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dc.contributor.authorBerglund, Frida
dc.contributor.authorZaferanlouei, Salman
dc.contributor.authorKorpås, Magnus
dc.contributor.authorUhlen, Kjetil
dc.date.accessioned2019-11-25T11:42:09Z
dc.date.available2019-11-25T11:42:09Z
dc.date.created2019-11-22T11:39:19Z
dc.date.issued2019
dc.identifier.citationEnergies. 2019, 12 (23)nb_NO
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/11250/2630254
dc.description.abstractThe cost of peak power for end-users subject to a demand charge may be substantial, expecting to increase further with the vast growth of power-demanding devices. In cases where load-shifting is not a viable option for cost reduction, battery storage systems used for peak shaving purposes are emerging as a promising solution. In this paper, the economic benefits of implementing battery storage into an existing grid-connected photovoltaic system for a medium-scale swimming facility is studied. The objective is to minimize the total cost of electricity for the facility, including the cost of energy and peak power demand, while ensuring the longevity of the battery. An optimization model based on multi-integer linear programming is built, and simulated using a one-year time horizon in GAMS and Matlab. The main results reveal that installing a battery storage system is economically attractive today, with net savings on the total system cost of 0.64% yearly. The cost of peak power is reduced by 13.9%, and the savings from peak shaving operation alone is enough to compensate for the yearly cost of the battery. Moreover, the battery ensures additional revenue by performing price arbitrage operations. When simulating the system for an assumed 2030 scenario, the battery is found to be more profitable with a yearly net savings of 4.15%.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOptimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Studynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume12nb_NO
dc.source.journalEnergiesnb_NO
dc.source.issue23nb_NO
dc.identifier.doi10.3390/en12234450
dc.identifier.cristin1750912
dc.description.localcode© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode1


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