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Comparison of Performance-Assessment Methods for Residential PV Battery Systems

Author

Listed:
  • Fabian Niedermeyer

    (Fraunhofer Institute for Energy Economics and Energy System Technology, Koenigstor 59, 34119 Kassel, Germany)

  • Martin Braun

    (Fraunhofer Institute for Energy Economics and Energy System Technology, Koenigstor 59, 34119 Kassel, Germany
    Energy Management and Power System Operation (e2n), University of Kassel, Wilhelmshoeher Allee 73, 34121 Kassel, Germany)

Abstract

Declining costs for high-performance batteries are leading to a global increased use of storage systems in residential buildings. Especially in conjunction with reduced photovoltaic (PV) feed-in tariffs, a large market has been developed for PV battery systems to increase self-sufficiency. They differ in the type of coupling between PV and battery, the nominal capacities of their components, and their degree of integration. High system performance is particularly important to achieve profitability for the operator. This paper presents and evaluates methods for a uniform determination of PV battery system performance. Already the requirement analysis reveals that a performance comparison of PV battery systems must cover the efficiency and effectiveness during system operation. A method based on a derivation of key performance indicators (KPIs) for these two criteria through an application test is proposed. It is evaluated by comparison to other methods, such as the System Performance Index (SPI) and aggregation of conversion and storage efficiency. These methods are applied with five systems in a laboratory test bench to identify their advantages and drawbacks. Here, a particular focus is on compliance with the initially formulated requirements in terms of both test procedures and KPI derivations. Analysis revealed that the proposed method addresses these requirements well, and is beneficial in terms of result comprehensibility and KPI validity.

Suggested Citation

  • Fabian Niedermeyer & Martin Braun, 2020. "Comparison of Performance-Assessment Methods for Residential PV Battery Systems," Energies, MDPI, vol. 13(21), pages 1-34, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5529-:d:433115
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    References listed on IDEAS

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    1. Ram, J. Prasanth & Manghani, Himanshu & Pillai, Dhanup S. & Babu, T. Sudhakar & Miyatake, Masafumi & Rajasekar, N., 2018. "Analysis on solar PV emulators: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 149-160.
    2. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
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    1. Ludwik Wicki & Robert Pietrzykowski & Dariusz Kusz, 2022. "Factors Determining the Development of Prosumer Photovoltaic Installations in Poland," Energies, MDPI, vol. 15(16), pages 1-19, August.

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