Abstract
Currently, one of the most promising areas for the development of renewable energy is the creation of networked solar photovoltaic stations (SPVSs). The results of the design and simulation of SPVS operation affect the operational characteristics of the plant. The paper has considered the main stages of climate data preparation and simulation of the production of photovoltaic modules (PVMs), on the basis of which an algorithm for selecting the angle of installation of PVMs according to the criterion of maximum output has been developed. The result of the algorithm is a list of photoelectric modules with certain optimal values of the module installation angle and annual power generation.
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REFERENCES
Alagappana, R.C.L., What drives renewable energy development?, Energy Policy, 2011, vol. 39, no. 9, pp. 5099–5104.
Whiteman, A., Rueda, S., Akande, D., Elhassan, N., Escamilla, G., and Arkhipova, I., Renewable energy statistics 2020. www.irena.org/publications/2020/ Jul/Renewable-energy-statistics-2020. Accessed February 22, 2021.
Ministry of Energy of the Russian Federation. Main characteristics of the Russian electric power industry. https://minenergo.gov.ru/node/532. Accessed February 22, 2021.
Sampaio, P.G.V. and González, M.A.O., Photovoltaic solar energy: Conceptual framework, Renewable Sustainable Energy Rev., 2017, vol. 74, pp. 590–601.
Elistratov, V.V., Vozobnovlyaemaya energetika (Renewable Energy), St. Petersburg: Izd. Politekh. Univ., 2016.
Aronescu, A. and Appelbaum, J., Design optimization of photovoltaic solar fields-insight and methodology, Renewable Sustainable Energy Rev., 2017, vol. 76, pp. 882–893.
Notton, G., Lazarov, V., and Stoyanov, L., Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations, Renewable Energy, 2010, vol. 35, no. 2, pp. 541–554.
Mishra, S., Ziar, H., Isabella, O., and Zeman, M., Selection Map for PV Module Installation Based on Shading Tolerability and Temperature Coefficient, IEEE J. Photovoltaics, 2019, vol. 9, pp. 872–880.
Huang, K.-T., Identifying a suitable hourly solar diffuse fraction model to generate the typical meteorological year for building energy simulation application, Renewable Energy, 2020, vol. 157, pp. 1102–1115.
Gelaro, R., McCarty, W., Suárez, M.J., and Todling, R., The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), J. Climate, 2017, vol. 30, no. 14, pp. 5419–5454.
Gueymard, C.A. and Ruiz-Arias, J.A., Extensive worldwide validation and climate sensitivity analysis of direct irradiance predictions from 1-min global irradiance, Sol. Energy, 2016, vol. 128, pp. 1–30.
Chin, V.J., Salam, Z., and Ishaque, K., Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review, Appl. Energy, 2015, vol. 154, pp. 500–519.
Elistratov, V.V. and Ramadan, A., Evaluation of solar energy and selection of optimal tilt angle of solar panels for conditions in Syria, Altern. Energy Ecol. (ISJAEE), 2018, nos. 22–24 (270–272), pp. 12–27.
Elistratov, V.V. and Ramadan, A., Modeling the operating modes of a solar photovoltaic station with tracking the maximum power point, Energetik, 2019, no. 11, pp. 34–39.
Elistratov, V. and Ramadan, A., Techno-economic evaluation of a grid-connected solar PV plant in Syria, Appl. Sol. Energy, 2019, vol. 55, no. 3, pp. 174–188.
Yudaev, I.V., Managing spatial orientation of photovoltaic module for obtaining electric energy generation maximum at set time moment, Geliotekhnika, 2018, no. 5, pp. 9–17.
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Bobkov, V.A., Elistratov, V.V. Simulation of Photovoltaic Module Operation Modes and Tilt Angle Optimization According to the Criterion of Maximum Electricity Generation. Appl. Sol. Energy 57, 233–241 (2021). https://doi.org/10.3103/S0003701X21030038
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DOI: https://doi.org/10.3103/S0003701X21030038