Optimizing energy cost via battery sizing in residential PV/battery systems

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

17 Sitaatiot (Scopus)

Abstrakti

Application of renewable sources of energy is vital for the mankind due to global warming. Residential buildings consume major portion of electricity. Therefore, a grid-connected photovoltaic system of domestic level with battery storage backup (PV/storage system) is addressed in this article. This system has a significant effect on decreasing energy costs and contributes to meet the requirements of a nearly net-zero energy building. In this article, Mixed Integer Linear Programming (MILP) is applied to optimize the energy cost of a single-family house with battery energy storage for four different scenarios of installing solar panels. Optimization is performed on monthly scale for a house in Helsinki, Finland. The numerical results indicate that it is reasonable to integrate a storage in grid-connected PV systems in residential applications and represent the impact of battery size on household's monthly energy cost.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
KustantajaIEEE
ISBN (painettu)9781509012374
DOI - pysyväislinkit
TilaJulkaistu - marrask. 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE PES Conference on Innovative Smart Grid Technologies Asia - Bangkok, Thaimaa
Kesto: 3 marrask. 20156 marrask. 2015

Conference

ConferenceIEEE PES Conference on Innovative Smart Grid Technologies Asia
LyhennettäISGT ASIA
Maa/AlueThaimaa
KaupunkiBangkok
Ajanjakso03/11/201506/11/2015

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