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Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data

Author

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  • Sofiane Kichou

    (University Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech Republic)

  • Nikolaos Skandalos

    (University Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech Republic)

  • Petr Wolf

    (University Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech Republic)

Abstract

This paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage system (BESS) systems on the overlap between generation and demand. Different PV array configurations and battery storage capacities were considered. Detailed solar analysis was carried out to analyze the solar potential of the building and to assess the PV electricity production. The evaluation of the building performance was done through MATLAB simulations based on one-year monitored data. The simulation results were used for the calculation of the load matching indices: namely, the self-consumption and self-sufficiency. It was found that optimized array tilt and orientation angles can effectively contribute to a better adjustment between electricity demand and solar PV generation. The addition of a façade PV system increases significantly the PV generation and thus the load matching during winter months. Mismatch is further reduced by using the energy flexibility provided by the BESS. Depending on the PV size and BESS capacity, the self-consumption and the self-sufficiency of the building could increase from 55% to 100% and from 24% up to 68%, respectively.

Suggested Citation

  • Sofiane Kichou & Nikolaos Skandalos & Petr Wolf, 2020. "Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data," Energies, MDPI, vol. 13(11), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2727-:d:364335
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    Cited by:

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    3. Jacek Kasperski & Anna Bać & Oluwafunmilola Oladipo, 2023. "A Simulation of a Sustainable Plus-Energy House in Poland Equipped with a Photovoltaic Powered Seasonal Thermal Storage System," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
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    5. Angela Amato & Matteo Bilardo & Enrico Fabrizio & Valentina Serra & Filippo Spertino, 2021. "Energy Evaluation of a PV-Based Test Facility for Assessing Future Self-Sufficient Buildings," Energies, MDPI, vol. 14(2), pages 1-23, January.
    6. Farhad Anvari-Azar & Dani Strickland & Neil Filkin & Harry Townshend, 2020. "Net Present Value Analysis of a Hybrid Gas Engine-Energy Storage System in the Balancing Mechanism," Energies, MDPI, vol. 13(15), pages 1-24, July.
    7. Kang, Hyuna & Jung, Seunghoon & Lee, Minhyun & Hong, Taehoon, 2022. "How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).

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