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Wind and solar PV technical potentials: Measurement methodology and assessments for Russia

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  • Ermolenko, Boris V.
  • Ermolenko, Georgy V.
  • Fetisova, Yulia A.
  • Proskuryakova, Liliana N.

Abstract

Lack of reliable data often prevents new private investments in renewable energy and government programs in this sphere. The paper offers a novel renewable energy resources system of potentials: energy, resource saving and environmental; better designed and more accurate methods for calculating the future exploitable technical potentials of wind and solar PV energy for a wide range of generating equipment in centralized and distributed power systems, taking into account existing social and environmental limitations. The paper also presents the latest assessments of these potentials for Russia and its 85 regions (in terms of fossil fuel saving and substitution, power and heat production and environmental effects), offering solutions to overcome methodological limitations of previous country-level assessments, such as incomplete or unreliable sources, absence of hourly, daily and monthly assessments, etc. Given the limitations of existing network of national meteorological stations and satellite monitoring systems it was decided to use NASA SSE database as a source of meteorological information. The methodology was validated through a comparative analysis of the data obtained in the course of this study and the data of wind monitoring campaign carried out by a German engineering company in one Russia's region for 18 months using 70 m masts.

Suggested Citation

  • Ermolenko, Boris V. & Ermolenko, Georgy V. & Fetisova, Yulia A. & Proskuryakova, Liliana N., 2017. "Wind and solar PV technical potentials: Measurement methodology and assessments for Russia," Energy, Elsevier, vol. 137(C), pages 1001-1012.
    • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:1001-1012
    DOI: 10.1016/j.energy.2017.02.050
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    4. Proskuryakova, Liliana N. & Ermolenko, Georgy V., 2019. "The future of Russia’s renewable energy sector: Trends, scenarios and policies," Renewable Energy, Elsevier, vol. 143(C), pages 1670-1686.
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    7. Li, Xuehua & Chen, Yunhao & Li, Kangning & Liu, Xiuyu & Gao, Shengjun & Ji, Weizhen & Cui, Ying, 2024. "Generating station-like downward shortwave radiation data by using sky condition-guided model based on ERA5-Land data," Energy, Elsevier, vol. 306(C).
    8. Victoria I. Bushukina, 2021. "Specific Features of Renewable Energy Development in the World and Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 93-107, October.
    9. Gilbert Ahamer, 2018. "Applying Global Databases to Foresight for Energy and Land Use: The GCDB Method," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(4), pages 46-61.
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    13. He, Yi & Guo, Su & Zhou, Jianxu & Wu, Feng & Huang, Jing & Pei, Huanjin, 2021. "The many-objective optimal design of renewable energy cogeneration system," Energy, Elsevier, vol. 234(C).
    14. Belsky, A.A. & Glukhanich, D.Y. & Carrizosa, M.J. & Starshaia, V.V., 2022. "Analysis of specifications of solar photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Askar A. Akaev & Olga I. Davydova, 2021. "Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends," Energies, MDPI, vol. 14(24), pages 1-25, December.

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