14th International Symposium on Process Systems Engineering

1st Edition, Volume 49 - June 10, 2022
Editors: Yoshiyuki Yamashita, Manabu Kano
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 1 5 9 - 6
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 3 6 6 - 8

14th International Symposium on Process Systems Engineering, Volume 49 brings together the international community of researchers and engineers interested in computing… Read more

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Institutional subscription on ScienceDirect

Request a sales quote

14th International Symposium on Process Systems Engineering, Volume 49 brings together the international community of researchers and engineers interested in computing-based methods in process engineering. The conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 2021 event held in Tokyo, Japan, July 1-23, 2021. It contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and covering future challenges.

Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE.

Cover image
Table of Contents
Copyright
Preface
International Program Committee
Conference Chairs
Member
Copyright
Copyright
Invited Papers and Extended Abstracts
Actions toward carbon-neutral society with fuel cell technology
Abstract
1: The world trend of carbon neutrality and hydrogen energy
2: Fuel cell development for various applications and usages
3: Collaboration for developing fuel cells and expectations for PSE
Conclusions
References
Challenges and Opportunities for Process Systems Engineering in a Changed World
Abstract
1: Introduction
2: PSE methods and tools
3: Challenges and roles of PSE
4: Perspectives (Opportunities)
5: Conclusions
References
PSE Tools and Challenges in the Development of Advanced Pharmaceutical Manufacturing
Abstract
1: Introduction
2: Application in solid-based drug and biologics manufacturing
Acknowledgement
References
Experience and Perspectives on our Journey towards Deep Decarbonization
Abstract
1: Introduction
2: Reduce
3: Recycle / Reuse
4: Replace
5: Conclusions
Acknowledgements
References
Surrogate Modeling and Surrogate-Based Optimization with Stochastic Simulations
Abstract
1: Introduction
2: Framework for Training Surrogate Models for Stochastic Simulations
3: Computational Experiments
4: Results and Discussion
5: Conclusions
References
Application of PSE into social changes: biomass-based production, recycling systems, and regional systems design and assessment
Abstract
1: Introduction
2: Reviews on application of PSE
3: Application of PSE into social changes
4: Conclusions
Acknowledgement
References
Q-MPC: Integration of Reinforcement Learning and Model Predictive Control for Safe Learning
Abstract
1: Introduction
2: Q-model predictive control
3: Simulation studies
4: Conclusions
References
Presentation abstract: Optimization formulations for machine learning surrogates
Abstract
1: Main Text
References
Pharma PSE: a multiscale approach for reimagining pharmaceutical manufacturing
Abstract
1: Introduction
2: Multiscale research viewpoint
3: Research example on cryopreservation of hiPS cells
4: Lessons learnt towards future research
5: Conclusions
Acknowledgement
References
Artificial Intelligence and Process Systems Engineering
Abstract
Contributed Papers: Process and Product Design/Synthesis
Reinventing the Chemicals/Materials Company: Transitioning to a Sustainable Circular Enterprise
Abstract
1: The Chemicals and Materials Industry (CMI)
2: GHG and Materials Emissions from CMI
3: Towards the Circularization of CMI
4: The Research Scope of Sustainable Circular CMI (S-CCMI)
5: Conclusions
Acknowledgements
References
Value Chain Optimization of a Xylitol Biorefinery with Delaunay Triangulation Regression Models
Abstract
1: Introduction
2: Methodology
3: Application
4: Conclusion
Acknowledgments
References
Evaluating the Impact of Model Uncertainties in Superstructure Optimization to Reduce the Experimental Effort
Abstract
1: Introduction
2: Methodology
3: Case study
4: Conclusion and Outlook
Acknowledgement
References
Retrosynthesis Pathway Design Using Hybrid Reaction Templates and Group Contribution-Based Thermodynamic Models
Abstract
1: Introduction
2: Retrosynthetic analysis framework using hybrid reaction templates and GC-based thermodynamic models
3: Case studies
4: Conclusions
References
Optimization-based Design of Product Families with Common Components
Abstract
1: Introduction
2: Product Family Design Formulation
3: Process Case Study
4: Conclusion
Acknowledgements and Disclaimer
References
Economic evaluation and analysis of electricity and nano-porous silica productions from rice husk
Abstract
1: Introduction
2: Process description
3: Methodology of techno-economic analysis
4: Results
5: Conclusions
References
Future biofuels: A Superstructure-Based Optimization Framework Integrating Catalysis, Process Synthesis, and Fuel Properties
Abstract
1: Introduction
2: Superstructure description
3: Mathematical model
4: Results
4: Conclusions
References
Superstructure Optimization of Biodiesel Production from Continuous Stirred Tank and Membrane Reactors
Abstract
1: Introduction
2: Superstructure development
3: Results and discussion
4: Conclusions
References
Process Design and Techno-Economic Analysis of Biomass Pyrolysis By-Product Utilization in the Ontario and Aichi Steel Industries
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusions
References
Optimal design of solar-aided hydrogen production process using molten salt with CO2 utilization for ethylene glycol production
Abstract
1: Introduction
2: Problem description
3: Mathematical formulation
4: Solution algorithm
5: Computational studies
6: Conclusion
References
Design of a novel hybrid process for membrane assisted clean hydrogen production with CO2 capture through liquefaction
Abstract
1: Background
2: Hybrid process concepts
3: Modelling approach and design basis
4: Key performance indicators (KPIs)
5: Results and discussion
6: Conclusions
Acknowledgements
References
Analysis and design of integrated renewable energy and CO2 capture, utilization, and storage systems for low-cost emissions reduction
Abstract
1: Introduction
2: Methods
3: Case Study
4: Conclusions
References
Techno-economic-environmental assessment for optimal utilisation of CO2 in the Fischer-Tropsch gas-to-liquid process
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Machine Learning-based Hybrid Process Design for the Recovery of Ionic Liquids
Abstract
1: Introduction
2: Design method
3: Case studies
4: Conclusions
References
A Short-Cut Method for Synthesis of Solvent-based Separation Processes
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
References
Modeling and Optimization of Ionic-Liquid-Based Carbon Capture: Impact of Thermal Degradation Kinetics
Abstract
1: Introduction
2: Flowsheet description
3: Process economic optimization
4: Conclusions
5 Acknowledgments
References
Process Design of Formic Acid and Methanol Production from CO2 Promoted by Ionic Liquid: Techno-Economic Analysis
Abstract
1: Introduction
2: Process Description
3: Process Simulation
4: Techno-Economic Assessment
5: Results and Discussion
6: Conclusions
Acknowledgments
References
Synthesis of Distillation Sequence with Thermally Coupled Configurations Using Reinforcement Learning
Abstract
1: Introduction
2: Distillation sequence
3: Reinforcement learning
4: Results and discussion
5: Conclusion
Acknowledgements
References
Optimal Design of Heat Integrated Reduced Vapor Transfer Dividing Wall Columns
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Conclusions
References
A Model-Data Driven Chemical Analysis System for Products and Associated Processes
Abstract
1: Introduction
2: Database and Methodology
3: Case studies
4: Conclusions
References
Construction of Database and Data-driven Statistical Models for the Solubility of Nanomaterials in Organic Solvents
Abstract
1: Introduction
2: Solubility database for nanomaterials
3: Selection of solvent features and data-driven solubility models
4: Conclusions
Acknowledgement
References
Fast, efficient and reliable problem solution through a new class of systematic and integrated computer-aided tools
Abstract
1: Introduction
2: Methodology & Associated Tools
3: Case Studies
4: Conclusions
References
Design of Bio-Oil Solvents using Multi-Stage Computer-Aided Molecular Design Tools
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Conclusion
Acknowledgements
References
Synthesis of azeotropic distillation processes without using a decanter
Abstract
1: Introduction
2: Problem Statement
3: Mathematical formulation
4: Case Study
5: Results and Discussions
6: Conclusions
References
Reduce Environmental Impact and Carbon Footprint for Cost Competitive Process Plant Design: Integrating AVEVATM Process Simulation with modeFRONTIER®
Abstract
1: Introduction
2: Simulation model and Design condition
3: Objective function
4: Optimization-driven design
5: Case Study
6: Result
7: Conclusions
References
Reliability incorporated optimal process pathway selection for sustainable microalgae-based biorefinery system: P-graph approach
Abstract
1: Introduction
2: Methodology
3: Development of P-graph model
4: Results and discussion
5: Conclusions
Acknowledgements
References
Marine flue gas desulfurization processes: recent developments, challenges, and perspectives
Abstract
1: Introduction
2: SWFGD systems in a coastal area
3: Maritime SWFGD systems
4: Improvement of water and SWFGD systems
5: Challenges
6: Conclusion
7 Acknowledgement
8. References
Framework for Designing Solid Drug Product Manufacturing Processes Based on Economic and Quality Assessment
Abstract
1: Introduction
2: Developed assessment tools
3: Design framework
4: Conclusions
Acknowledgment
References
A Novel Process Synthesis of a Dehydrating Unit of Domestic Natural Gas Using TEG Contactor and TEG Regenerator
Abstract
1: Introduction
2: Process Description
3: Method
4: Proposed Configurations
5: Results and Discussion
6: Conclusions
Acknowledgements
References
A new trust-region approach for optimization of multi-period heat exchanger networks with detailed shell-and-tube heat exchanger designs
Abstract
1: Introduction
2: Heat Exchanger Model
3: Trust Region Algorithm
4: Case Study
5: Conclusions
References
A mathematical technique for utility exchanger network synthesis and total site heat integration
Abstract
1: Introduction
2: Problem statement
3: Model formulation
4: Case study
5: Conclusions
References
Synthesis and Assessment of NOx to Ammonia Conversion Process in Combined Cycle Power Generation Systems
Abstract
1: Introduction
2: Analysis for introducing two-stage NTA process system to CCGT system
3: Design of CCGT system with single-stage NTA process system
4: Conclusions
Acknowledgement
References
Knowledge integrated, deep neural network-based prediction of stress-strain curves of polymer matrix composites for AI-assisted materials design
Abstract
1: Introduction
2: Background
3: Prediction of mechanical behavior based on chemical/mechanical information of components
4: Predicting mechanical behaviour based on structural information of components
5: Results
6: Conclusion
References
Evaluation of Economic Performance of Co2 Separation Process Using Mixed Matrix Membrane
ABSTRACT
1: Introduction
2: Modelling
3: Result and discussion
4: Conclusions
Acknowledgment
References
Nature vs engineering: Production of methanol from CO2 capture
Abstract
1: Introduction
2: Process description
3: Modelling approach
4: Optimization procedure
5: Results
6: Conclusions
Acknowledgment
References
Superstructure Optimization for the Design of an Algae Biorefinery Producing Added Value Products
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusion
References
Process simulation of continuous biodiesel production catalysed by a high stability solid in a reactive distillation
Abstract
1: Introduction
2: Description of RD and methodology
3: Results and Discussion
4: Conclusions
5 References
Generative Approaches for the Synthesis of Process Structures
Abstract
1: Introduction
2: Recent prospective works on “Generative Approaches”
3: Discussions on generative aspects
4: Conclusive remarks
References
Metal-Organic Framework Targeting for Optimal Pressure Swing Adsorption Processes
Abstract
1: Introduction
2: Workflow of Descriptor-based MOF Targeting
3: Descriptor-based MOF Screening
4: Construction of MOF Building Blocks
5: Computational MOF Synthesis and MOF Targeting
6: Conclusions
References
Energy integration through retrofitting of heat exchanger network at Equinor Kalundborg Oil Refinery
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Modeling and Optimization of Ionic Liquid Enabled Extractive Distillation of Ternary Azeotrope Mixtures
Abstract
1: Introduction
2: Methods
3: Economic Performance Evaluation
4: Conclusions
5 Acknowledgments
6 References
Optimal Design of Hybrid Distillation/ Pervaporation Processes
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Conclusions
References
Design and analysis of a single mixed refrigerant natural gas liquefaction process integrated with ethane recovery and carbon removal using cryogenic distillation
Abstract
1: Introduction
2: Process simulation and optimization
3: Results and discussion
4: Conclusion
Acknowledgement
References
A new decomposition approach for synthesis of heat exchanger network with detailed heat exchanger sizing
Abstract
1: Introduction
2: Mythologies
3: Case study
4: Conclusions
References
A mathematical approach for the synthesis of a wastewater treatment plant using the concept of circular economy
Abstract
1: Introduction
2: Problem statement
3: Circular economy optimization model
4: Case study
5: Conclusions
References
Contributed Papers: Process Dynamics and Control
Convex Q-learning: Reinforcement learning through convex programming
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusion and Future Work
References
Differential Dynamic Programming Approach for Parameter Dependent System Control
Abstract
1: Introduction
2: Background
3: Methodology
4: Simulation Results
5: Conclusions
ACKNOWLEDGEMENT
References
Optimization of an air-cooler operation in an industrial distillation column
Abstract
1: Introduction
2: Method for optimizing the number of fixed fans in operation
3: Application example using operation data from the process industry
4: Conclusions
References
Dynamic Operability Analysis for the Calculation of Transient Output Constraints of Linear Time-Invariant Systems
Abstract
1: Introduction
2: Dynamic Operability Problem Background
3: Calculation of Transient Output Constraints
4: Numerical Example
5: Conclusions
References
Effective Re-identification of a Multivariate Process under Model Predictive Control Using Information from Plant-Model Mismatch Detection
Abstract
1: Introduction
2: Problem setting
3: Proposed Method
4: Case study
5: Conclusions
References
Model Predictive Control of Grade Transition with Attention Base Sequence-to-Sequence Model
Abstract
1: Sequence-to-Sequence Model
2: Attention Mechanism
3: Elastic Net and Systematic Model Improvement
4: A High-Density Polyethylene Reactor
5: Dynamic Modelling
6: Grade Transition Navigation
7: Conclusion
Acknowledgment
References
Real Time Optimization of series of fixed bed catalytic reactors
Abstract
1: Introduction
2: Digital Twin Development
3: Online Implementation
4: Results
5: Conclusions
References
Self-triggered MPC for Perturbed Continuous-time Non-linear Systems
Abstract
1: Introduction
2: Preliminary
3: Description for OCP and Triggering Mechanism
4: Simulation
5: Conclusions
References
A comparative study between MPC and selector-based PID control for an industrial heat exchanger
Abstract
1: Introduction
2: Heat exchanger system
3: Simulation studies
4: Conclusions and future work
References
MILP Formulation for Dynamic Demand Response of Electrolyzers
Abstract
1: Introduction
2: MILP Formulation for Electrolyzer Scheduling
3: Case Study
4: Results
5: Conclusion
Acknowledgements
References
Real-Time Optimal Operation of a Chlor-Alkali Electrolysis Process under Demand Response
Abstract
1: Introduction & Motivation
2: Methodology
3: Case Study
4: Conclusions & Outlook
5 Acknowledgements
References
Explicit Multi-Objective and Hierarchical Model Predictive Control
Abstract
1: Main Text
2: Multi-Objective Model Predictive Control Structure
3: Hierarchical Model Predictive Control Structure
4: Case-study: Continuous Stirred Tank Reactor
5: Conclusion
Acknowledgements
References
A Robust Optimization Strategy for Explicit Model Predictive Control
Abstract
1: Introduction
2: Problem Formulation
3: Methodology
4: Results
5: Conclusions
6 Acknowledgements
7 References
Data-driven Design of a Feed-forward Controller for Rejecting Measurable Disturbance
Abstract
1: Introduction
2: Design Scheme of Disturbance Rejection Controller
3: Numerical examples
4: Conclusions
References
Optimal Operation of Heat Exchanger Networks with Changing Active Constraint Regions
Abstract
1: Introduction
2: Case study modeling
3: Proposed control structure
4: Simulation results and discussion
5: Conclusion
References
Iterative Feedback Tuning for Regulatory Control Systems Using Estimate of Sensitivity Function
Abstract
1: Introduction
2: IFT for regulatory control
3: Controller parameter tuning via IFT
4: Estimate of sensitivity function
5: Numerical Example
6: Conclusions
References
D-RTO as Enabler for Green Chemical Processes – Systematic Application and Challenges in Reactive Liquid Multiphase Systems
Abstract
1: Introduction and Motivation
2: System Information and Technical Application
3: Model Development and D-RTO Framework
4: Case Study
5: Conclusion and Outlook
Acknowledgements
References
Design of PID controllers using semi-infinite programming
Abstract
1: Introduction
2: Numerical examples
3: Conclusions
4 Acknowledgments
References
Safe Chance Constrained Reinforcement Learning for Batch Process Optimization and Control
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Results and Discussion
5: Conclusions
References
Contributed Papers: Scheduling and Planning
Combining Machine Learning with Mixed Integer Linear Programming in Solving Complex Scheduling Problems
Abstract
1: Introduction
2: Modeling
3: Solution efficiency
4: Main Challenges
5: Conclusions
References
Knowledge-guided Hybrid Approach for Scheduling Multipurpose Batch Plants
Abstract
1: Introduction
2: Sequence-based MILP formulation
3: Genetic algorithm
4: Hybrid algorithm
5: Computational Results
6: Conclusions
Acknowledges
References
Scheduling of Electrical Power Systems under Uncertainty using Deep Reinforcement Learning
Abstract
1: Introduction
2: MDP Formulation and Safety
3: Actor-Critic Method for Policy Learning
4: Case Study: IEEE 39-Bus System
5: Conclusion
References
A Reinforcement Learning Approach to Online Scheduling of Single-Stage Batch Chemical Production Processes
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Results and Discussion
5: Conclusions
References
An adaptive multi-cut decomposition based algorithm for integrated closed loop scheduling and control
Abstract
1: Main Text
2: Problem formulation and decomposition
3: Decomposition based solution algorithm
4: Adaptive multicut algorithm
5: Case study
6: Conclusions
References
Uncertainty Evaluation of Biorefinery Supply Chain’s Economic and Environmental Performance Using Stochastic Programming
Abstract
1: Introduction
2: Modular Biorefinery Supply Chain Model
3: Results and discussion
4: Conclusions
Acknowledgements:
References
An Improved Optimization Model for Scheduling of an Industrial Formulation Plant based on Integer Linear Programming
Abstract
1: Introduction
2: Indutrial Formulation Plant
3: Solution Approach
4: Results
5: Conclusion and Outlook
Acknowledgements
References
Optimal Sourcing, Supply and Development of Carbon Dioxide Networks for Enhanced Oil Recovery in CCUS Systems
Abstract
1: Introduction
2: Problem Statement
3: Mathematical Formulation
4: Results
5: Conclusions
6 References
Production scheduling in multiproduct multistage semicontinuous processes. A constraint programming approach
Abstract
1: Introduction
2: Methodology
3: CP model
4: Results
5: Conclusions and future work
References
Maintenance scheduling optimization for decaying performance nonlinear dynamic processes
Abstract
1: Introduction
2: Maintenance scheduling of decaying performance processes
3: Maintenance scheduling of reverse osmosis networks (RONs)
4: Future directions for maintenance scheduling optimization
5: Conclusions
References
Cleaning schedule for heat exchanger networks subjected to maintenance constraints
Abstract
1: Introduction
2: MILP problem formulation description
3: Case study
4: Conclusion and future work
Acknowledgement
References
Estimating Energy Market Schedules using Historical Price Data
Abstract
1: Introduction
2: Methods
3: Results and Discussion
4: Conclusions and Future Work
Acknowledgements
References
Scheduling of Material and Information Flows in the Manufacturing of Chemicals for the Order-to-Cash Process of a Digital Supply Chain
Abstract
1: Introduction
2: Problem Statement
3: Mathematical Model
4: Illustrative Example
5: Conclusions
References
Optimization of Maximum Completion Time of Polymerization Section Based on Improved Estimation of Distribution Algorithm
Abstract
1: Introduction
2: Scheduling model of PVC polymerization section
3: Improved estimation of distribution algorithm
4: Case analysis
5: Conclusions
Reference
Evolutionary Algorithm-based Optimal Batch Production Scheduling
Abstract
1: Introduction
2: Case Study
3: Methodology
4: Results
5: Summary, Conclusion and Outlook
Acknowledgements
References
Cream Cheese Fermentation Scheduling
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Contributed Papers: Supply Chain Management and Logistics
Multi-Objective Optimization of Production Cost and Carbon Loss in the U.S. Petrochemicals Industry
Abstract
1: Introduction
2: Background and Problem Definition
3: Solution Strategies
4: Case Study
5: Conclusions
Acknowledgement
References
Mapping Anthropogenic Carbon Mobilization through Chemical Process and Manufacturing Industries
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
5. Acknowledgments
References
Optimal Designing and Planning of Ethiopia’s Biomass-to-Biofuel Supply Chain Considering Economic and Environmental Dimensions under Strategic and Tactical Levels
Abstract
1: Introduction
2: Methodologies
3: Result and Discussion
4: Conclusions
References
A Novel Integrated Optimal Scheduling Framework for Holistic Refinery Supply Chain Management
Abstract
1: Introduction
2: CM&RM&MOPD model
3: Case study
4: Conclusions
Acknowledgements
References
Roadmap to digital supply chain resilience
Abstract
1: Introduction
2: Stages towards the digital transformation
3: Continuous evolution towards the digital supply chain resilience
4: Conclusions
References
Development of Flexible Framework for Biomass Supply Chain Optimisation
Abstract
1: Introduction
2: Assumptions during model development
3: Generalised representation of the supply chain elements
4: Concept of site and path
5: Formulation of the optimisation problem
6: System development
7: Conclusions
Acknowledgements
References
Lagrangean Decomposition for Integrated Refinery-Petrochemical Short-term Planning
Abstract
1: Introduction
2: Methodology
3: Case study
4: Conclusions
Acknowledgments
References
Green Ammonia Supply Chain Design for Maritime Transportation
Abstract
1: Introduction
2: Mathematical Formulation
3: Computational Case Study
4: Conclusions
References
Optimal agriculture residues revalorization as a biofuel alternative in electric power grids
Abstract
1: Introduction
2: Problem statement
3. Methodology
4: Results
5: Conclusions
Acknowledgements
References
Global Supply Chain Optimization for COVID-19 Vaccine under COVAX initiative
Abstract
1: Introduction
2: Challenges faced by COVAX
3: Problem Statement
4: Supply chain optimization
5: Case study
6: Results
7: Conclusions
References
Optimal Liquefied Natural Gas (LNG) Annual Delivery Program Reflecting both Supplier and Customer Perspectives
Abstract
1: Introduction
2: Problem Description
3: Mathematical Model
4: Results
5: Conclusions
References
The Waste-to-Resource Game: Informed Decision-Making for Plastic Waste Transformers
Abstract
1: Introduction
2: Problem Statement
3: Bargaining Game
4: Pyrolysis Model
5: Case Study
6: Results and Discussion
7: Conclusions
Acknowledgements:
References
Implications of Optimal BECCS Supply Chains on Absolute Sustainability
Abstract
Introduction
Methods
Results
Conclusions
References
A Multi-disciplinary Assessment of Innovations to Improve Grocery Bag Circularity
Abstract
1: The need for more circular grocery bags
2: Baseline model
3: Life cycle assessment
4: Policy
5: Economics
6: Supply chain management
7: Conclusion
Acknowledgements
References
Process Sustainable Supply Chain: integrating monetization strategies in the design and planning
Abstract
1: Introduction
2: Environmental and social monetization methodologies
3: Problem description and model characterization
4: Case study
5: Conclusions
Acknowledgements
References
Contributed Papers: Process Intensification
Systematically Identifying Energy-Efficient and Attractive Multicomponent Distillation Configurations
Abstract
1: Introduction
2: Optimization Model
3: Case Study
4: Conclusions
Acknowledgments
References
Synthesis of Advanced Reactive Distillation Technologies: Early-Stage Assessment Based on Thermodynamic Properties and Kinetics
Abstract
1: Introduction
2: Advanced reactive distillation technologies
3: Research approach, conceptual framework and scope
4: Decision-making methodology applied to two case studies
5: Results and discussion
6: Conclusions
Acknowledgements
References
Process Synthesis and Intensification for Upgrading Natural Gas Liquids in Shale Gas
Abstract
1: Introduction
2: Base Case Flowsheet
3: Systematic Analysis and Evolution of Process Configurations
4: Conclusions
References
Energy-Efficient Direct Cyclohexene to Cyclohexanol Process by Heat Pump Assisted Reactive Distillation
Abstract
1: Introduction
2: Problem Statement
3: Reaction kinetics and phase equilibrium model
4: Process Simulation
5: Process Evaluation
6: Conclusion
Acknowledgements
References
Sustainable Process Intensification of Refrigerant Mixture Separation and Management: A Multiscale Material Screening and Process Design Approach
Abstract
1: Introduction
2: Problem Representation
3: Extractive Distillation Process Synthesis for R-410A Separation
4: Conclusions
5 Acknowledgment
References
A systematic methodology for the optimisation, control and consideration of uncertainty of reactive distillation
Abstract
1: Introduction
2: Methodology
3: Case study
4: Results and Discussion
5: Conclusions
References
Equation Oriented Optimization of Multi Stream Heat Exchanger Design and Operation in Natural Gas Liquefaction Process
Abstract
1: Introduction
2: Model
3: Methodology
4: Optimization Results
5: Conclusions
References
Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm
Abstract
1: Introduction
2: Problem Statement
3: Mathematical Model
4: Solution method
5: Case study
6: Conclusions
Acknowledgements
References
Biphasic Dehydration of Sugars to 5-Hydroxymethylfurfural and Furfural—Multiscale Modeling for Easier Optimization and More Accurate Solvent Selection
Abstract
1: Introduction
2: Multiscale modeling approach
3: Biphasic system
4: Results and discussion
5: Current limitations
6: Conclusions
References
Study of Mass Transfer Coefficient of CO2 Capture in different Solvents using Microchannel: A Comparative Study
Abstract
1: Introduction
2: Selection of system
3: Results and discussion
4: Conclusions
References
Techno-Economic Study of Intensified Ethylene Oxide Production Using High Thermal Conductivity Microfibrous Entrapped Catalyst
Abstract
1: Introduction
2: Process Description and Design
3: Optimization Algorithm
4: Results and Discussion
5: Conclusions
References
Contributed Papers: Integration of Process Operation and Design/Synthesis
Power Systems Infrastructure Planning with High Renewables Penetration
Abstract
1: Introduction
2: Problem Statement
3: Transmission Expansion Formulation
4: Proposed Algorithms
5: Results
6: Conclusions
References
An Optimization Model for the Design and Operation of Reliable Power Generation Systems
Abstract
1: Introduction
2: Problem statement
3: Model formulation
4: Illustrative example
5: Sensitivity analysis
6: Conclusions
Acknowledgement
References
Rule-based Method for Retrofitting Conventional Processes with Integrated Units
Abstract
1: Introduction
2: Method
3: Case Studies
4: Conclusion
References
Integration of Design and Operation for the CO2-based Methanol Synthesis
Abstract
1: Introduction
2: Framework
3: Model
4: Results and discussion
5: Conclusion and outlook
References
Blue Syngas Synthesis via the Integration of Gasification and Reforming Processes
Abstract
1: Introduction
2: Process description
3: Results
4: Conclusions
References
Network optimization of the electrosynthesis of chemicals from CO2
Abstract
1: Introduction
2: Modeling and techno-economic assessment of ECO2R processes
3: Optimization model
4: Case study
5: Results
6: Conclusions
References
A robust design of heat exchanger network for high temperature electrolysis systems
Abstract
1: Introduction
2: Process description
3: Result and discussion
4: Conclusions
References
Techno-economic Assessment of Upstream and Downstream Process Alternatives for the Production of Monoclonal Antibodies
Abstract
1: Introduction
2: Simulation of process alternatives
3: Results and discussion
4: Conclusions
Acknowledgements
References
Biomethane liquefaction followed by CO2 solidification based biogas upgrading process
Abstract
1: Introduction
2: Process design and simulation
3: Process optimization
4: Results and discussion: Process analysis
5: Conclusions
Acknowledgements
References
Importance of interannual renewable energy variation in the design of green ammonia plants
Abstract
1: Introduction
2: Methodology
3: Results
4: Historical Data Analysis
5: Conclusions
References
Integrating Carbon Negative Technologies in Industrial Clusters
Abstract
1: Introduction
2: Approach
3: Illustrative example
4: Conclusion
References
Flexibility analysis of chemical processes considering overlaying uncertainty sources
Abstract
1: Introduction
2: Flexibility index and suggested reformulations
3: Illustrative Example
4: Industrial case study
5: Influence of operational flexibility target value
6: Conclusion
References
Flexible and Sustainable Methanol Production Including Option with Green Hydrogen
Abstract
1: Introduction
2: Results and Discussion
3: Conclusions and Outlook
References
Optimization and Heat Exchanger Network Design of Diethyl Carbonate Two-step Synthesis Process from CO2 and Propylene Oxide
Abstract
1: Introduction
2: Process description and optimization
3: CO2 emission calculation
4: Process intensification and heat integration
5: Conclusion
References
Characterization of Industrial Flaring under Uncertainty for the Design of Optimum Flare Recovery and Utilization Systems
Abstract
1: Introduction
2: Problem statement
3: Flare streams characterization and optimization model
4: Results
5: Conclusions
References
Development of Micro Scale PRC Using Low Grade Geothermal Thermal Energy
ABSTRACT
1: Introduction
2: Modeling
3: Simulation results and discussion
4. Conclusion
5 Reference
Scenario Outcomes for Electric Power Generation Expansion Planning considering the State of Indiana as a Case Study
Abstract
1: Main Text
2: Research Methods
3: Results and Discussion
4: Conclusions
References
Requirements for the quality assessment of virtual commissioning models for modular process plants
Abstract
1: Introduction
2: State of the art
3: Requirements for third-party model integration
4: Quality assessment for virtual commissioning models
5: Conclusion
References
Contributed Papers: Modeling, Analysis, and Simulation
A combinatorial tool for monitoring flocculation processes: Using non-invasive measurements and hybrid deep learning assisted modelling
Abstract
1: Introduction
2: Modelling framework
3: Application example
4: Conclusions
Acknowledgements
References
Optimal Design of Experiments Based on Artificial Neural Network Classifiers for Fast Kinetic Model Recognition
Abstract
1: Introduction
2: Proposed framework and methods
3: Case study description
4: Results
5: Conclusions
References
Modelling of the Rice Bran Protein Extraction using Response Surface Methodology
Abstract
1: Introduction
2: Methodology
3: Results and discussion
Conclusions
Acknowledgement
References
Weibull Reliability Regression Model for Prediction of Bearing Remaining Useful Life
Abstract
1: Background
2: Methodology
3: Result and Discussion
4: Conclusions
References
Supporting Hyperparameter Optimization in Adaptive Sampling Methods
Abstract
1: Introduction
2: Hydroformylation
3: Methodology
4: Results
5: Conclusion
Acknowledgment
References
Optimal Catalyst-Reactor Design for Load-Flexible CO2 Methanation by Multi-Period Design Optimization
Abstract
1: Introduction
2: Fixed-Bed Reactor and Catalyst Particle Model
3: Multi-Period Design Optimization
4: Results
5: Conclusions
6 Acknowledgment
References
Data-Driven Modeling of Long-Term Performance Degradation in Solid Oxide Electrolyzer Cell System
Abstract
1: Background
2: Modeling strategy
3: Discussion and Future Work
4: Conclusions
References
Modeling and Optimal Design of Pressure Swing Adsorber for Carbon Dioxide and Hydrogen Separation from Industrial Waste Gas
Abstract
1: Introduction
2: Process description
3: Mathematical model
4: Results and Discussion
5: Conclusions
Acknowledgement
References
Membrane Characterization with Model-Based Design of Experiments
Abstract
1: Introduction
2: Mathematical model, materials, and methods
3: Fisher Information Matrix (FIM)
4: Results and discussions
5: Conclusions
Acknowledgements
References
Systematic Modelling of Distillation Columns based on Topologies and Ontologies
Abstract
1: Motivation
2: Structural model design
3: Mathematical model design
4: Results and discussion
5: Conclusions
Acknowledgements
References
Sensitivity Analysis of an Electrospray Dehumidification System
Abstract
1: Introduction
2: Electrospray System Computational Fluid Dynamics (CFD) Model
3: Surrogate-based Sobol Sensitivity Analysis
4: Results
5: Conclusions and Future Work
Acknowledgments
References
Rigorous modelling for comparing batch and flow syntheses of a drug substance using heterogeneous hydrogenation
Abstract
1: Introduction
2: Materials and methods
3: Results and discussion
4: Conclusions and outlook
References
Assessment on the heat integration potential for different pressure thermally coupled distillation structures
Abstract
1: Introduction
2: Problem Statement
3: Mathematical formulation
4: Case Study: n-butanol/isobutanol separation
5: Results and Discussions
3: Conclusions
References
Python platform for Tennessee Eastman Process
Abstract
1: Introduction
2: Different versions of TEP
3: Connect TEP to Python
4: Conclusions
References
Computational Modeling of Lube-Oil Flows in Pipelines to Study the Efficacy of Flushing Operations
Abstract
1: Introduction
2: Optimal Control Problems and Applications
3: Viscosity Blending Equations
4: Modeling the Flushing Operation
5: Solution Methodology
6: Results and Discussions
7: Conclusion
References
Comparison of ammonia synthesis plants of different scale with a dynamic model
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusion
References
Simulation Analysis of Gas Feed Method for Development of Ru-Based Catalyst for Ammonia Production
Abstract
1: Introduction
2: Derivation of reaction rate equation for developed Ru-based catalyst
3: Simulation analysis for application of methods for split feed of gas
4: Conclusions
References
Estimation of the effect of liquid viscosity on gas-liquid mass transfer in a bioreactor using CFD-PBM coupled model
Abstract
1: Introduction
2: Methodology
3: Numerical strategy
4: Results and discussion
5: Conclusions
Acknowledgements
References
Knowledge-matching based computational framework for genome-scale metabolic model refinement
Abstract
1: Introduction
2: Knowledge-matching based framework for GEM analysis
3: SID-based GEM refinement
4: Conclusions
References
Multi-Regional Surrogate Model Selection (MRSMS) approach for the analysis and optimal fitting of univariate responses
Abstract
1: INTRODUCTION
2: METHODOLOGY
3: Case Study
5: Conclusion
6 Acknowledgements
7 References
A Digital Reality Pilot Plant for Research and Learning
Abstract
1: Introduction
2: Existing Course Offering
3: A Cognitive Framework for the design of digital reality learning tools
4: Design Study: The PID
5: Conclusion
Acknowledgements
References
Soft sensors development for industrial reactive distillation processes under small training datasets
Abstract
1: Introduction
2: Statement of problem and its analysis
3: Soft sensor evaluation based on the sample extension
4: Conclusions
5: Acknowledgements
References
Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography
Abstract
1: Introduction
2: Methodology
3: Experimental
4: Results
5: Conclusions
References
A predictive model for multi-criteria selection of optimal thermochemical processing pathways in biorefineries
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
References
Numerical Investigation of the Shear Rate Variation in Cooling Crystallization
Abstract
1: Introduction
2: Numerical model
3: Results and discussion
4: Conclusions
Acknowledgements
References
Application of machine learning model to optimization of the hydrogen liquefaction process
Abstract
1: Introduction
2: Hydrogen liquefaction Process
3: Machine learning application result
4: Conclusions
Acknowledgment
References
Density Functional Theory on the CO2 Absorption Process with Ionic Liquids
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
Acknowledgments
References
Transport of CO2/CH4 through PEBA membranes: experiments and mass transfer modelling
Abstract
1: Introduction
2: Methodology
3: Mathematical Model
4: Results
5: Conclusions
References
Mathematical modelling, simulation and optimisation of an indirect water bath heater at the Takoradi distribution station (TDS)
Abstract
1: Introduction
2: Model development
3: Results and discussion
4: Conclusions
References
Marine SOx Scrubber: Mass transfer Analysis, Design, Simulation and Experiment
Abstract
1: Introduction
2: Closed-Loop Square Scrubber With Spray
3: Materials And Methods
4: Results and Discussion
5: Conclusions
6 Acknowledgement
References
Connecting the Simulation Model to the Digital Twin to help drive Sustainability
Abstract
1: Introduction
2: The Digital Twin
3: Unified Engineering
4: Process Simulation lifecycle
5: Conclusion
References
Development of predictive model for the size of gas and liquid slugs formed in millimeter scaled T- junctions
Abstract
1: Introduction
2: Method
3: Experimental
4: Results and discussion
5: Conclusions
References
Enviro-economic assessment of DME synthesis using carbon capture and hydrogen from methane pyrolysis
Abstract
1: Introduction
2: Material and methods
3: Results and discussion
Conclusions
Acknowledgements
References
Operational Envelopes of Cost-effective Sour Gas Desulfurization Processes
Abstract
1: Introduction
2: Process Simulations and Desulfurization Cost Calculations
3: Results & Discussion
4: Conclusions
References
Process Alternatives for the Co-Production of Hydrogen and Methanol using Fuel Switch and Energy Mix Systems
Abstract
1: Introduction
2: Modelling and Simulation
3: Process Description
4: Results and Discussion
5: Economic Analysis and Project Feasibility
6: Conclusions
Acknowledgements
References
Documenting Models Comprehensively Using a Minimal Graphical Language
Abstract
1.1: Background
2: Foundation: Reductionism
3: Language as paper-and-pencil tool and documentation
1.2: Conclusions
Acknowledgments:
References
Simulation and CO2 emission analysis for co-processing of bio-oil and vacuum gas oil
Abstract
1: Introduction
2: Process description
3: Aspen Simulation
3.1: Component provision and material method
4: Results and discussion
5: Conclusion
References
Dynamic Simulation and Optimization of a Subcritical Coal-Fired Power Plant During Load- Ramping Operations
Abstract
1: Introduction
2: Dynamic model description
3: Dynamic simulations
4: Dynamic optimization
5: Conclusions
Acknowledgement & Disclaimer
References
Solvent Screening Methodology considering Techno-Economic and Environmental Sustainability criteria for Algae Lipid Extraction
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Modelling and simulation of the production of n- butyl lactate in a reactive distillation column at pilot plant scale
Abstract
1: Introduction
2: Process Modelling
3: Model simulation
4: Conclusions
Reference
Optimal Design of Offshore Wind Power Farm Considering Wind Uncertainty
Abstract
1: Introduction
2: Problem definition
3: Problem formulation
4: Case study
5: Conclusions
References
Economic and environmental impact of fouling in produced water re-injection
Abstract
1: Introduction
2: Motivating example
3: Results and Discussion
4: Conclusion
5 Acknowledgement
References
Mathematical Modelling of Reactive Inks for Additive Manufacturing of Charged Membranes
Abstract
1: Introduction
2: Dynamic mathematical model for reactive-ink formulation
3: Materials and method
4: Results and discussion
5: Conclusions
Acknowledgments
References
Economic Analysis of a Hydrogen Liquefaction Process Based on Techno-Economic and Energy Optimization
Abstract
1: Introduction
2: Process description
3: Process optimization
4: Results
5: Discussion
6: Conclusions
References
How Digital Twins are Propelling Metals Industry to Next Generation Decision-Making: A Practitioner’s View
Abstract
1: Introduction
2: Understand Digital Twin Technology
3: An Industrial Example: Blast Furnace Digital Twin
4: Development Approach and Lessons Learned
5: Conclusion
References
The study on feasibility of HFO refrigerants in BOG re-liquefaction process
Abstract
1: Introduction
2: Process design
3: Results and discussion
4: Conclusion
References
Novel Design of Optimum Heat Exchanger Networks for Textile Dyeing Process to Maximize Wastewater Heat Recovery Efficiency
Abstract
1: Introduction
2: Process description
3: Methodology
4: Results and discussion
5: Conclusions
Acknowledgements
References
Study on the Kinetic Parameters of Crystallization Process Modelled by Partial Differential Equations
Abstract
1: Introduction
2: Data for snowflake formation process: CA simulation
3: The dynamic equation of snowflake formation based on data: the establishment of partial differential equations
4: The influence of process parameters on snowflakes morphology: from the perspective of the reaction-diffusion system
5: Conclusions
Acknowledgements
References
Graphical user interface for development of dynamics model of fermentation process applying long short-term memory networks
Abstract
1: Introduction
2: Program overview and technical description
3: The Graphic User Interface (GUI)
4: Network performance and results visualization
5: Availability
6: Conclusions
Acknowledgments
References
The biorefinery concept for the industrial valorization of pineapple leaves co-producing ethanol, citric acid, and xanthan gum: a techno- economic analysis
Abstract
1: Introduction
2: Biorefinery process description
3: Economic Analysis
4: Results
5: Conclusions
References
First Principles Based Development of Hybrid Models of Distillation Towers
Abstract
1: Background
2: Case study
3: Modeling approach
4: Results and discussion
5: Conclusions
6 References
Model-Based Development of Fuel Cell Stack and System Controllers
Abstract
1: Introduction
2: FC-system controller and closed-loop simulation of the entire FC system
3: Simulation results and discussion
Conclusions
Acknowledgement
References
Contributed Papers: Optimization Methods and Computational Tools
A Nested Schur Decomposition Approach for Multiperiod Process Optimization
Abstract
1: Introduction
2: Problem statement
3: Solution strategy
4: Implementation
5: Case study
6: Conclusions
References
Design and Optimisation of Boil-off Gas Recycling Strategy in Liquefied Natural Gas Production
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
An Implicit Function Formulation for Nonlinear Programming with Index-1 Differential Algebraic Equation Systems
Abstract
1: Introduction
2: Background and Implementation
3: Case Studies
4: Conclusions
References
Multi-objective optimization of NH3 and CO2 separation with ionic liquid process
Abstract
1: Introduction
2: Methods
3: Results and discussion
4: Conclusion
References
Primal-dual Feedback-optimizing Control with Direct Constraint Control
Abstract
1: Introduction
2: Recent Works and Problem Statement
3: Proposed Control Structure
4: Implementation in Subsea Oil Production Network
5: Conclusions
Acknowledgment
References
Data-driven coordination of expensive black-boxes
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusion
Acknowledgements
References
Data-Driven Adaptive Robust Unit Commitment Assisted by Machine Learning Techniques
Abstract
1: Introduction
2: Data-driven robust unit commitment with disjunctive uncertainty sets
3: Case study based on IEEE 39-bus systems
4: Conclusions
References
Heat integration for superstructure models: A MILP formulation for easy implementation and fast computing
Abstract
1: Introduction
2: Methodology
3: Model evaluation
4: Applied case study
5: Conclusion
6: Funding
References
A Software Framework for Optimal Multiperiod Carbon-Constrained Energy Planning
Abstract
1: Introduction
2: Problem Statement
3: Mathematical Optimisation Formulation
4: Case Study
5: Conclusions
References
Superstructure optimisation in various carbon capture and utilisation supply chains
Abstract
1: Introduction
2: System description
3: CCU optimisation model
4: Results
5: Conclusions
References
Crude Oil Blending Process Optimization with Precise Consideration of Fraction Properties
Abstract
1: Introduction
2: Model description
3: Simulation case
4: Conclusions
Acknowledgements
Reference
Efficient Scenario Generation for Stochastic Programs with Extreme Events
Abstract
1: Introduction
2: Optimization Model – Screening Plan for Colorectal Cancer
3: Scenario Generation Methods and Their Application to the Model
4: Results and Discussion
5: Conclusions and Future Directions
References
A Sustainable Framework for Optimal and Flexible Design Under Uncertainty in Separation Processes: Exergy, Energy, Economic, and Environmental Aspects
Abstract
1: Introduction
2: Case study
3: Framework description
4: Results
5: Conclusion
Acknowledgments
References
Application of nonlinear surrogate models on optimization of carbon capture and utilization network
Abstract
1: Introduction
2: Optimization problem formulation
3: Case study
4: Results and discussion
5: Conclusions
References
Systematic process energy optimization via multi-level heat integration: A case study on low-temperature reforming for methanol synthesis
Abstract
1: Introduction
2: Background on heat integration and optimization
3: Method for process energy optimization via multi-level heat integration
4: Implementation for Methanol Synthesis
5: Conclusions
Acknowledgements
References
Bayesian Optimization for Automobile Catalyst Development
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
Acknowledgements
References
Capacity Planning for Sustainable Process Systems with Uncertain Endogenous Technology Learning
Abstract
1: Introduction
2: Stochastic programming model
3: Industrial case study
4: Conclusions
References
Development of a Bi-Objective Optimisation Framework for Mixed-Integer Nonlinear Programming Problems and Application to Molecular Design
Abstract
1: Introduction
2: Background and motivation
3: Proposed Algorithm
4: Performance of the SDNBI algorithm
5: Results and Discussions
6: Conclusions
Acknowledgements
References
Data-Driven Scenario Generation for Two-Stage Stochastic Programming
Abstract
1: Motivation
2: Literature review
3: Methodology and mathematical developments
4: Case studies – Capacity Planning under uncertainty
5: Conclusions and future work
References
Joint Chance Constrained Process Optimization through Neural Network Approximation
Abstract
1: Introduction
2: Problem formulation
3: Neural network approximation-based optimization
4: Case Study
5: Conclusions
References
Gaussian Processes for Simulation-Based Optimization and Robust Design
Abstract
Introduction
Gaussian Processes
Method
Results
Conclusions
Acknowledgements
References
Machine Learning-Enabled Optimization of Force Fields for Hydrofluorocarbons
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusions
5 Acknowledgements
6 References
Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization
Abstract
1: Introduction
2: Bike sharing rebalancing
3: Surrogate-based optimization
4: Results
5: Conclusions
Acknowledgement:
References
A two-stage network optimization for sustainable treated wastewater planning
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
5 References
Surrogate Modeling for Superstructure Optimization with Generalized Disjunctive Programming
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Results
5: Conclusions
References
Educational Computer-Aided Tools Towards Industry 4.0: Recommendations and BioVL
Abstract
1: Introduction
2: Methodology
3: Results & discussion: BioVL
4: Conclusions & Future perspectives
References
Process Superstructure Optimization through Discrete Steepest Descent Optimization: a GDP Analysis and Applications in Process Intensification
Abstract
1: Introduction
2: Generalized Disjunctive Programming
3: Discrete Steepest Descent Optimization
4: Discrete-steepest descent optimization as a disjunctive algorithm LD-SDA
5: Numerical Experiments
6: Conclusions
References
Advances in Generalized Disjunctive and Mixed- Integer Nonlinear Programming Algorithms and Software for Superstructure Optimization
Abstract
1: Introduction
2: Mixed-Integer Nonlinear Programming
3: Generalized Disjunctive Programming
4: GDPLib, the library for GDP models
5: Conclusions
References
Designing Novel Structured Packings by Topology Optimization and Additive Manufacturing
Abstract
1: Introduction
2: Generative Packing Design
3: Results
4: Conclusions
Acknowledgement
References
Multi-Objective Bayesian Optimization for Design and Operating of Fluidized Bed Reactor
Abstract
1: Introduction
2: Mathematical model : Fluidized Bed Reactor
3: Methodology : Multi-objective Bayesian optimization
4: Results
5: Conclusions
6 Acknowledgement
References
Analysis of Optimization Algorithms for Real-Time Optimization Applied on the Model of a Fluid Catalytic Cracking Unit
Abstract
1: Introduction
2: Methodology
3: Results and analysis
4: Conclusions
References
Scalable Stochastic Programming with Bayesian Hybrid Models
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusions
Acknowledgement
References
A Combined Particle Swarm Optimization and Outer Approximation Optimization Strategy for the Optimal Design of Distillation Systems
Abstract
1: Introduction
2: Methodology
3: Case Studies
4: Conclusions
References
A semantic based decision support framework to enable model and data integration
Abstract
1: Introduction
2: Theoretical formulation of model/data integration
3: Implementation
4. Demonstration
5. Conclusion
References
Contributed Papers: Process Monitoring and Safety
Design of Non-Redundant Sensor Networks for Reliable Estimation in Nonlinear Systems
Abstract
1: Introduction
2: Problem Definition
3: Proposed Methodology
4: Example
5: Case Study
6: Conclusions
References
A Novel Global-Local Feature Preserving Projection Method Based on Adaptive Linear Local Tangent Space Alignment for Process Monitoring
Abstract
1: Introduction
2: NGLFPP Algorithm
3: NGLFPP-Based Process Monitoring
4: Case Study
5: Conclusion
References
Prognostics on Noisy and Uncertain Dynamic Systems using Cumulative Sum Chart of Inferential Sensors
Abstract
1: Introduction
2: Methods
3: Case Study
4: Results – Discussion
5: Conclusions
References
Quantifying Subsea Gas Leakages using Machine Learning: a CFD-based study
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
Acknowledgments
References
Dynamic Risk Analysis for Process Safety
Abstract
1: Introduction
2: Methodology
3: Application of the proposed methodology
4: Conclusions
References
Monitoring of smart chemical processes: A Sixth Sense approach
Abstract
1: Introduction
2: System architecture
3: Results
4: Conclusions
References
Fault detection in a benchmark simulation model for wastewater treatment plants
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusion
References
Formulation of integrated key performance indicator dashboard for chemical plants
Abstract
1: Introduction
2: Integrated KPI
3: KPI tree graph
4: KPI balance graph
5: KPI trend graph
6: Case Study
7: Conclusion
References
Evaluation of risk in the biodiesel production process with supercritical ethanol
Abstract
1: Introduction
2: Case study
3: Process simulation
4: Risk assessment
5: Results
6: Conclusions
Acknowledgments
References
Process Monitoring Based on Deep Neural Networks with Continuous Wavelet Transform
Abstract
1: Introduction
2: Method
3: Case study
4: Result
5: Discussion
6: Conclusions
References
Methyl sec-butyl ether content estimation in MTBE products via clustering-based adaptive nonlinear soft sensors
Abstract
1: Introduction
2: Industrial plant description and problem formulation
3: Methods used for model evaluation
4: Description of the proposed adaptation algorithm
5: Results and discussion
6: Conclusions
Acknowledgements
References
Early Identification of Abnormal Deviations in Nonstationary Processes by Removing Non- Stationarity
Abstract
1: Introduction
2: Methodology
3: The proposed monitoring strategy by removing process non-stationarity
4: Case studies on Tennessee Eastman process (TEP)
5: Conclusions
References
AI System for Substance Identification Based on Chemical Substance-Symptom Knowledge Graph
Abstract
1: Introduction
2: Proposed System: SEARCH
3: Chemical-symptom knowledge base generation
4: Knowledge verification using knowledge graph embedding
5: Identification of symptom-based exposure substances
6: Symptom knowledge expansion using DNN
7: Conclusions
References
Model-based monitoring of an intensified unit for continuous pharmaceutical filtration-drying
Abstract
1: Introduction
2: Continuous filtration-drying of paracetamol/ethanol slurries
3: Monitoring system: implementation and proof of concept
Conclusions
Acknowledgements
References
Plant Fault Diagnosis System using Negative Selection Algorithm
Abstract
1: Introduction
2: Methodology
3: Simulations Results
4: Conclusions
References
Digital Twin of a pilot-scale bio-production setup
Abstract
1: Introduction
2: Digital Models
3: Proposed Framework
4: Lessons learnt
5: Conclusions
Acknowledgements
References
Plant OandM Support System Based on Supervised Data-Clustering Technology
Abstract
1: Introduction
2: Proposed system
3: Data analysis and results
4: Conclusions
References
A Novel Cycle Partitioning Approach to Reliability Based Optimal Sensor Placement for Linear Flow Processes
Abstract
1: Introduction
2: Preliminaries related to reliability based sensor placement design
3: Proposed cycle partitioning based sensor placement design
4: Case Study
5: Conclusions
References
The impact of sampling frequency on chemical process monitoring
Abstract
1: Introduction
2: Methodology
3: Selection of optimal sampling frequency and its application on Tennessee Eastman Process (TEP)
4: Results and discussion
5: Conclusions
References
Autoregressive Distributed Lag Model Based Cointegration Analysis for Batch Process Monitoring
Abstract
1: Introduction
2: ADL model based cointegration analysis
3: ADL cointegration test based batch process monitoring approach
4: Case study on penicillin process
5: Conclusion
Acknowledgements
References
A Data-Driven Fault Detection and Diagnosis by NSGAII-t-SNE and Clustering Methods in the Chemical Process Industry
Abstract
1: Introduction
2: Theory
3: Results and discussion
4: Conclusion
References
Contributed Papers: Cyber-Physical Systems and Security
Cyberattack Detectability-Based Controller Screening: Application to a Nonlinear Process
Abstract
1: Introduction
2: Controller Screening Methodology
3: Application to a Nonlinear Chemical Process
4: Conclusions
References
OPC UA information transfer via unidirectional data diode for ICS cyber security
Abstract
1: Improved security by combining data diode and OPC UA
2: OPC UA secure communication via the unidirectional data diode
3: Conclusions
References
Study on Device Authentication System for Dynamic Zoning of Industrial Control Systems
Abstract
1: Introduction
2: Device Authentication System for Dynamic Zoning
3: System Implementation and Results
4: Discussion
5: Conclusions
References
Designing Framework for Tabletop Exercise to Promote Resilience Against Cyber Attacks
Abstract
1: Introduction
2: Exercises for improving resilience developed
3: Card-Type Incident Response Exercise
4: Pilot Exercise
5: Conclusions
References
Self-Organizing Map Based Approach for Assessment of Control Room Operator Training
Abstract
1: Introduction
2: Experimental Studies and Methodology
3: Results and Discussion
4: Conclusions
Acknowledgments:
References
Digital Twin of Alkaline Water Electrolysis Systems for Green Hydrogen Production
Abstract
1: Introduction
2: Alkaline Water Electrolysis System
3: Model Description
4: Simulation Results
5: Conclusions
Acknowledgements
References
Cyber Security Risks of aspects of operations of OPC Unified Architecture
Abstract
1: Introduction
2: Related Research
3: Proposed approach
4: Evaluation Result
5: Recommendation for secure practice using OPC UA
6: Conclusions
References
Managing Experimental-Computational Workflows in Robotic Platforms using Directed Acyclic Graphs
Abstract
1: Introduction
2: Experimental-computational Workflows
3: Case study
4: Airflow-based implementation environment
5: Concluding remarks
References
Development of cyber incident exercise to be widely adopted in supply chains
Abstract
1: Introduction
2: Imane Card
3: Online IMANE Card
4: Conclusions
References
Requirements to a digital twin-centered concept for smart manufacturing in modular plants considering distributed knowledge
Abstract
1: Introduction
2: Simulation in the life cycle of conventional and modular plants
3: The digital twin and the distribution of knowledge in modular plants
4: A digital twin-centered concept for smart manufacturing in MPs
5: Conclusion
References
Contributed Papers: Machine Learning and Big Data
Equivalence Judgment of Equation Groups Representing Process Dynamics
Abstract
1: Introduction
2: Proposed Method
3: Case Studies
4: Conclusion
Acknowledgments
References
Data-driven operation support for equipment deterioration detection in drug product manufacturing
Abstract
1: Introduction
2: Methodology
3: Case study
4: Results & Discussion
5: Conclusion
References
Pilot Plant 4.0: A Review of Digitalization Efforts of the Chemical and Biochemical Engineering Department at the Technical University of Denmark (DTU)
Abstract
1: Introduction
2: Overall Framework and Infrastructure
3: Database Design
4: Digital Twin Integration
5: Conclusions
References
Identification Method of Multiple Sequential Alarms that Occurred Simultaneously in Plant-operation Data
Abstract
1: Introduction
2: Proposed method
3: Case study
4: Conclusions
References
Understand how CNN diagnoses faults with Grad-CAM
Abstract
1: Introduction
2: Explainable CNN and Grad-CAM
3: Understand how CNN diagnoses faults
4: Conclusions
References
A Comprehensive Framework for the Modular Development of Condition Monitoring Systems for a Continuous Dry Granulation Line
Abstract
1: Introduction
2: Condition Monitoring Framework Development
3: Results and Discussion
4: Conclusions
5 References
Framework for Suppressing Transient Fault Alarms Online
Abstract
1: Introduction
2: Algorithm for suppressing transient fault alarms online
3: Case study
4: Conclusions
References
Using Reinforcement Learning in a Game-like Setup for Automated Process Synthesis without Prior Process Knowledge
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Generation and Benefit of Surrogate Models for Blackbox Chemical Flowsheet Optimization
Abstract
1: Introduction
2: Case Study
3: Framework for Flowsheet Optimization
4: Evaluation and generation of surrogate-models
5: Results
6: Conclusions
Acknowledgement
References
Flowsheet Recognition using Deep Convolutional Neural Networks
Abstract
1: Introduction
2: Deep Convolutional Neural Networks
3: Method
4: Results and Discussions
5: Conclusions
References
Active learning for multi-objective optimization of processes and energy systems
Abstract
1: Introduction
2: Methodology
3: Application
Results
4: Conclusion and outlook
Acknowledgements
References
Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusions
References
Tensor-Based Autoencoder Models for Hyperspectral Produce Data
Abstract
1: Introduction
2: Methodology
3: Experimental Results
4: Conclusions
5 Acknowledgements
References
Molecular Representations in Deep-Learning Models for Chemical Property Prediction
Abstract
1: Introduction
2: Methods
3: Case Study: Predicting the enthalpy of formation of organic compounds
4: Conclusions
References
Deep Reinforcement Learning for Continuous Process Scheduling with Storage, Day-Ahead Pricing and Demand Uncertainty
Abstract
1: Introduction
2: Soft Actor-Critic (SAC) Method
3: System Formulation and Description
4: Case Study Results
5: Conclusions
References
Convolutional Neural Network based Detection and Measurement for Microfluidic Droplets
Abstract
1: Introduction
2: Experiment
3: Method
4: Results and discussions
5: Conclusions
References
Deep Reinforcement Learning Based Controller for Modified Claus Process
Abstract
1: Introduction
2: Seq2Seq and A2C Networks
3: Industrial Example
4: Conclusions
References
Process performance prediction based on spatial and temporal feature extraction through bidirectional LSTM
Abstract
1: Introduction
2: Reactor network process
3: Feature extraction by bidirectional Long short-term memory networks
4: Results
5: Conclusions
Acknowledgement
References
Exploring the Potential of Fully Convolutional Neural Networks for FDD of a Chemical Process
Abstract
1: Introduction
2: Methods
3: Results and Discussion
4: Conclusions
References
Data-driven online scenario selection for multistage NMPC
Abstract
1: Introduction
2: Sensitivity assisted multistage NMPC
3: Data driven sensitivity assisted multistage NMPC
4: Case study
5: Conclusions
References
Data-driven Robust Model Predictive Control with Disjunctive Uncertainty for Building Control
Abstract
1: Introduction
2: Model formulation
3: Control strategy
4: Case study
5: Conclusions
6: Nomenclature
References
Low-Dimensional Input and High-Dimensional Output Modelling Using Gaussian Process
Abstract
1: Introduction
2: Related works
3: High-dimensional-output modelling method
4: Case studies
5: Conclusions
References
Piecewise Smooth Hybrid System Identification for Model Predictive Control
Abstract
1: Introduction
2: Hybrid System Identification
3: Local Predictive Clustering
4: Case Study
5: Conclusions
References
Distillation Column Temperature Prediction Based on Machine-Learning Model Using Wavelet Transform
Abstract
1: Introduction
2: Methods
3: WT-LSTM model development
4: Results and discussion
5: Conclusion
Acknowledgement
References
Moisture Estimation in Woodchips Using IIoT Wi-Fi and Machine Learning Techniques
Abstract
1: Introduction
2: Data collection and feature engineering
3: Results and discussion
4: Conclusions
References
Transfer Learning for Quality Prediction in a Chemical Toner Manufacturing Process
Abstract
1: Introduction
2: Chemical toner manufacturing process
3: Prediction using transfer learning
4: Comparison of prediction methods
5: Application to a mass-production plant
6: Conclusions and future tasks
References
Towards An Automated Physical Model Builder: CSTR Case Study
Abstract
1: Introduction
2: Automated Physical Model Builder
3: Case Study
4: Conclusions
Acknowledgments
References
Forward physics-informed neural networks for catalytic CO2 methanation via isothermal fixed-bed reactor
Abstract
1: Introduction
2: Isothermal fixed-bed reactor for CO2 methanation
3: Forward PINN structure
4: Results and discussion
5: Conclusions
References
Hashing-based just-in-time learning for big data quality prediction
Abstract
1: Introduction
2: Preliminaries
3: Hashing-based just-in-time (HbJIT) modeling method
4: Case studies
5: Conclusions
References
Physics-Constrained Autoencoder Neural Network for the Prediction of Key Granule Properties in a Twin-Screw Granulation Process
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusions
References
CSTR control with deep reinforcement learning
Abstract
1: Introduction
2: Reinforcement Learning and Deep Reinforcement Learning
3: Case study
4: Simulation results
5: Conclusions and further work
References
Application of machine learning and big data for smart energy management in manufacturing
Abstract
1: Introduction
2: Results
3: Conclusion
References
Adaptive least-squares surrogate modeling for reaction systems
Abstract
1: Introduction
2: Problem statement
3: Surrogate model building: an adaptive sampling algorithm
4: Example
5: Conclusions
References
Machine Learning and Inverse Optimization Approach for Model Identification of Scheduling Problems in Chemical Batch Plants
Abstract
1: Introduction
2: Problem description
3: Proposed approach
4: Computational experiments
5: Application to petrochemical batch plant
6: Conclusion and future works
References
Decision-Focused Surrogate Modeling with Feasibility Guarantee
Abstract
1: Introduction
2: Mathematical Formulation
3: Solution Strategy
4: Computational Case Study
5: Conclusions
References
A multi-output machine learning approach for generation of surrogate models in process engineering
Abstract
1: Introduction
2: Multi-output machine learning strategy
3: Case studies
4: Numerical results and discussion
5: Conclusions and future directions
Acknowledgements
References
Grade transition optimization by using gated recurrent unit neural network for styrene-acrylonitrile copolymer process
Abstract
1: Introduction
2: Process description
3: Data-driven GRU dynamic model
4: Improvement of grade transition
5: Conclusions
References
Development of Estimating Algorithm for Biodegradation of Chemicals Using Clustering and Learning Algorithm
Abstract
1: Introduction
2: Methods
3: Results and Discussions
4: Conclusions
Acknowledgements
References
Surrogate Classification based on Accuracy and Complexity
Abstract
1: Introduction
2: Data sets, Surrogate Forms, and Performance Metrics
3: Similarity Assessment and Families Identification
4: Families for NNR2, NNSQS, NR2, and NSQS
5: Conclusions
References
Training Stiff Dynamic Process Models via Neural Differential Equations
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusions
References
Wiz 4.0: A Novel Data Visualisation and Analytics Dashboard for a Graphical Approach to Industry 4.0
Abstract
1: Background
2: Methods
3: Results and Discussion
4: Conclusion
Acknowledgements:
References
About data reduction techniques and the role of outliers for complex energy systems
Abstract
1: Introduction
2: Method
3: Case study
4: Results and Discussion
5: Conclusion
References
DeepGSA: Plant Data-Driven Global Sensitivity Analysis using Deep Learning
Abstract
1: Introduction
2: Methods
3: DeepGSA: Toolbox for plant data-driven and DL-assisted GSA
4: Case Study
5: Conclusions & Future work
References
Analysing Different Dynamically Modelled Data Structures and Machine Learning Algorithms to Predict PM2.5 Concentration in China
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusion
Acknowledgement
References
Practical Human Interface System for Transition Guidance in Chemical Plants using Reinforcement Learning
Abstract
1: Introduction
2: Related work
3: Proposed method
4: Experiment
5: Conclusions
Acknowledgements
References
Surrogate modeling for nonlinear gasoline blending operations
Abstract
1: Introduction
2: Problem statement
3: Surrogate modeling methodology
4: Results and discussion
5: Conclusion
References
Continuous Manufacturing Process Sequential Prediction using Temporal Convolutional Network
Abstract
1: Introduction
2: Methodology
3: Result and discussion
4: Conclusions
Acknowledgment
References
Surrogate modeling for mixed refrigerant streams in the refrigeration cycle of an LNG plant
Abstract
1: Introduction
2: Problem Statement
3: Methodology
4: Results
5: Conclusion
References
Prediction for heat deflection temperature of polypropylene composite with Catboost
Abstract
1: Introduction
2: Method
3: Results and discussions
4: Conclusion and future work
Acknowledgements
References
A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage
Abstract
1: Introduction
2: Methods
3: Case Study
4: Conclusions
References
Data-driven Modeling for Magma Density in the Continuous Crystallization Process
Abstract
1: Introduction
2: Preliminaries
3: Development of the magma density prediction model
4: Results and discussion
5: Conclusion
Acknowledgement
References
Gaussian Process Regression Machine Learning Models for Photonic Sintering
Abstract
1: Introduction
2: Method
3: Results
4: Conclusion
References
Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network
Abstract
1: Introduction
2: Process description
3: Methodology
4: Results and discussion
5: Conclusions
Acknowledgements
References
Guaranteed Error-bounded Surrogate Modeling and Application to Thermodynamics
Abstract
1: Introduction
2: Theoretical Bounded Approximation Of Blackbox Models
3: Gems Framework
4: Application To Surrogate Thermodynamic Modeling
5: CONCLUSIONS
6 Acknowledgment
References
Development of an ANN-based soft-sensor to estimate pH variations in Intelligent Packaging Systems with visual indicators
Abstract
1: Introduction
2: Materials and methods
3: Results
4: Conclusions
Acknowledgments
References
Process Systems Engineering Guided Machine Learning for Speech Disorder Screening in Children
Abstract
1: Introduction
2: Materials and Methods
3: Results and discussion
4: Conclusions
References
Contributed Papers: Energy, Food and Environmental Systems
Emission and mitigation of CO2 and CH4 produced by cattle: a case study in the Brazilian Pantanal
Abstract
1: Introduction
2: Livestock in the Brazilian Pantanal region
3: The system dynamics (SD) model
4: Material and methods
5: Results
6: Conclusion
7 References
Promoting phosphorus recovery at livestock facilities in the Great Lakes region: Analysis of incentive policies
Abstract
1: Introduction
2: Framework for the assessment of incentive policies
3: Results and discussion
4: Conclusions
Disclaimer
References
Production of ethanol, xylitol and antioxidants in a biorefinery from olive tree wastes: process economics, carbon footprint and water consumption
Abstract
1: Introduction
2: Materials and Methods
3: Results and Discussion
4: Conclusions
References
Application of CAPE Tools into Prospective Life Cycle Assessment: A Case Study in Acetylated Cellulose Nanofiber-Reinforced Plastics
Abstract
1: Introduction
2: Materials and methods
3: Results and discussion
4: Conclusions
Acknowledgement
References
Climate Control in Controlled Environment Agriculture Using Nonlinear MPC
Abstract
1: Introduction
2: Dynamic model formulation
3: Nonlinear model predictive control
4: Case studies on simulated CEA
5: Conclusions
References
Thermodynamic Analysis of an Integrated Renewable Energy Driven EWF Nexus: Trade-off Analysis of Combined Systems
Abstract
1: Introduction
2: System Description
3: Thermodynamic Analysis & Results
4: Conclusion
5: Acknowledgment
References
Low-Carbon Hydrogen Production in Industrial Clusters
Abstract
1: Introduction
2: Methodology
3: Results & Discussion
4: Conclusions
References
Thermoacoustic Flow-Through Cooler for Cryogenic Hydrogen
Abstract
1: Introduction
2: Mathematical Model
3: Sample Results
4: Conclusions
References
Life Cycle Assessment of Green Hydrogen Transportation and Distribution Pathways
Abstract
1: Introduction
2: Methodology
3: Results and discussion
4: Conclusions
References
Sector Coupling of Green Ammonia Production to Australia’s Electricity Grid
Abstract
1: Introduction
2: Methodology
3: Grid Connectivity Results
4: Impacts of Scale
5: Operating Considerations
6: Conclusions
References
Development of Multi-Purpose Dynamic Physical Model of Fuel Cell System
Abstract
1: Introduction
2: Physical modeling methods of FC system
3: Model validation and verification
Conclusions
Acknowledgement
References
Embracing the era of renewable energy: model-based analysis of the role of operational flexibility in chemical production
Abstract
1: Introduction
2: Case study 1: methanol production
3: Case study 2: aluminium production
4: Conclusions
References
Hollow Fiber-based Rapid Temperature Swing Adsorption (RTSA) Process for Carbon Capture from Coal-fired Power Plants
Abstract
1: Introduction
2: Process Description
3: Economic Analysis
4: Conclusions
References
Determining Accurate Biofuel System Outcomes: Spatially Explicit Methods for Combined Landscape-Feedstock and Supply Chain Design
Abstract
1: Background
2: Landscape Design Model
3: Model and Data Integration
4: Results
5: Conclusions
References
Assessing the Environmental Potential of Hydrogen from Waste Polyethylene
Abstract
1: Introduction
2: Methods description
3: Results and Discussion
4: Conclusions
Acknowledgments
References
A Systematic Comparison of Renewable Liquid Fuels for Power Generation: Towards a 100% Renewable Energy System
Abstract
1: Introduction
2: Process Description
3: Results
4: Conclusions
References
Guiding innovations and Value-chain improvements using Life-cycle design for Sustainable Circular Economy
Abstract
1: Introduction
2: Life Cycle Assessment (LCA) framework
3: SCE Design Framework
4: Sensitivity optimization for innovation discovery
5: Conclusions
6 Acknowledgments
References
Simultaneous Optimal Operation and Design of a Thermal Energy Storage Tank for District Heating Systems with Varying Energy Source
Abstract
1: Introduction
2: Case Study
3: Methodology
4: Results
5: Conclusions and Future Work
Acknowledgements
References
A flexible energy storage dispatch strategy for day-ahead market trading
Abstract
1: Introduction
2: Methodology
3: Case study
4: Conclusions
References
Monetizing Flexibility in Day-Ahead and Continuous Intraday Electricity Markets
Abstract
1: Introduction
2: Method for optimal bidding strategies in day-ahead and intraday markets
3: Case study: market participation of a multi-energy system
4: Conclusions
Acknowledgements
References
Planetary boundaries analysis of Fischer-Tropsch Diesel for decarbonizing heavy-duty transport
Abstract
1: Introductions
2: Methodology
3: Results
4: Conclusions
Acknowledgements
References
Renewable Power Systems Transition Planning using a Bottom-Up Multi-Scale Optimization Framework
Abstract
1: Introduction
2: Multi-scale bottom-up energy transition optimization framework
3: Case study for New York State
4: Conclusion
References
Design and Operation of Urban Energy Network: Integration of Civic, Industrial, and Transportation Sectors
Abstract
1: Introduction
2: Optimization problem formulation
3: Case study description
4: Results and discussion
5: Conclusions
References
Sustainable Design of Hybrid Energy Systems for Net Zero Carbon Emission
Abstract
1: Introduction
2: Problem Statement and Model Summary
3: Global Optimization Strategy
4: Application to Cornell University Campus Energy Systems
5: Conclusion
References
Prediction of Charge / Discharge Behavior of Tri-Electrode Zinc-air Flow Battery Using Linear Parameter Varying Model
Abstract
1: Introduction
2: Description of tri-electrode ZAFB and experimental data
3: LPV modeling
4: Results and discussion
5: Conclusion
References
An optimized resource supply network for sustainable agricultural greenhouses: A circular economy approach
Abstract
1: Introduction
2: Methodology
3: Results
4: Conclusion
5 References
Exergoeconomic optimization of a double effect evaporation process of coffee extract
Abstract
1: Introduction
2: Materials and Methods
3: Results and Discussion
4: Conclusions
References
Ecohydrological modeling and dynamic optimization for water management in an integrated aquatic and agricultural livestock system
Abstract
1: Introduction
2: Methodology
3: Numerical results
4: Conclusions
References
Parametric Analysis of Ortho-to-Para Conversion in Hydrogen Liquefaction
Abstract
1: Introduction
2: Ortho–to–Para Conversion
3: Research Methods
4: Further Discussion
5: Conclusions
Acknowledgment
References
Model agnostic framework for analyzing rainwater harvesting system behaviors
Abstract
1: Introduction
2: Methods
3: Results and discussion
4: Conclusions
Acknowledgements
References
Global assessment and optimization of renewable energy and negative emission technologies
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusion
Acknowledgment
References
The Trade-Off between Spatial Resolution and Uncertainty in Energy System Modelling
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
References
Designing a Resilient Biorefinery System under Uncertain Agricultural Land Allocation
Abstract
1: Introduction
2: Problem formulation
3: Stochastic optimization
4: Case study details
5: Results and discussion
6: Conclusions
References
LCA modelling as a decision-tool for experimental design: the case of extraction of astaxanthin from crab waste
Abstract
1: Introduction
2: Methodology
3: Results & Discussion
4: Conclusions
References
Decomposition of Organic Compounds in Water from Oil Refineries
Abstract
1: Introduction
2: Proposed process for the treatment of water from oil refineries
3: Methods
4: Results and Discussion
5: Conclusion
References
Energy Harvesting Wireless Sensors Using Magnetic Phase Transition
Abstract
1: Introduction
2: Energy harvesting using magnetic phase transition and sensors
3: Experimental procedure and set-up
4: Experimental results
5: Conclusion
Acknowledgement
References
Competitive Adsorption of Copper, Nickel, and Chromium Ions onto Amine Functionalized SBA-15
Abstract
1: Introduction
2: Materials and methods
3: Results and discussion
4: Conclusions
References
Use of Environmental Assessment and Techno Economic Analysis (TEA) to Evaluate the Impact and Feasibility of Coatings for Manufacturing Processes
Abstract
1: Introduction
2: Goal and scope
3: Data collection and inventory
4: Cost and environmental assessment
5: Conclusions
6 References
Forecasting Operational Conditions: A case-study from dewatering of biomass at an industrial wastewater treatment plant
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusion
5 Acknowledgement
6 References
Plant wide modelling of a full-scale industrial water treatment system
Abstract
1: Introduction
2: Methods
3: Results
4: Conclusion
5 References
A Systematic Framework for the Integration of Carbon Capture, Renewables and Energy Storage Systems for Sustainable Energy
Abstract
1: Introduction
2: THESEUS Framework
3: Results and Discussion
4: Conclusions
5 Acknowledgements
References
Integration of experimental study and computer-aided design: A case study in thermal energy storage
Abstract
1: Introduction
2: Material and Methodology
3: Case study in thermal energy storage
4: Conclusions
Acknowledgement
References
Design support toolbox for renewable-based regional energy systems; The concept, data integration, and simulator development
Abstract
1: Introduction
2: Case studies of designing renewable-based regional energy systems
3: Requirement definition of the design support toolbox
4: Development of modules in the toolbox
5: Conclusions
Acknowledgement
References
Circular Economy Integration into Carbon Accounting Framework for Comprehensive Sustainability Assessment
Abstract
1: Introduction
2: Circular Economy Actions Selection Framework
3: Case Study
4: Conclusions
5 Acknowledgement
References
Design and analysis of fuel-assisted solid oxide electrolysis cell combined with biomass gasifier for hydrogen production
Abstract
1: Introduction
2: Models of Gasifier and Fuel-Assisted Solid Oxide Electrolysis Cell
3: Integrated System process description
4: Results and Discussions
5: Conclusions
6 Reference
Plasma-Based Pyrolysis of Municipal Solid Plastic Waste for a Robust WTE Process
ABSTRACT
1: Introduction
2: Materials and Methods
3: Results and Discussion
4: CONCLUSION
Acknowledgements
References
Contributed Papers: Pharma and Healthcare Systems
Hybrid Modelling Strategies for Continuous Pharmaceutical Manufacturing within Digital Twin Framework
Abstract
1: Introduction
2: Hybrid Multi-zonal Compartmentalization
3: Hybrid Adaptive Modelling
4: Conclusions
Acknowledgement
References
Determination of probabilistic design spaces in the hybrid manufacture of an active pharmaceutical ingredient using PharmaPy
Abstract
1: Introduction
2: Methodology
3: Case Study
4: Results
5: Conclusions
6 Acknowledgement
References
Hybrid Modelling of CHO-MK Cell Cultivation in Monoclonal Antibody Production
Abstract
1: Introduction
2: Methodology
3: Results and Discussion
4: Conclusions
Acknowledgements
References
Multimodal modelling of uneven batch data
Abstract
1: Introduction
2: Materials and Methods
3: Case Study: Industrial Simulation of Penicillin Fermentation
4: Results and Discussions
5: Conclusions
References
Application of MHE-based NMPC on a Rotary Tablet Press under Plant-Model Mismatch
Abstract
1: Introduction
2: Methodology
3: Case Study
3.2: Applying MHE to tablet press: Comparison of fixed model and adaptive model
4: Conclusions
Acknowledgement
References
Gray-box modelling of pharmaceutical roller compaction process
Abstract
1: Introduction
2: Materials and Methods
3: Results
4: Conclusions
References
Multi-objective optimisation for early-stage pharmaceutical process development
Abstract
1: Introduction
2: Methodology
3: Results and discussion
4: Conclusions
Acknowledgments
References
Quality by design and techno-economic modelling of RNA vaccine production for pandemic-response
Abstract
1: Introduction
2: The AVV, mRNA and saRNA vaccine production platform technologies
3: Techno-economic modelling of the AVV, mRNA and saRNA platforms
4: Integration of QbD and techno-economic modeling with the RNA platform
5: Conclusions
Acknowledgements
References
Design of Value Function Trajectory for State of Control in Continuous Manufacturing System
Abstract
1: Introduction
2: Process control with a priori knowledge
3: Reactor Simulation Model
4: Design Space
5: Trajectory Tracking Control
6: Conclusions
References
A Thermodynamic Approach for Simultaneous Solvent, Coformer, and Process Optimization of Continuous Cocrystallization Processes
Abstract
1: Introduction
2: Approach
3: Results and Discussion
4: Conclusions
Acknowledgment
References
Optimizing the selection of drug-polymer-water formulations for spray-dried solid dispersions in pharmaceutical manufacturing
Abstract
1: Introduction
2: Design Methodology
3: Case study: optimal binary and ternary blends for the SSD of naproxen
4: Conclusions
Acknowledgments
References
Integrated design of injectable manufacturing processes considering characteristics of process-and discrete-manufacturing systems
Abstract
1: Introduction
2: Methodology
3: Case study
4: Conclusion
5 References
A bi-level decomposition approach for CAR-T cell therapies supply chain optimisation
Abstract
1: Introduction
2: Materials and methods
3: Results and discussion
4: Conclusions
5 Acknowledgements
References
An agent-based model for cost-effectiveness analysis in the manufacture of allogeneic human induced pluripotent cells in Japan
Abstract
1: Introduction
2: Methods
3: Results and discussion
4: Conclusions and outlook
Acknowledgements
References
Design and operation of healthcare facilities using batch-lines: the COVID-19 case in Qatar
Abstract
1: Introduction
2: Problem statement
3: Mathematical modeling
4: Results
5: Conclusions
References
Application of PSE Methods on Monoclonal Antibody Productivity Improvement and Quality Control
Abstract
1: Introduction
2: Flowsheet modeling and techno-economic analysis
3: Predictive modeling of cell culture and protein glycosylation processes
4: Fed-batch bioreactor modeling and design space identification
5: Conclusions
References
Image classification of experimental yields for cardiomyocyte cells differentiated from human induced pluripotent stem cells
Abstract
1: Introduction
2: Methods and Materials
3: Results and Discussion
4: Conclusions
5 Acknowledgments
References
Prediction of API concentration using NIRS measured offline and in-line instruments
Abstract
1: Introduction
2: Experimental
3: Model development and validation
4: Results
5: Conclusions
References
Author Index

Yoshiyuki Yamashita

Yoshiyuki Yamashita is a professor and a chair of the Department of Chemical Engineering at Tokyo University of Agriculture and Technology (TUAT) in Tokyo. His main areas of expertise include process monitoring and control, as well as artificial intelligence and smart manufacturing. He received his BS, MS and PhD degrees in chemical engineering all from Tohoku University (Sendai, Japan) and subsequently became an assistant professor and associate professor at Tohoku University before joining TUAT in 2007. Dr. Yamashita chairs the Industry-University Research Committee on Process Systems Engineering, Japan Society for the Promotion of Science, since 2016. He is the recepient of the Young Investigator Award of the Society of Chemical Engineers, Japan in 1993, and Outstanding Paper Award of the Journal of Chemical Engineering of Japan in 2000, 2008, 2019 and 2020.

Affiliations and expertise

Professor and Chair of Department of Chemical Engineering, Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan

Manabu Kano

Dr. Manabu Kano is a professor of the Department of Systems Science, Kyoto University. He received BS, MS, and PhD degrees from the Department of Chemical Engineering, Kyoto University, in 1992, 1994, and 1999. He has been working at Kyoto University since 1994. From 1999 to 2000, he was a Visiting Scholar with Ohio State University, U.S. His research interest has focused on applying systems approach and data analytics to various problems related to manufacturing processes and medical and healthcare services. He started a medical venture company ‘Quadlytics Inc.’ in 2018. Dr. Kano was a recipient of many awards, including the Best Paper Awards and the Technology Awards from the Society of Instrument and Control Engineers (SICE), the Sawamura Paper Award from the Iron and Steel Institute of Japan (ISIJ), and the Outstanding Paper Awards of J. Chem. Eng. Japan and the Technology Award from the Society of Chemical Engineers, Japan (SCEJ).

Affiliations and expertise

Professor, Department of Systems Science, Kyoto University, Kyoto, Japan

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health