Sustainable Energy Resources in Smart Cities

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 students. He was the principal investigator of more than ten projects sponsored by industry and academia. He is a theme lead at KU Research Innovation Center on CO2 and H2 (RICH) in H2 Energy Systems. He has received ten awards for his research contributions and impact on the scientific community, including the Mohammed Bin Rashid Medal for Scientific Excellence in 2019 and the 2021 Khalifa Award for Education in Higher Education. Along with his academic experience, Prof. Almansoori has eight years of administrative experience in higher education. He was the Chair of the Department of Chemical Engineering, the Dean of the College of Engineering, and the Interim Senior Vice President for Academic Affairs. He also managed the portfolio of policy and performance in higher education at the Executive Council of Abu Dhabi during his secondment in 2013.

Ali Elkamel, Ph.D., is a Professor of Chemical Engineering at Khalifa University- Abu Dhabi, UAE and at the University of Waterloo, Canada. Professor Elkamel holds a B.Sc. in Chemical Engineering and B.Sc. in Mathematics from Colorado School of Mines, an M.S. in Chemical Engineering from the University of Colorado Boulder, and a Ph.D. in Chemical Engineering from Purdue University. His specific research interests are in computer-aided modeling, optimization, and simulation with applications to energy production planning, carbon management, sustainable operations, and product design. He is currently focusing on research projects related to gas production and processing, integration of renewable energy in oil and gas operations, and using data analytics (digitalization), machine learning, and artificial intelligence (AI) to improve the process and enterprise-wide efficiency and profitability. Prof. Elkamel's activities include supervising post-doctorate and research associates, advising graduate and undergraduate students, and participating in university and professional societal activities. He is also engaged in initiating and leading academic and industrial teams and establishing international and regional research collaboration programs with industrial partners, national laboratories, and international research institutes. Prof. Elkamel has supervised over 70 graduate students and more than 25 post-doctoral research fellows. He has been funded for several research projects by the government and industry. He has more than 260 journal articles, 137 proceedings, and 30 book chapters and has been an invited speaker numerous times at academic institutions worldwide and national and international conferences. He has co-authored four books, including Planning of Refinery and Petrochemical Operations and Environmentally Conscious Fossil Energy Production.