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A modular framework for optimizing g...

Pelzer, Dominik.

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A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids

Record Type:	Electronic resources : Monograph/item
Title/Author:	A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids/ by Dominik Pelzer.
Author:	Pelzer, Dominik.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2019.,
Description:	xxiii, 206 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Smart power grids. -
Online resource:	https://doi.org/10.1007/978-3-658-27024-7
ISBN:	9783658270247

A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids
Pelzer, Dominik.

A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids[electronic resource] /by Dominik Pelzer. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - xxiii, 206 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783658270247

Standard No.: 10.1007/978-3-658-27024-7doiSubjects--Topical Terms:

1567050
Smart power grids.

LC Class. No.: TK3105 / .P45 2019

Dewey Class. No.: 621.3126

A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids
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245 1 2 $a A modular framework for optimizing grid integration of mobile and stationary energy storage in smart grids $h [electronic resource] / $c by Dominik Pelzer.
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300 $a xxiii, 206 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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