dc.contributor.authorHesse, Holger C.
dc.contributor.authorKumtepeli, Volkan
dc.contributor.authorSchimpe, Michael
dc.contributor.authorReniers, Jorn
dc.contributor.authorHowey, David
dc.contributor.authorTripathi, Anshuman
dc.contributor.authorWang, Youyi
dc.contributor.authorJossen, Andreas
dc.date.accessioned2019-06-21T07:50:34Z
dc.date.available2019-06-21T07:50:34Z
dc.date.issued2019
dc.identifier.citationHesse, H. C., Kumtepeli, V., Schimpe, M., Reniers, J., Howey, D., Tripathi, A., . . . Jossen, A. (2019). Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming. Energies, 12(6), 999-. doi:10.3390/en12060999en_US
dc.identifier.issn1996-1073en_US
dc.identifier.urihttp://hdl.handle.net/10220/48911
dc.description.abstractTo achieve maximum profit by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the profit will be lowered by costs resulting from energy efficiency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efficient implementation of a mixed-integer linear programming method, with a cost function that includes variable-energy conversion losses and a cycle-induced battery capacity fade. The parametrisation of these non-linear functions is backed by in-house laboratory tests. A detailed analysis of the proposed methods is given through case studies of different cost-inclusion scenarios, as well as battery investment-cost scenarios. An evaluation with a sample intraday market data set, collected throughout 2017 in Germany, offers a potential monthly revenue of up to 8762 EUR/MWh cap installed capacity, without accounting for the costs attributed to energy losses and battery degradation. While this is slightly above the revenue attainable in a reference application—namely, primary frequency regulation for the same sample month (7716 EUR/MWh cap installed capacity)—the situation changes if costs are considered: The optimisation reveals that losses in battery ageing and efficiency reduce the attainable profit by up to 36% for the most profitable arbitrage use case considered herein. The findings underline the significance of considering both ageing and efficiency in battery system dispatch optimisation.en_US
dc.format.extent28 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesEnergiesen_US
dc.rights© 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/).en_US
dc.subjectEfficiencyen_US
dc.subjectStorageen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleAgeing and efficiency aware battery dispatch for arbitrage markets using mixed integer linear programmingen_US
dc.typeJournal Article
dc.contributor.researchEnergy Research Institute @NTUen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en_US
dc.identifier.doihttp://dx.doi.org/10.3390/en12060999
dc.description.versionPublished versionen_US


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