Häftad, Engelska, 2027

Multi-Scale Sustainable Energy Systems Engineering

2263 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

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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.

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