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Technical Performance Prediction and Employment Potential of Solar PV Systems in Cold Countries

Author

Listed:
  • Ephraim Bonah Agyekum

    (Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, 620002 Ekaterinburg, Russia)

  • Usman Mehmood

    (Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Centre for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan
    Department of Political Science, University of Management and Technology, Lahore 54770, Pakistan)

  • Salah Kamel

    (Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Mokhtar Shouran

    (Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Elmazeg Elgamli

    (Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Tomiwa Sunday Adebayo

    (Department of Business Administration, Faculty of Economics and Administrative Science, Cyprus International University, Nicosia 99040, Turkey
    Department of Finance & Accounting, AKFA University, Tashkent 100012, Uzbekistan)

Abstract

Power distribution to decentralized and remote communities secluded from centralized grid connections has always been a problem for utilities and governments worldwide. This situation is even more critical for the isolated communities in Russia due to the vast nature of the country. Therefore, the Russian government is formulating and implementing several strategies to develop its renewable energy sector. However, very little information is available on the possible performance of solar photovoltaic (PV) modules under Russian weather conditions for all year round. Thus, this study has been designed to fill that research gap by assessing the performance ratio ( PR ), degradation, energy loss prediction, and employment potential of PV modules in the Sverdlovsk region of Russia using the PVsyst simulation model. A side-by-side comparison of the fixed tilted plane and tracking horizontal axis East–West were analyzed. According to the results, the annual production probability (P) for the fixed PV module for a P50, P75, and P90 is 39.68 MWh, 37.72 MWh, and 35.94 MWh, respectively, with a variability of 2.91 MWh. In the case of the tracking PV module, the annual production probability for the P50, P75, and P90 is 43.18 MWh, 41.05 MWh, and 39.12 MWh, respectively, with a variability of 3.17 MWh. A PR of 82.3% and 82.6% is obtained for the fixed and tracking systems, respectively, while the PV array losses for the fixed and tracking orientations are 15.1% and 14.9%, respectively. The months of May to August recorded the highest array losses due to the high temperatures that are usually recorded within that period.

Suggested Citation

  • Ephraim Bonah Agyekum & Usman Mehmood & Salah Kamel & Mokhtar Shouran & Elmazeg Elgamli & Tomiwa Sunday Adebayo, 2022. "Technical Performance Prediction and Employment Potential of Solar PV Systems in Cold Countries," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3546-:d:773455
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    References listed on IDEAS

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