Residential Battery Energy Storage Sizing and Profitability in the Presence of PV and EV

Ahmed A.Raouf Mohamed, Robert Best, Xueqin Amy Liu, D John Morrow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
378 Downloads (Pure)


Residential battery energy storage systems (BESS) are having an important role in transitioning towards low carbon communities. However, BESS capital cost remains questionable. In this work, an optimization-based BESS sizing algorithm is developed to maximize the customer’s profitability by minimizing the electricity import for 162 combinations of demand, solar photovoltaic (PV) and electric vehicle (EV). The sizing algorithm results are utilized in introducing empirical formulas that ease the determination of the near-optimal BESS capacity. The annual savings are quantified for various cases under different tariff rates and the BESS viability is investigated for new installations over the next 10 years. The results show that the residential BESS can be profitable in the UK starting from 2024 without any subsidy for the time of use tariffs.
Original languageEnglish
Title of host publication2021 IEEE Madrid PowerTech: Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1-6654-3597-0
Publication statusPublished - 29 Jul 2021
EventIEEE PowerTech - Madrid
Duration: 28 Jun 202102 Jul 2021


ConferenceIEEE PowerTech


  • Battery energy storage systems
  • electric vehicles
  • photovoltaics
  • profitability analysis
  • scheduling


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