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Impact of Battery Sizing on Self-Consumption, Self-Sufficiency and Peak Power Demand for a Low Energy Single-Family House with PV Production in Sweden
RISE - Research Institutes of Sweden (2017-2019), Built Environment, Energy and Circular Economy.ORCID iD: 0000-0001-6060-5624
RISE - Research Institutes of Sweden (2017-2019), Built Environment, Energy and Circular Economy.ORCID iD: 0000-0003-3652-4722
RISE - Research Institutes of Sweden (2017-2019), Built Environment, Energy and Circular Economy.ORCID iD: 0000-0001-8253-7490
Soliga Energi, Sweden.
2018 (English)In: 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 618-623Conference paper, Published paper (Refereed)
Abstract [en]

This paper simulates the impact of battery sizing for an actual nearly-zero energy (NZEB) single-family house with solar PV located in Boras, Sweden. Simulations are done,° using measurement data as an input, for three different battery dispatch algorithms with two different purposes; (i) peak power shaving and (ii) maximising system self-consumption (SC) and self-sufficiency (SS) of the solar PV. The results show that the optimal battery storage size for this single-family house, given its measured electrical loads and existing solar PV system is around 7.2 kWh. System self-consumption and self-sufficiency from generated solar PV increased with 24.3 percentage points compared to a reference case without battery. Furthermore, results show that increasing the battery size beyond 7.2 kWh only results in minor performance gains.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 618-623
Keywords [en]
battery sizing, dispatch algorithms, NZEB, optimisation, photovoltaic, self sufficiency, self-consumption, target zero, Digital storage, Energy conversion, Houses, Optimisations, Self- consumption, Electric batteries
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-37956DOI: 10.1109/PVSC.2018.8548275Scopus ID: 2-s2.0-85059917269ISBN: 9781538685297 (print)OAI: oai:DiVA.org:ri-37956DiVA, id: diva2:1306333
Conference
7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018, 10 June 2018 through 15 June 2018
Available from: 2019-04-23 Created: 2019-04-23 Last updated: 2023-06-02Bibliographically approved

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Ollas, PatrikPersson, JonMarkusson, Caroline

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