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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Pelzer, Dominik (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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001 978-3-658-27024-7
003 DE-He213
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100 1 |a Pelzer, Dominik.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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. 
250 |a 1st ed. 2019. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Vieweg,  |c 2019. 
300 |a XXIII, 206 p. 30 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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. 
650 0 |a Energy storage. 
650 0 |a Transportation engineering. 
650 0 |a Traffic engineering. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Energy Storage.  |0 http://scigraph.springernature.com/things/product-market-codes/116000 
650 2 4 |a Transportation Technology and Traffic Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T23120 
650 2 4 |a Mathematical and Computational Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T11006 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783658270230 
776 0 8 |i Printed edition:  |z 9783658270254 
856 4 0 |u https://doi.org/10.1007/978-3-658-27024-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENE 
950 |a Energy (Springer-40367)