£120.77

Springer Electric Vehicles in Energy Systems: Modelling, Integration, Analysis, and Optimization

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Description

This book discusses the technical, economic, and environmental aspects of electric vehicles and their impact on electrical grids and energy systems. The book is divided into three parts that include load modeling, integration and optimization, and environmental evaluation. Theoretical background and practical examples accompany each section and the authors include helpful tips and hints in the load modeling and optimization sections. This book is intended to be a useful tool for undergraduate and graduate students, researchers and engineers who are trying to solve power and engineering problems related electric vehicles. Provides optimization techniques and their applications for energy systems; Discusses the economic and environmental perspectives of electric vehicles; Contains the most comprehensive information about electric vehicles in a single source. From the Back Cover This book discusses the technical, economic, and environmental aspects of electric vehicles and their impact on electrical grids and energy systems. The book is divided into three parts that include load modeling, integration and optimization, and environmental evaluation. Theoretical background and practical examples accompany each section and the authors include helpful tips and hints in the load modeling and optimization sections. This book is intended to be a useful tool for undergraduate and graduate students, researchers and engineers who are trying to solve power and engineering problems related electric vehicles. Provides optimization techniques and their applications for energy systems; Discusses the economic and environmental perspectives of electric vehicles; Contains the most comprehensive information about electric vehicles in a single source. About the Author Ali Ahmadian received his MSc. and PhD. Degrees from K. N. Toosi University of Technology, Tehran, Iran, in 2012 and 2017, respectively. During his PhD, he was also a visiting scholar at the University of Waterloo from 2015 to 2016. He is currently an assistant professor with the department of electrical engineering, University of Bonab, Bonab, Iran. He has published more than 40 papers in journals and conference proceedings. His research interests include: transportation electrification, energy storage, and environmental modeling in energy system studies. Behnam Mohammadi-ivatloo received the B.Sc. degree in electrical engineering from the University of Tabriz, Tabriz, Iran, in 2006, and the M.Sc. and Ph.D. degrees in power engineering from the Sharif University of Technology, Tehran, Iran, in 2008 and 2012, respectively. He is currently an Associate Professor with the University of Tabriz. His main research interests cuts across the following themes: energy efficiency, smart grids, and optimization techniques. Ali Elkamel is a Professor of Chemical Engineering. He is also cross appointed in Systems Design Engineering. Prof. Elkamel holds a BSc in Chemical Engineering and BSc in Mathematics from Colorado School of Mines, MS in Chemical Engineering from the University of Colorado-Boulder, and PhD in Chemical Engineering from Purdue University – West Lafayette, Indiana. His specific research interests are in computer-aided modelling, optimization and simulation with applications to energy production planning, carbon management, sustainable operations and product design. Professor Elkamel is currently focusing on research projects related to gas production and processing, integration of renewable energy in oil and gas operations, and the utilization of data analytics (Digitalization), machine learning, and Artificial Intelligence (AI) to improve process and enterprise-wide efficiency and profitability. Prof. Elkamel activities include supervising post doctorate and research associates, advising graduate/undergraduate students and participation in both university and professional societal activities. Professor Elkamel is also engag

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
21 January 2020
Listed Since
01 October 2019

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No barcode data available

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