On the effect of geographical, topographic and climatic conditions on feed-in tariff optimization for solar photovoltaic electricity generation: A case study in Iran

Hamzeh Karimi Firozjaei, Mohammad Karimi Firozjaei, Omid Nematollahi, Majid Kiavarz and Seyed Kazem Alavipanah

Renewable Energy, 2020, vol. 153, issue C, 430-439

Abstract: One of the important factors of sustainable development is renewable energies penetration in the energy systems. The present study evaluates the optimum feed-in tariff of photovoltaic electricity production based on the available downward solar radiation potential of each province of Iran while this potential calculated considering geographical, topographic and climatic conditions. For downward solar radiation modeling a set of mathematical, geometric and spatial models were used. Also, the net present value model was applied for evaluates the optimum feed-in tariff of photovoltaic electricity production. The results showed that downward solar radiation potential varies from 380 to 578 W m−2 across the Iran country. Furthermore, the optimal photovoltaic electricity generated feed-in tariff varies from 0.0835 to 0.1272 United States dollar for a different region in the country. Based on government approved feed-in tariff and the current study the provinces of Ardebil and Kohkiluyeh and Boyer-Ahmad are the riskiest and the securest regions for investors in case of photovoltaic project, respectively.

Keywords: Solar radiation; Feed-in tariff; Net present value; Photovoltaic; Iran (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:153:y:2020:i:c:p:430-439

DOI: 10.1016/j.renene.2020.01.127

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