Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices
Antans Sauhats,
Laila Zemite,
Lubov Petrichenko,
Igor Moshkin and
Aivo Jasevics
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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
Energies, 2018, vol. 11, issue 11, 1-19
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.
Keywords: solar power; photovoltaic systems; distributed generation; support schemes; net metering systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:3222-:d:184260
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