Optimized cold storage energy management: Miami and Los Angeles case study

Sebastian Thiem, Alexander Born, Vladimir Danov, Jochen Schäfer, Thomas Hamacher

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Smart management of cold thermal energy storages could help future sustainable energy systems drawing large shares of electricity from renewable sources to balance fluctuating generation. This paper introduces a model-based predictive control strategy for cold thermal energy storages. A novel ice storage model for simulating and optimizing partial charge and discharge storage operation is developed and validated. The optimization problem is solved using a Forward Dynamic Programming approach. A case study analysis for a very hot and humid location (Miami) and a rather temperate climate (Los Angeles) and for each four building types (apartment building, hospital, office, and school) reveals that total cost savings of up to 20% compared to conventional control strategies are possible.

OriginalspracheEnglisch
TitelSMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems
Redakteure/-innenCornel Klein, Brian Donnellan, Markus Helfert
Herausgeber (Verlag)SciTePress
Seiten271-278
Seitenumfang8
ISBN (elektronisch)9789897581847
DOIs
PublikationsstatusVeröffentlicht - 2016
Veranstaltung5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016 - Rome, Italien
Dauer: 23 Apr. 201625 Apr. 2016

Publikationsreihe

NameSMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems

Konferenz

Konferenz5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016
Land/GebietItalien
OrtRome
Zeitraum23/04/1625/04/16

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