclusion
- References
- Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities
- Abstract
- 1: Introduction
- 2: Modeling of synthetic microbial communities with cybergenetic inputs
- 3: Optimal cybergenetic control of synthetic microbial communities
- 4: Predictive cybergenetic control of microbial communities with estimation
- 5: Microbial community with optogenetic control: naringenin biosynthesis
- 6: Conclusion
- References
- Model-based optimization of a recombinant E. coli fed-batch process for best time-space yield and conversion efficiency
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgements
- References
- Closed-loop optimization of high-throughput robotic platforms for reproducible bioprocess development
- Abstract
- 1: Problem statement
- 2: Bayesian automation hierarchy
- 3: Implementation in Apache Airflow
- 4: Case study
- 5: Concluding remarks
- References
- Dynamic microbial-community metabolic modeling for yogurt fermentation based on the metagenome of starter culture
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- Multilevel Discrete Modelling of Microbial Cell Cultures using Population Balances
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Multilevel model discretization
- 4: Results and discussion
- 5: Summary and conclusions
- Acknowledgments
- References
- Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks
- Abstract
- 1: Introduction
- 2: Methods and Materials
- 3: Results and Discussion
- 4: Conclusion
- References
- Digital Twins in Pilot Scale Fermentation: Non-Linear State Estimation for Improving Induction Timing
- Abstract
- 1: Introduction
- 2: Materials & Methods
- 3: Results & Discussion
- Conclusion
- Acknowledgements
- References
- Optimal dosing of thyroid hormones in hypothyroid patients with an individualized compartmental model
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- 4: Conclusions
- References
- Technoeconomic process modelling of waste remediation within a supply chain network
- Abstract
- 1: Introduction
- 2: Architecture
- 3: Results
- 4: Conclusion
- References
- Spatio-temporal analysis of milk safety under climate change
- Abstract
- 1: Introduction
- 2: Materials and Methods
- 3: Results and Discussion
- 4: Conclusion
- Acknowledgement
- References
- Ensemble Kalman Filter for estimation of intracellular nucleotide sugars from extracellular metabolites in monoclonal antibodies
- Abstract
- 1: Introduction
- 2: Material and Methods
- 3: Results & Discussion
- 4: Conclusion & Outlook
- References
- Towards a unified multi-scale strategy for bio-manufacturing process development
- Abstract
- 1: Introduction
- 2: Framework for Biosolutions
- 3: Case Study: Microalgae
- Acknowledgement
- References
- Development of a framework for simulation of biotechnological processes
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Knowledge modelling framework for per-and poly-fluoroalkyl substances (PFAS) treatment solutions
- Abstract
- 1: Introduction
- 2: Framework Development
- 3: Future applications and development of PFAS ontology
- 4: Conclusions
- 5. References
- Combined metabolic modeling and experimental data for enhanced biotechnological production
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- Machine learning models for predicting membranolytic anticancer peptides
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusion
- References
- Data-driven prediction of peptide-MHC binding using oscillations of physicochemical properties
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusions
- References
- A Computational Pipeline to Optimize 3D Scaffolds for Cancer Immunotherapy
- Abstract
- 1: Introduction
- 2: The Scaffold Design Process Journey
- 3: 4D Kauffman Fitness Network
- 4: Future Work
- 5: Conclusion
- References
- Developing Cole-Cole model for Bacillus subtilis fermentation
- Abstract
- 1: Introduction
- 2: Theory
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements:
- References
- Improving accuracy scores of neural network driven QSAR models of mutagenicity
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Analysis
- 4: Conclusions
- Acknowledgements
- References
- Investigating tunable experiment variable effects on hiPSC-CMs maturation via unsupervised learning
- Abstract
- 1: Introduction
- 2: Experimental Procedure for hiPSC-CM Production and Data Collection
- 3: Clustering Algorithms
- 4: Metrics Used for Evaluating Clustering Results
- 5: Results and Discussion
- 6: Conclusions and Future Directions
- 7: Acknowledgments
- References
- On the systematic development of large-scale kinetics using stability criteria and high-throughput analysis of curated dynamics from genome-scale models
- Abstract
- 1: Introduction
- 2: Pilot study: Muconic acid production from S.cerevisiae
- 3: Methods and Materials
- 4: Methodology
- 5: Results and Discussion
- 6: Conclusion
- Acknowledgments
- References
- T6: Multi scale energy systems engineering (organized by the EFCE energy section)
- Development and assessment of intensification alternatives on the lignocellulosic bioethanol production process
- Abstract
- 1: Introduction
- 2: Case Study
- 3: Methodology
- 4: Results
- 5: Conclusions
- References
- Optimal ship-based CO2 transport chains from Mediterranean emission points to the North Sea
- Abstract
- 1: Introduction
- 2: Modelling framework
- 3: Mathematical formulation
- 4: Results
- 5: Conclusions
- References
- DynHeat: Heat Exchanger Network Design for Batch Processes via Dynamic Optimization
- Abstract
- 1: Introduction: Heat Integration in Batch Processes
- 2: The DynHeat Method
- 3: Application to a Case Study
- 4: Conclusion
- Acknowledgements
- References
- Process Simulation Approaches to Reduce Commercial Risk of CCS Projects
- Abstract
- 1: Carbon Capture and Storage
- 2: Commercial Challenges
- 3: Reducing Commercial Risk with Digital Tools
- 4: Process Simulation Case Study
- 5: Conclusions
- References
- Incorporation of non-linear efficiency constraints in green ammonia production design for cost minimisation
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Strategic participation of a gas-fired power plant in interdependent electricity and natural gas markets under carbon emission trading schemes
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Application study
- 4: Results and Discussion
- 5: Conclusions
- Acknowledgments
- References
- Modeling and optimization of hybrid P/VSA-membrane separation processes for CO2 capture from post combustion flue gas
- Abstract
- 1: Introduction
- 2: Process modeling
- 3: Conclusions
- Acknowledgements
- References
- Integration of renewable energy and CO2 capture and utilization technologies for decarbonization of energy intensive process industries
- Abstract
- 1: Introduction
- 2: Plant configurations and main design assumptions
- 3: Results and discussions
- 4: Conclusions
- Acknowledgements
- References
- Simultaneous optimisation of energy recovery and water recirculation in a ceramic plant
- Abstract
- 1: Introduction
- 2: Contextualization of the Case-study
- 3: Optimisation Model
- 4: Post-processing: Economic and Environmental Impact Assessments
- 5: Conclusions
- Acknowledgements
- References
- Embedding Flexibility to the Design of Pressure-Vacuum Swing Adsorption Processes for CO2 Capture
- Abstract
- 1: Introduction
- 2: The system
- 3: The framework
- 4: Results and Discussion
- 5: Conclusion
- References
- Multiple-Model Fault Detection of PEMFC
- Abstract
- 1: Introduction
- 2: PEMFC Multiscale Degradation Model
- 3: Fault Diagnosis Approach
- 4: Simulation Results
- 5: Conclusion
- References
- Implications of Heat and Work Integration in Biomass to Fischer-Tropsch Fuels: A simulation Approach
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- Conclusions
- References
- Modeling and Assessment of Electrochemical Reduction of CO2 in Amine-based Capture Solvents
- Abstract
- 1: Introduction
- 2: Model Development
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Design of CO2 Capture and Mineralization Systems: Integrated Process Optimization and Controllability Assessment in Parallel Infrastructures
- Abstract
- 1: Introduction
- 2: Models and methods
- 3: Implementation
- 4: Results and discussion
- 5: Conclusions
- Acknowledgements
- References
- Accurately Modeling Hydropower in the USA
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study
- 4: Conclusion
- References
- Biogas valorisation to liquid fuels: modelling and setting up process targets.
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Modeling Commercial Fleet Charging and Regulation Strategies via Data-driven Optimization
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case Study and Results
- 4: Conclusions
- References
- Economic Benefits from Planned Renewable Installations in the US using Hydrogen and Modular Ammonia Production Units
- Abstract
- 1: Introduction
- 2: Preliminaries
- 3: Model Formulation
- 4: Results and Discussion
- 5: Conclusion
- References
- Data-Driven Robust Model Predictive Control on Building Climate Control with Renewable Energy
- Abstract
- 1: Introduction
- 2: Building Climate Dynamic Model and RMPC Framework
- 3: Case Study on a Campus Building Adopting Renewable Energy Systems
- 4: Conclusion
- References
- Thermodynamic Modelling and Performance Analysis of Power Plant for Switching from Coal to Biomass
- Abstract
- 1: Introduction
- 2: Process Modelling, Calibration and Validation
- 3: Results and discussions
- 4: Conclusion
- References
- Bottleneck-identification methodology and debottlenecking strategy for heat exchanger network with disturbance
- Abstract
- 1: Introduction
- 2: Disturbance response scheme and load-shift rules
- 3: Heat transfer bottleneck identification and debottleneck strategy
- 4: Case study
- 5: Conclusions
- References
- A Power-to-Gas energy system: modeling and operational optimization for seasonal energy supply and storage
- Abstract
- 1: Introduction
- 2: Modeling of a Power-to-Gas energy system
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Liquid organic hydrogen carriers (LOHC) as a solution for the energy transition: a reactor design assessment
- Abstract
- 1: Introduction
- 2: Reactor modelling
- 3: Results
- 4: Conclusions
- Acknowledgments
- References
- Powering Clean and Affordable Energy through Geothermal Integration: A Case Study on Dominica.
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusion
- References
- Optimal design of a water energy food nexus system through a multi-objective approach
- Abstract
- 1: Introduction
- 2: Problem definition
- 3: Case Study
- 4: Results
- 5: Conclusions
- References
- Techno-economic comparison of peaking power plants: OCGT+CCS vs Lithium-ion batteries
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- 5. References
- Bioenergy with carbon capture and storage (BECCS) – power generation coupled with hydrogen production
- Abstract
- 1: Introduction
- 2: Process design and modelling
- 3: Results
- 4: Conclusion
- References
- Optimizing the Sustainable Energy Transition: A Case Study on Trinidad and Tobago
- Abstract
- 1: Introduction
- 2: Methodology
- 3: 3. Results and Discussion
- 4: Conclusion
- References
- Optimal operation of a sustainable water desalination unit integrated a green energy system
- Abstract
- 1: Introduction
- 2: Problem Formulation
- 3: Numerical results and discussion
- 4: Conclusion
- References
- Optimal production of green hydrogen with grid assistance for enhanced flexibility
- Abstract
- 1: Main Text
- 2: Introduction
- 3: Methodology
- 4: Results and discussion
- 5: Conclusions and outlook
- References
- Water sources evaluation for green hydrogen production: a case study in Brazil
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Main results
- 4: Conclusion
- References
- Sustainable Development Goals assessment of carbon capture on-board
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Parametric study of the reactive absorption of CO2 for soda ash production
- Abstract
- 1: Introduction
- 2: Mathematical model
- 3: Parametric study
- 4: Results and Discussion
- 5: Conclusion and Outlook
- References
- Machine learning enabled modelling and sensitivity analysis for the power generation from a 660 MW supercritical coal power plant
- Abstract
- 1: Introduction
- 2: Variables identification, data-collection, visualization and pre-processing
- 3: Development of Artificial Neural Network Model
- 4: Validation of the developed ANN model
- 5: Partial-derivative based sensitivity analysis of ANN model
- 6: Conclusion
- Reference
- Hydrogen production using renewable energy: solar PV and offshore wind power – An economic evaluation in Bahia.
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- 5. References
- Resilience-aware multi-scale integration of distributed energy systems
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Case study
- 4: Conclusion
- References
- Techno-enviro-economic analysis of H2 economy in China from H2 production to utilization
- Abstract
- 1: Introduction
- 2: Hybrid Power-to-Hydrogen System
- 3: Model Description
- 4: Results and Discussion
- 5: Conclusions
- Acknowledgment
- References
- Towards a novel concept for solid energy storage
- Abstract
- 1: Introduction
- 2: Process design
- 3: Results
- 4: Conclusion
- References
- Multiobjective optimization of distributed energy systems design through 3E (economic, environmental and exergy) analysis
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- Calcium looping for CO2 capture, H2 and electricity coproduction in coal fired power plants
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- 3-E (Energy, Exergy & Ecological) analyses of Chemical Looping Air Separation integrated Oxy-Coal Combustion based Power plant
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Reliability analysis for robust power-to-X design and storage sizing under renewable uncertainty
- Abstract
- 1: Problem statement
- 2: Methodology
- 3: Results and discussion
- References
- Systematic Development of Strategies for the Decarbonization of Process Utility Systems
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Optimization Approach
- 4: Case study and results
- 5: Conclusions
- Acknowledgments
- References
- Energy and Exergy analysis of Biomass Direct Chemical Looping Combustion for CO2 capture and Utilization
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusions
- References
- End-effect mitigation in multi-period stochastic programming of energy storage operations
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results
- 4: Conclusions
- References
- How to accurately fast-track sorbent selection for post-combustion CO2 capture? A comparative assessment of data-driven and simplified physical models for screening sorbents
- Abstract
- 1: Introduction
- 2: Screening methodologies
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- A framework for decision-making to encourage utilization of residential distributed energy systems in Brazil
- Abstract
- 1: Introduction
- 2: Problem definition
- 3: Mathematical model
- 4: Case study
- 5: Conclusion
- References
- Hydrogen infrastructure planning for heat decarbonisation in Great Britain
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Mathematical Formulation and Hierarchical Solution Approach
- 4: Case Study
- 5: Results & Discussion
- 6: Concluding Remarks
- Acknowledgements
- References
- Optimal Concentrated Solar Plant (CSP) location accounting for social and environmental impact: A three-location study in Spain
- Abstract
- 1: Introduction
- 2: Problem formulation
- 3: Solution procedure and Case Study
- 4: Results
- 5: Conclusions
- Acknowledgments
- References
- Inventory data generation for prospective lifecycle design through process modeling of energy recovery from waste plastics
- Abstract
- 1: Introduction
- 2: Material and methodology
- 3: Result and discussion
- 4: Conclusion
- Acknowledgement
- References
- Process intensification in a fixed bed reactor for a small-scale process in the stranded assets
- Abstract
- 1: Background
- 2: Methodology
- 3: Result and Analysis
- 4: Conclusions
- References
- Optimal capacity planning integrating ammonia storage for power and heat decarbonisation
- Abstract
- 1: Introduction
- 2: Optimisation of integrated production and scheduling of power sector
- 3: Case study: Power and heat decarbonisation in the UK in 2040
- 4: Conclusions
- References
- European Union’s biomass availability for Sustainable Aviation Fuel production and potential GHG emissions reduction in the aviation sector: An analysis using GIS tools for 2030
- Abstract
- 1: Introduction
- 2: Scope and Boundary
- 3: Scenario Evaluation
- 4: Conclusions
- References
- Statistical modeling of electrodes manufacture for CO2 electroreduction to value-added products.
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Comparative exergoeconomic analysis of two Organic Rankine Cycle (ORC) configurations
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Hybrid polymeric membrane – chemical absorption system for pre-combustion CO2 capture
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussions
- Acknowledgments
- References
- Electrification of ethylene production: exploring the potential of flexible operation
- Abstract
- 1: Introduction
- 2: Method
- 3: Results
- 4: Conclusion
- References
- An MINLP model for the optimal design of CO2 transportation infrastructure in industrial clusters
- Abstract
- 1: Background
- 2: Problem description
- 3: Mathematical formulation
- 4: Case study
- 5: Conclusion
- 6: Acknowledgement
- References
- Data Driven Leak Detection in a Real Heat Exchanger in an Oil Refinery
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and Discussion
- 4: Conclusion
- References
- Optimization of flash-separation based CO2 purification units
- Abstract
- 1: Introduction
- 2: CPU Configuration
- 3: Modelling Methodology
- 4: Optimization Methodology
- 5: Results
- 6: Conclusions & Future works
- References
- Big data analysis of solar energy fluctuation characteristics and integration of wind-photovoltaic to hydrogen system
- Abstract
- 1: Introduction
- 2: Wind energy and solar energy basic data collection and analysis
- 3: Integration of wind-photovoltaic to hydrogen production system
- 4: Techno-economic and environmental performance analysis
- 5: Conclusions
- References
- Dynamic Modeling and Control of CO2 Capture Systems with a Biphasic Solvent
- Abstract
- 1: Introduction
- 2: Models and methods
- 3: Implementation
- 4: Results and discussion
- 5: Conclusions
- Acknowledgements
- References
- Development of integrated liquid air energy storage systems based on air separation units using waste energy from power plant: A case study of South Korea
- Abstract
- 1: Introduction
- 2: Method
- 3: A case study
- 4: Results and discussion
- 5: Conclusions
- References
- A systematic method for performing pinch analysis of the Liquid Air Energy Storage (LAES) process
- Abstract
- 1: INTRODUCTION
- 2: PINCH ANALYSIS OF LAES PROCESS
- 3: RESULTS AND DISCUSSION
- 4: CONCLUSIONS
- 5 REFERENCES
- Climate-zone-based Techno-Economic Assessment of Different Carbon Capture Technologies for Coal-Fired Power Plants
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Conclusion
- References
- Numerical tool for dynamic simulation of anaerobic digesters including an air-inflated double membrane gasholder
- Abstract
- 1: Introduction
- 2: Model description
- 3: Case studies
- 4: Conclusion
- References
- An iterated double auction model for peer-to-peer electricity trading
- Abstract
- 1: Introduction
- 2: Method
- 3: Results and discussion
- 4: Conclusions
- Acknowledgements
- References
- Comparing operational strategies for alkaline electrolysis systems considering a probabilistic wind power distribution
- Abstract
- 1: Introduction
- 2: Model
- 3: Results
- 4: Conclusion and Outlook
- References
- Conceptual design of pre-treatment units for co-electrolysis of CO₂ and water
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results & discussion
- 4: Conclusion & future work
- Acknowledgements
- References
- A Process Design, Intensification, and Modularization Approach for Membrane-Assisted Reaction Systems
- Abstract
- 1: Introduction
- 2: Process Intensification Synthesis Approach
- 3: Case Study: Hydrogen Production via Steam Reforming
- 4: Conclusion
- 5: Acknowledgement
- References
- Multiscale design and analysis of templated zeolite for Li-O2 battery with improved discharge capacity
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussions
- 4: Conclusion
- References
- Numerical Evaluation of Fuel Utilisation Enhancement Strategies in a Solid Oxide Fuel Cell System Fuelled by Hydrocarbons Mixtures
- Abstract
- 1: Introduction
- 2: Simulation
- 3: Results and discussions
- 4: Conclusions
- References
- Heat pumping and renewable energy integration for decarbonizing brewery industry and district heating
- Abstract
- 1: Introduction
- 2: Process description and methods
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Dynamic Simulation to Verify Operability of LNG Plants with Post Combustion Carbon Capture
- Abstract
- 1: Introduction
- 2: Integration of Post Combustion Carbon Capture Systems with Existing Plants
- 3: Case Study – Analysis of Operability of LNG Plant with PCC Unit
- 4: Conclusions and Recommendations
- References
- Optimization of wind farm layout and cable network topology under generalized wake effects
- Abstract
- 1: Introduction
- 2: The wind farm layout and cable network problem
- 3: Interferences and wake effect computation
- 4: MILP formulation
- 5: Results
- 6: Conclusions
- References
- Mixed-integer recourse in industrial demand response scheduling with interruptible load
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Deterministic model formulation
- 4: Multistage robust formulation with mixed-integer recourse
- 5: Case study
- 6: Conclusion
- 7: Acknowledgements
- References
- Technoeconomic Assessment of Digestate Valorization for Biogas Plant
- Abstract
- 1: Introduction
- 2: Digestate Valorization Model
- 3: Digestate Valorization: A Case Study
- 4: Conclusions
- References
- Optimization of Hydrogen systems for prospective Life Cycle Assessment: Well-to-Tank approach
- Abstract
- 1: Introduction
- 2: Methods and tools
- 3: Case study
- 4: Results
- 5: Conclusions
- References
- A techno-economic assessment of biomass combustion with CO2 capture technology
- Abstract
- 1: Introduction
- 2: Biomass power plant with post-combustion CO2 capture
- 3: Techno-economic assessment
- 4: Conclusions
- Acknowledgments
- References
- Process Modelling and Pinch Analysis for an Integrated System of Anaerobic Digestion with Digestate Recycling via Hydrothermal Gasification
- Abstract
- 1: Background
- 2: Methods
- 3: Results
- 4: Discussion
- 5: Conclusion
- Acknowledgements
- References
- Optimization of a continuous multi-stage fluidized bed system for CO2 capture utilizing temperature swing adsorption
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- References
- Regional sustainability of food-energy-water nexus considering water stress using multi-objective modeling and optimization
- Abstract
- 1: Introduction
- 2: Model description
- 3: Case study of Maharashtra, India
- 4: Results and discussion
- 5: Conclusion
- References
- Toluene as effective LOHC: detailed techno-economic assessment to identify challenges and opportunities
- Abstract
- 1: Introduction
- 2: Toluene value-chain
- 3: Methodology
- 4: Results and discussion
- 5: Conclusions
- References
- Evaluation of Methane Mitigation Technologies in the Upstream Oil and Gas Sector using the TEAM Digital Platform
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- Acknowledgments
- References
- Thermodynamic description of the CO2-AMP-H2O system by ENRTL-RK model
- Abstract
- 1: Introduction
- 2: Thermodynamic modeling with chemical reaction
- 3: Simulation of the process
- 4: Conclusions
- References
- An Automated Approach for Emission Reduction Cost Calculation
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Proposed methodology
- 4: Illustrative Case Study
- 5: Conclusions
- References
- Lumped-Parameter Heat Exchanger Models for the Robust Dynamic Modelling of Power Generation Cycles
- Abstract
- 1: Introduction
- 2: Heat Exchanger Modeling
- 3: Example: Steam Rankine Cycle Modeling
- 4: Conclusion
- References
- Energy and economic analysis of integration of water electrolysis with an oxygen-enriched combustion power plant
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- References
- CO2 water-lean capture: Mathematical modelling and analysis of the industrial process
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- Acknowledgements
- References
- Stochastic pinch analysis to target for resources in batch processes
- Abstract
- 1: Introduction
- 2: Problem statement and mathematical formulation
- 3: Proposed Algorithm
- 4: Illustrative example
- 5: Conclusion
- References
- T7: Sustainable supply chains and ecosystems
- MINLP modelling and optimization of the supply chain for the renewable production of methanol in Mexico
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusions
- References
- Supply chain optimal planning for revalorization of empty plastic pesticide and fertilizer containers
- Abstract
- 1: Introduction
- 2: Problem statement
- 3: Methodology
- 4: Results
- 5: Conclusion
- 6: Acknowledgments
- References
- Developing a Comprehensive Decision Support Optimization Model for Biofuel Supply Chain
- Abstract
- 1: Introduction
- 2: Methodologies
- 3: Result and Discussion
- 4: Conclusion
- References
- Investigation of economic and environmental tradeoffs of spatially explicit biomass supply chains towards the production of net-negative biofuels
- Abstract
- 1: Introduction
- 2: Supply chain and biorefinery model
- 3: Results
- 4: Conclusions
- References
- A MILP-based approach to manage logistics in large industrial gas supply chains
- Abstract
- 1: Introduction
- 2: Problem Statement
- 3: Solution strategy and main assumptions
- 4: Case study and computational results
- 5: Conclusion
- References
- Modelling of reverse supply chains in the context οf circular economy
- Abstract
- 1: Introduction
- 2: Reverse Supply Chains and Circular Economy
- 3: Case studies from the field of Manufacturing
- 4: The Reverse Supply Chain framework features
- 5: Conclusions
- Acknowledgments
- References
- Modular vs centralized manufacturing supply chain: identifying the best solution under uncertainty
- Abstract
- 1: Introduction
- 2: Case study
- 3: Methodology
- 4: Results
- 5: Conclusions
- References
- Stochastic Optimization of Agrochemical Supply Chains with Risk Management
- Abstract
- 1: Introduction
- 2: Problem Statement and Model Formulation
- 3: Discussion
- 4: Conclusion
- References
- Supply Chain Optimization Considering Disruption Demand Uncertainty
- Abstract
- 1: Introduction and Literature Review
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Integrating economic, environmental, and social concerns into the design and planning of supply chains using monetization strategies
- Abstract
- 1: Introduction
- 2: Environmental and social monetization methodologies
- 3: Problem description and model characterization
- 4: Case study
- 5: Results
- 6: Conclusions
- 7: Acknowledgements
- References
- Strategic low-carbon hydrogen supply chain planning under market price uncertainty
- Abstract
- 1: Introduction
- 2: Mathematical formulation
- 3: Case study
- 4: Conclusions
- References
- Ontology Modelling for Valorisation of Sugarcane Bagasse
- Abstract
- 1: Introduction
- 2: The SCB Ontology
- 3: Potential Applications of the SCB Ontology
- 4: Conclusions and Future Work
- Acknowledgements
- References
- Modelling availability and affordability concerns in the design and planning of pharmaceutical supply chains
- Abstract
- 1: Introduction
- 2: Problem Definition and Mathematical Formulation
- 3: Case-Study
- 4: Results and Discussion
- 5: Conclusions and Future work
- Acknowledgements
- References
- Optimization of Decentralized Pine Needle-to-Electricity Supply Chain for Almora District of Uttarakhand, India
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and Discussion
- 4: Conclusions
- References
- Life Cycle Assessment of Two Liquid Organic Hydrogen Carriers
- Abstract
- 1: Introduction
- 2: Context
- 3: LCA Inventory
- 4: Methodologies
- 5: Results and analysis
- 6: Discussion and conclusions
- References
- Distribution planning of medical oxygen supply chains under uncertainty
- Abstract
- 1: Motivation
- 2: Literature review
- 3: Methodology and mathematical developments
- 4: Case study
- 5: Conclusions
- Acknowledgements
- References
- Life-cycle assessment of marine biofuels from thermochemical liquefaction of different olive residues in Spain
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results
- 4: Conclusion
- References
- An optimisation approach for the design of distributed solar farms with shared energy storage in Pakistan
- Abstract
- 1: Introduction
- 2: Model formulation
- 3: Case study
- 4: Discussion
- 5: Conclusion
- References
- Integrating environmental sustainability in next-generation biopharmaceutical supply chains
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results & Discussion
- 4: Conclusion
- References
- Techno-economic assessment of sustainable energy planning on renewable electricity demand-supply networks: A deep learning approach
- Abstract
- 1: Introduction
- 2: Method
- 3: A case study
- 4: Results and discussion
- 5: Conclusions
- References
- Evaluation of centralized/decentralized configuration schemes of CO2 electrochemical reduction-based supply chains
- Abstract
- 1: Introduction
- 2: Mathematical model formulation of CO2-based syngas supply chain
- 3: Case study – CO2-based syngas supply chains
- 4: Case study results
- 5: Conclusion and future work
- Acknowledgments
- 6. References
- Optimization of large-scale energy systems to achieve carbon emissions neutrality
- Abstract
- 1: Introduction
- 2: Methodology for the synthesis of a large-scale renewable energy supply networks
- 3: Results
- Conclusions
- References
- Multi-objective sustainable supply chain design under uncertainty in energy price
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Outlook and further work
- Acknowledgements
- References
- An Ecologically Safe and Socially Just Supply Chain Design for Li-battery
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Development of Ecologically Safe and Socially just Supply Chains
- 4: Conclusions
- Acknowledgements
- References
- Leveraging Semantics and Machine Learning to Automate Circular Economy Operations for the Scrap Metals Industry
- Abstract
- 1: Introduction
- 2: Semantics & Machine Learning for Scrap Metal
- 3: Use Cases/Applications
- 4: Discussion & Conclusions
- Acknowledgments
- References
- System identification of scrap metal shredders under minimal process and feedstock information
- Abstract
- 1: Introduction
- 2: Shredding process: introduction and background
- 3: Energy consumption at the shredder Ed˜
- 4: Estimation of feedstock
- 5: Results
- Acknowledgments
- References
- T8: Education and knowledge transfer
- Development of a user-friendly platform for binary interaction parameter estimation
- Abstract
- 1: Introduction
- 2: Optimization algorithms
- 3: Optimization problem
- 4: Results
- 5: Conclusions
- References
- Liquid-Liquid Equilibrium Data Correlation: Predicting a robust and consistent set of initial NRTL parameters
- Abstract
- 1: Introduction
- 2: Methodology and results
- 3: Conclusions
- Acknowledgments
- References
- Practical learning activities to increase the interest of university applicants in STEM careers in the era of Industry 4.0
- Abstract
- 1: Introduction
- 2: Teaching methods
- 3: Case studies
- 4: Results and discussion
- 5: Conclusions
- References
- Integrating Python in the (bio)chemical engineering curriculum: challenges and opportunities
- Abstract
- 1: Introduction
- 2: Methods
- 3: Results and Discussion
- 4: Learnings and Educational Framework
- 5: Conclusion
- References
- An Online Course for Teaching Process Simulation
- Abstract
- 1: Introduction
- 2: Course Learning Objectives, Syllabus and Schedule
- 3: Outcomes Assessment
- 4: Feedback from Students
- 5: Conclusions
- References
- Designing an interactive environment to share educational materials and resources. Application to the Geomatics Hub at UniLaSalle Beauvais
- Abstract
- 1: Introduction: teaching geomatics at UniLaSalle – Campus of Beauvais
- 2: Development of the Geomatics Hub
- 3: Three years in evaluating the use of the platform
- 4: Conclusion
- References
- Immersive learning through simulation: implementing twin screw extrusion in Unity
- Abstract
- 1: Introduction
- 2: Twin screw extruder modelling
- 3: Implementation in Unity
- 4: Results
- 5: Conclusions
- Acknowledgements
- References
- An Educational Workshop for Effective PSE Course Development
- Abstract
- 1: Introduction
- 2: Course Development Steps
- 3: Outline and outcomes of the CAPE Forum 2022 Workshop
- 4: Conclusions
- References
- Teaching strategies for the effective use of computational tools within the Chemical Engineering curriculum
- Abstract
- 1: Introduction
- 2: Computational tools for mathematical modelling and analysis
- 3: Combination of computational and experimental work
- 4: Modelling and simulation of more complex PSE concepts
- 5: Transition to 3rd year capstone design project
- 6: Conclusions
- References
- Teaching courses to STEM students – Lessons learned from the Pandemics
- Abstract
- 1: Introduction
- 2: Lessons Learned
- 3: Conclusions
- Acknowledgments
- References
- Enhancing Human Machine Interface design using cognitive metrics of process operators
- Abstract
- 1: Introduction
- 2: Literature Studies
- 3: Experimental Studies and Methodology
- 4: Results and discussion
- 5: Conclusions
- References
- A Cloud-based Collaborative Interactive Platform for Education and Research in Dynamic Process Modelling
- Abstract
- 1: Introduction
- 2: The ProMo Workflow
- 3: Simphony-Remote Web Service
- 4: The ProMo-Remote Platform
- 5: Conclusion
- Acknowledgements
- References
- Index
- No. of pages: 3626
- Language: English
- Edition: 1
- Volume: 52
- Published: July 18, 2023
- Imprint: Elsevier
- Hardback ISBN: 9780443152740
- eBook ISBN: 9780443152757
AK
Antonios C. Kokossis
Antonios C. Kokossis serves as the co-director of the National Technology Platform for Sustainable Chemistry, a National Representative of Directorate I (Climate Change & Environment), Affiliate of IEA Bioenergy and EERA Bioenergy, and the Greek Delegate of the Computer Aided Process Engineering (CAPE) group of EFCE. Dr. Kokossis received his Diploma in Chemical Engineering from National Technical University of Athens, Greece and Ph.D. degree in Chemical Engineering from Princeton University (USA). His expertise includes process systems design, modelling, process integration, and optimization. He published academic papers extensively and has consulted with the process industry including UOP, Bayer, Mitsubishi, Eastman, MW Kellogg, BP Oil, Uniliver and more recently, with biorefineries and small companies on renewables
Affiliations and expertise
Co-director, National Technology Platform for Sustainable Chemistry, a National Representative of Directorate I (Climate Change and Environment), Affiliate of IEA Bioenergy and EERA Bioenergy, and the Greek Delegate of the Computer Aided Process Engineering (CAPE) group of EFCE, Athens, GreeceMG
Michael C. Georgiadis
Michael C. Georgiadis is Honorary Senior Research Fellow, Department of Chemical Engineering, Imperial College London. He holds a PhD from Imperial College. His research areas encompass Energy Systems Engineering; Energy Planning and Scheduling; Energy Saving Techniques for the Process Industries; Supply Chain Network Design and Optimisation; Techniques for Project Scheduling; Advanced Process Control of Energy and Production Systems; Modelling , simulation and Dynamic Optimization of oil and gas processes; Computer-Aided Process Design and Synthesis; Design and scheduling of Batch and semi-continuous Processes, Production Planning. Emphasis on food, specialty chemicals and pharmaceutical processes; Optimisation and Control of Drug delivery systems; and Modelling of Biological Systems.
Affiliations and expertise
Honorary Senior Research Fellow, Department of Chemical Engineering, Imperial College London, UKEP
Efstratios Pistikopoulos
Stratos Pistikopoulos holds a PhD in Chemical Engineering, from Carnegie Mellon University, USA. The objective of his research program is to develop fundamental theory and optimization based methodologies and computational tools that enable process engineers to analyze, design and evaluate process manufacturing systems which are economically attractive, energy efficient and environmentally benign, while at the same time exhibit good performance characteristics like flexibility, controllability, robustness, reliability and safety.
Affiliations and expertise
Director, Texas A&M Energy Institute, Dow Chemical Chair, USA