Multi-Scale Sustainable Energy Systems Engineering
- 1st Edition - April 1, 2027
- Latest edition
- Authors: Efstratios Pistikopoulos, Yuhe Tian
- Language: English
Multi-Scale Sustainable Energy Systems Engineering introduces a unified framework for modeling, analyzing, and optimizing complex energy systems, emphasizing interconnecti… Read more
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Description
Description
Multi-Scale Sustainable Energy Systems Engineering introduces a unified framework for modeling, analyzing, and optimizing complex energy systems, emphasizing interconnections across materials, processes, and sectors to accelerate future energy pathways and the energy transition. The book covers advanced mathematical algorithms, uncertainty management, machine learning, and life cycle assessment, supported by real-world case studies like renewable hydrogen production. Readers will find detailed methods for designing large-scale energy solutions such as power-chemical polygeneration, renewable integration, and supply chain planning, along with considerations for dynamic, environment-aware operations. The final sections explore the food-energy-water nexus and provide practical tutorials using the ENERGIA software platform. This self-contained resource empowers researchers, engineers, policymakers, and graduate students to develop innovative solutions for sustainable energy challenges and contribute meaningfully to the transition towards cleaner, more resilient energy systems.
Key features
Key features
- Provides a multi-scale methodological framework and software tool for the modelling, analysis, and optimization of sustainable energy systems
- Introduces state-of-the-art mathematical optimization, design under uncertainty, machine learning, and life cycle assessment approaches with step-by-step demonstration examples
- Presents a comprehensive set of energy system applications including power-chemical polygeneration, dense energy carriers, renewable energy systems, integrated energy and material transition, and food-energy-water nexus
Readership
Readership
Researchers and Academics in chemical engineering and energy engineering, Graduate students in process systems engineering, energy systems, and sustainability analysis
Table of contents
Table of contents
Part I. Energy Systems Modeling
1. Current Energy Landscape and the Energy Transition
2. Representative Energy Systems
3. Key Modeling Challenges
Part II. Energy Systems Methods and Tools
4. Mathematical Optimization
5. Optimization under Uncertainty
6. Multi-Objective Optimization
7. Machine Learning
8. Life Cycle Assessment
9. Case Study Revisit: Hydrogen Production with Renewable Energy
Part III. Energy Systems Design and Optimization
10. Power-Chemical Polygeneration Energy Systems Design under Uncertainty
11. Biomass-based Coproduction of Ammonia and Methanol
12. Optimizing Renewable Power Systems with Storage using Clustering Decomposition
13. Multi-Product Process Network Optimization with Renewable and Fossil Energy
Part IV. Sustainable Energy Transition
14. ENERGIA - An Integrated Framework for Modeling and Optimization of Energy Systems
15. Integrated Energy and Material Transition via Multi-scale Modeling and Optimization
16. Integrating Time-Varying Environmental Indicators for Enhanced Sustainability
17. Hydrogen-Based Dense Energy Carrier Supply Chain Planning
Part V. Food-Energy-Water Nexus
18. The Food-Energy-Water Nexus
19. Food: Optimal Greenhouse Farming Systems Design and Operation
20. Energy: Optimal Design of Renewable Energy Systems
21. Water: Design of Reverse Osmosis Desalination Plants
22. Revisit: The Full Integration of Food-Energy-Water Nexus
Part VI. ENERGIA Software Toolbox
23. ENERGIA Software Prototype and Hands-On Tutorials
1. Current Energy Landscape and the Energy Transition
2. Representative Energy Systems
3. Key Modeling Challenges
Part II. Energy Systems Methods and Tools
4. Mathematical Optimization
5. Optimization under Uncertainty
6. Multi-Objective Optimization
7. Machine Learning
8. Life Cycle Assessment
9. Case Study Revisit: Hydrogen Production with Renewable Energy
Part III. Energy Systems Design and Optimization
10. Power-Chemical Polygeneration Energy Systems Design under Uncertainty
11. Biomass-based Coproduction of Ammonia and Methanol
12. Optimizing Renewable Power Systems with Storage using Clustering Decomposition
13. Multi-Product Process Network Optimization with Renewable and Fossil Energy
Part IV. Sustainable Energy Transition
14. ENERGIA - An Integrated Framework for Modeling and Optimization of Energy Systems
15. Integrated Energy and Material Transition via Multi-scale Modeling and Optimization
16. Integrating Time-Varying Environmental Indicators for Enhanced Sustainability
17. Hydrogen-Based Dense Energy Carrier Supply Chain Planning
Part V. Food-Energy-Water Nexus
18. The Food-Energy-Water Nexus
19. Food: Optimal Greenhouse Farming Systems Design and Operation
20. Energy: Optimal Design of Renewable Energy Systems
21. Water: Design of Reverse Osmosis Desalination Plants
22. Revisit: The Full Integration of Food-Energy-Water Nexus
Part VI. ENERGIA Software Toolbox
23. ENERGIA Software Prototype and Hands-On Tutorials
Product details
Product details
- Edition: 1
- Latest edition
- Published: April 1, 2027
- Language: English
About the authors
About the authors
EP
Efstratios Pistikopoulos
Stratos Pistikopoulos is the Director of the Texas A&M Energy Institute, and a University Distinguished Professor holding the Dow Chemical Chair in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He holds a Diploma from the Aristotle University of Thessaloniki and a Ph.D. degree from Carnegie Mellon University. His research focuses on modelling, data analysis, multiparametric control and optimization of energy, process and systems engineering & automation applications.
Affiliations and expertise
University Distinguished Professor, Director, Texas A&M Energy Institute, Dow Chemical Chair, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, USAYT
Yuhe Tian
Dr. Yuhe Tian is Assistant Professor in the Department of Chemical and Biomedical Engineering at West Virginia University. Prior to joining WVU, she received her Ph.D. degree in Chemical Engineering from Texas A&M University (2016-2021). She holds Bachelor’s degrees in Chemical Engineering and Mathematics from Tsinghua University, China (2012-2016). Her research focuses on the development and application of multi-scale systems engineering tools for modular process intensification, sustainable energy systems, advanced control and real-time decision-making.
Affiliations and expertise
Assistant Professor, Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA