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Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context

Author

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  • Lucas Deotti

    (Department of Electrical Energy, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-330, Brazil)

  • Wanessa Guedes

    (Department of Electrical Energy, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-330, Brazil)

  • Bruno Dias

    (Department of Electrical Energy, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-330, Brazil)

  • Tiago Soares

    (Centre for Power and Energy Systems, Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), 4200-465 Porto, Portugal)

Abstract

This paper presents a comprehensive study of the technical and economic benefits that a typical residential prosumer may experience when investing in a solar photovoltaic (PV) system with a battery energy storage system (BESS). To this end, a home energy management system has been designed to simulate the prosumer’s daily operation, considering a novel method for calculating battery degradation while minimizing its operating costs. In order to contribute to the regulatory review process of the distributed generation underway in Brazil, a set of PV+BESS configurations has been assessed under the current and future regulatory scenarios proposed for discussion by the Brazilian regulatory agency. Although the results demonstrate that the prosumer’s self-consumption rate may increase up to 14% with the BESS coupling in the PV system, the investment proved to be economically unattractive in the current regulatory scenario and practically unfeasible in any of the proposed future scenarios. To make PV+BESS systems economically feasible, some business models are proposed and discussed, and for example, provide subsidies for policymakers, financial agents, and battery manufacturers. A sensitivity analysis for each business model showing its economic feasibility spectrum is provided to assist the different sector players, especially the consumers, in their decision-making process.

Suggested Citation

  • Lucas Deotti & Wanessa Guedes & Bruno Dias & Tiago Soares, 2020. "Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context," Energies, MDPI, vol. 13(24), pages 1-30, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6517-:d:459797
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    Cited by:

    1. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    2. Pablo Carrasco Ortega & Pablo Durán Gómez & Julio César Mérida Sánchez & Fernando Echevarría Camarero & Ángel Á. Pardiñas, 2023. "Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review," Energies, MDPI, vol. 16(17), pages 1-51, August.
    3. Lucas V. Bellinaso & Edivan L. Carvalho & Rafael Cardoso & Leandro Michels, 2021. "Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling," Energies, MDPI, vol. 14(6), pages 1-19, March.
    4. Daniel Kitamura & Leonardo Willer & Bruno Dias & Tiago Soares, 2023. "Risk-Averse Stochastic Programming for Planning Hybrid Electrical Energy Systems: A Brazilian Case," Energies, MDPI, vol. 16(3), pages 1-16, February.
    5. de Doile, Gabriel Nasser Doyle & Rotella Junior, Paulo & Rocha, Luiz Célio Souza & Janda, Karel & Aquila, Giancarlo & Peruchi, Rogério Santana & Balestrassi, Pedro Paulo, 2022. "Feasibility of hybrid wind and photovoltaic distributed generation and battery energy storage systems under techno-economic regulation," Renewable Energy, Elsevier, vol. 195(C), pages 1310-1323.
    6. Wanessa Guedes & Lucas Deotti & Bruno Dias & Tiago Soares & Leonardo Willer de Oliveira, 2022. "Community Energy Markets with Battery Energy Storage Systems: A General Modeling with Applications," Energies, MDPI, vol. 15(20), pages 1-22, October.

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