Sustainable Energy Resources in Smart Cities
Springer International Publishing (Verlag)
978-3-031-91515-4 (ISBN)
This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance.
- Presents the latest developments in the application of sustainable energy resources in smart cities;
- Showcases machine learning and deep learning-based approaches for practical energy management;
- Includes international case studies.
Ali Ahmadian, Ph.D., is a research associate with the Department of Chemical Engineering at the University of Waterloo, Canada. He holds a Ph.D. in Electrical Engineering with a strong background in power and energy systems analysis. He has published over 100 papers in journals and conference proceedings and received several national and international research awards. His research interests include transportation electrification, energy and environment, energy economics, and smart grid.
Ali Diabat, Ph.D. is a Global Network Professor of Civil and Urban Engineering at New York University Abu Dhabi. Before that, he was a Full Professor of Engineering Systems and Management at Masdar Institute of Science and Technology in Abu Dhabi. He received his B.Sc. degree in Mechanical Engineering from Jordan University of Science and Technology, his M.Sc. degree in Operations Research from North Carolina State University, and a Ph.D. in Industrial Engineering from Purdue University in 1999, 2003, and 2008, respectively. Dr. Diabat s research focuses on different applications of optimization and operations research, in particular, logistics and supply chain management, healthcare logistics optimization, and production planning. Dr. Diabat has published over 150 research journal papers (75 of them since he joined NYUAD in June 2017) and over 30 conference papers in leading journals and international conference proceedings. Many of his publications are co-authored with his graduate students and, in many cases, with national and international collaborators. Dr. Diabat s research has received about 5 million dollars of grant funding from different industries and collaborative proposals with academic institutions. His industry experience includes working in the oil shipping industry in the Hashemite Kingdom of Jordan. After that, he held a position as a business analyst at United Airlines and two positions as an operations research analyst in the banking and beverages industries, all in the United States. Dr. Diabat has received several teaching awards, including an Outstanding Graduate Instructor Award and an Excellence in Teaching Award from Purdue University in 2004 and 2006, respectively. Dr. Diabat was the recipient of the 2012 Excellence in Teaching Award from Masdar Institute, an achievement of special significance as it was the first award of its kind offered at the Institute. In 2014, he also received the Best Faculty Research Award from the Department of Engineering Systems and Management at Masdar Institute. The most recent award was The Best Engineering Teaching Award in 2022. Dr. Diabat is an Associate Editor of the SME Journal of Manufacturing Systems (JMS) and an Area Editor of the Journal of Computers and Industrial Engineering. He is a member of the Mohammed Bin Rashid Academy of Scientists (MBRAS), a platform for the science community within the UAE that includes a selection of scientists and experts foreseeing the future of developments in science and technology.
Ali Almansoori, Ph.D., is a Professor of Chemical Engineering and Associate Provost for Education at Khalifa University Abu Dhabi. He holds a B.Sc. in Chemical Engineering with highest distinction from the Florida Institute of Technology, a Ph.D. in Chemical Engineering in Process Systems Engineering from Imperial College London, and an Executive MBA from London Business School. His specific research interests are in computer-aided modeling, optimization, and simulation with applications to energy system design, sustainable operations, and supply chain management. He has published over 90 journal articles (of which one appeared in Science magazine), co-authored seven book chapters, presented more than 60 conference papers in local and international conferences or workshops, and supervised over 20 graduate student
Ch 1: An Overview of Sustainable Energy Resources in Smart Cities.- Ch 2: A review of geothermal energy resources, development, and applications in Jordan: Current status and prospects.- Ch 3: Advancing Energy Efficiency in Smart Cities: The Smart Readiness Indicator (SRI) Framework for Sustainable Building Performance.- Ch 4: Optimal Operation of Integrated Electricity and Natural Gas Distribution Networks in Smart Cities.- Ch 5: Multi-Energy Networked Microgrid Scheduling in Smart Cities Under Transactive Energy Concept.- Ch 6: A Cost-Emission Trade-offs in Hybrid Energy Systems Using a Multi-Objective Approach with Demand Response Integration.- Ch 7: Microgrids and Nanogrids Implementation in Smart Cities.- Ch 8: Smart homes and buildings implementation in smart cities.
| Erscheinungsdatum | 28.09.2025 |
|---|---|
| Reihe/Serie | Green Energy and Technology |
| Zusatzinfo | XI, 224 p. 110 illus., 108 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Electric Vehicles • Energy and Environment • Energy Management • Energy Storage Systems • renewable energy • Smart Buildings • smart cities • smart homes • sustainable development • sustainable energy resources |
| ISBN-10 | 3-031-91515-1 / 3031915151 |
| ISBN-13 | 978-3-031-91515-4 / 9783031915154 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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