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

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5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
PublisherIEEE
ISBN (Print)9781509012374
DOIs
Publication statusPublished - Nov 2015
MoE publication typeA4 Article in a conference publication
EventIEEE PES Conference on Innovative Smart Grid Technologies Asia - Bangkok, Thailand
Duration: 3 Nov 20156 Nov 2015

Conference

ConferenceIEEE PES Conference on Innovative Smart Grid Technologies Asia
Abbreviated titleISGT ASIA
CountryThailand
CityBangkok
Period03/11/201506/11/2015

Keywords

  • Electrical storage
  • energy cost
  • optimization
  • residential buildings
  • storage sizing

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  • Cite this

    Doroudchi, E., Pal, S. K., Lehtonen, M., & Kyyrä, J. (2015). Optimizing energy cost via battery sizing in residential PV/battery systems. In Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 [7387155] IEEE. https://doi.org/10.1109/ISGT-Asia.2015.7387155