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Название: Technical Performance Prediction and Employment Potential of Solar PV Systems in Cold Countries—A Case Study of the Sverdlovsk Region of Russia
Авторы: Agyekum, E. B.
Mehmood, U.
Kamel, S.
Shouran, M.
Elgamli, E.
Adebayo, T. S.
Дата публикации: 2022
Издатель: MDPI
Библиографическое описание: Technical Performance Prediction and Employment Potential of Solar PV Systems in Cold Countries—A Case Study of the Sverdlovsk Region of Russia / E. B. Agyekum, U. Mehmood, S. Kamel et al. // Sustainability (Switzerland). — 2022. — Vol. 14. — Iss. 6. — 3546.
Аннотация: 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Ключевые слова: DEGRADATION RATE
ENERGY LOSS PREDICTION
PVSYST SOFTWARE
RENEWABLE ENERGY
SOLAR PHOTOVOLTAIC ENERGY
ALTERNATIVE ENERGY
EMPLOYMENT
GOVERNMENT
PHOTOVOLTAIC SYSTEM
SIMULATION
SOLAR POWER
TRACKING
RUSSIAN FEDERATION
SVERDLOVSK
URI: http://elar.urfu.ru/handle/10995/117803
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85126991900
Идентификатор WOS: 000774237900001
Идентификатор PURE: 29928133
ISSN: 20711050
DOI: 10.3390/su14063546
Сведения о поддержке: Taif University, TU: TURSP-2020/61
This research was funded by Taif University Researchers Supporting Project number (TURSP-2020/61), Taif University, Taif, Saudi Arabia. The authors would like to thank Cardiff University/School of Engineering for accepting to pay the APC toward publishing this paper. In addition, the authors would like to acknowledge the financial support received from Taif University Researchers Supporting Project Number (TURSP-2020/61), Taif University, Taif, Saudi Arabia.
Funding: This research was funded by Taif University Researchers Supporting Project number (TURSP-2020/61), Taif University, Taif, Saudi Arabia.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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