Multi-Scale Sustainable Energy Systems Engineering

Häftad, Engelska, 2027

2 206 kr

Kommande

Beskrivning

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.

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

Produktinformation

Utgivningsdatum:2027-04-01
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:350
Förlag:Elsevier Science
ISBN:9780443449345

Utforska kategorier

Företagsekonomi inom Ekonomi och Ledarskap
Tillverkningsteknik inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT

Mer om författaren

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. 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.

Innehållsförteckning

Part I. Energy Systems Modeling1. Current Energy Landscape and the Energy Transition2. Representative Energy Systems3. Key Modeling ChallengesPart II. Energy Systems Methods and Tools4. Mathematical Optimization5. Optimization under Uncertainty6. Multi-Objective Optimization7. Machine Learning8. Life Cycle Assessment9. Case Study Revisit: Hydrogen Production with Renewable EnergyPart III. Energy Systems Design and Optimization10. Power-Chemical Polygeneration Energy Systems Design under Uncertainty11. Biomass-based Coproduction of Ammonia and Methanol12. Optimizing Renewable Power Systems with Storage using Clustering Decomposition13. Multi-Product Process Network Optimization with Renewable and Fossil EnergyPart IV. Sustainable Energy Transition14. ENERGIA - An Integrated Framework for Modeling and Optimization of Energy Systems15. Integrated Energy and Material Transition via Multi-scale Modeling and Optimization16. Integrating Time-Varying Environmental Indicators for Enhanced Sustainability17. Hydrogen-Based Dense Energy Carrier Supply Chain PlanningPart V. Food-Energy-Water Nexus18. The Food-Energy-Water Nexus19. Food: Optimal Greenhouse Farming Systems Design and Operation20. Energy: Optimal Design of Renewable Energy Systems21. Water: Design of Reverse Osmosis Desalination Plants22. Revisit: The Full Integration of Food-Energy-Water NexusPart VI. ENERGIA Software Toolbox23. ENERGIA Software Prototype and Hands-On Tutorials