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Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices

Author

Listed:
  • Antans Sauhats

    (Institute of Power Engineering, Riga Technical University (RTU), LV-1658 Riga, Latvia)

  • Laila Zemite

    (Institute of Power Engineering, Riga Technical University (RTU), LV-1658 Riga, Latvia)

  • Lubov Petrichenko

    (Institute of Power Engineering, Riga Technical University (RTU), LV-1658 Riga, Latvia)

  • Igor Moshkin

    (Institute of Power Engineering, Riga Technical University (RTU), LV-1658 Riga, Latvia)

  • Aivo Jasevics

    (Institute of Power Engineering, Riga Technical University (RTU), LV-1658 Riga, Latvia)

Abstract

This article analyses the influence of supporting scheme variants on the profitability of a projected investment of residential photovoltaic systems. The focus of the paper lies in evaluating the feasibility for the power system of solar power generation technologies to achieve a balance between energy generation and support costs in a more efficient way. The case study is based on a year-long time series of examples with an hourly resolution of electricity prices from the Nord Pool power market, in addition to the power demand and solar generation of Latvian prosumers. Electric energy generation and the consumption of big data from more than 100 clients were collected. Based on these data, we predict the processes for the next 25 years, and we estimate economic indicators using a detailed description of the net metering billing system and the Monte-Carlo method. A recommendation to change the current net system to a superior one, taking into account the market cost of energy, concludes the paper.

Suggested Citation

  • Antans Sauhats & Laila Zemite & Lubov Petrichenko & Igor Moshkin & Aivo Jasevics, 2018. "Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices," Energies, MDPI, vol. 11(11), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3222-:d:184260
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    References listed on IDEAS

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    Cited by:

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    2. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    3. Illia Diahovchenko & Lubov Petrichenko, 2022. "Comparative Analysis of Power Distribution Systems with Individual Prosumers Owing Photovoltaic Installations and Solar Energy Communities in Terms of Profitability and Hosting Capacity," Energies, MDPI, vol. 15(23), pages 1-20, November.
    4. Gregorio Fernández & Alejandro Martínez & Noemí Galán & Javier Ballestín-Fuertes & Jesús Muñoz-Cruzado-Alba & Pablo López & Simon Stukelj & Eleni Daridou & Alessio Rezzonico & Dimosthenis Ioannidis, 2021. "Optimal D-STATCOM Placement Tool for Low Voltage Grids," Energies, MDPI, vol. 14(14), pages 1-31, July.
    5. Xintao Li & Xue’er Xu & Diyi Liu & Mengqiao Han & Siqi Li, 2022. "Consumers’ Willingness to Pay for the Solar Photovoltaic System in the Post-Subsidy Era: A Comparative Analysis under an Urban-Rural Divide," Energies, MDPI, vol. 15(23), pages 1-22, November.
    6. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
    7. Gregorio Fernández & Noemi Galan & Daniel Marquina & Diego Martínez & Alberto Sanchez & Pablo López & Hans Bludszuweit & Jorge Rueda, 2020. "Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids," Energies, MDPI, vol. 13(17), pages 1-27, August.

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