A Modular Framework for Optimizing Grid Integration of Mobile and Stationary Energy Storage in Smart Grids

Dominik Pelzer presents a framework for investigating and optimizing the profitability of energy storage systems. The author deploys the methodology to assess the benefits of electric vehicle smart charging and to investigate the financial viability of arbitrage using battery energy storage systems....

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Bibliographic Details
Main Author: Pelzer, Dominik (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2019.
Edition:1st ed. 2019.
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:Dominik Pelzer presents a framework for investigating and optimizing the profitability of energy storage systems. The author deploys the methodology to assess the benefits of electric vehicle smart charging and to investigate the financial viability of arbitrage using battery energy storage systems. He evaluates the factors influencing profitability and identifies conditions for profitable operation. Due to the framework's modular design, these considerations can be extended to a large variety of storage technologies and scenarios to identify optimal operating parameters. Contents Smart Grids, Electricity Markets, Energy Storage and Electric Vehicles Scheduling and Simulation Framework Approach for Scheduling of Energy Storage Systems Assessment of the Economic Viability of Battery Energy Storage Systems Target Groups Researchers and students in the fields of energy engineering, electrical engineering and computer science Practitioners in the fields of energy storage systems, energy engineering and electric vehicles The Author Dominik Pelzer obtained his doctoral degree from Technical University of Munich (TUM)/Germany through research conducted at the Campus for Research Excellence and Technological Enterprise (CREATE) in Singapore. His research areas include modeling of complex systems with a focus on energy systems, energy storage and urban transportation infrastructures.
Physical Description:XXIII, 206 p. 30 illus. online resource.
ISBN:9783658270247
DOI:10.1007/978-3-658-27024-7