Abstract
Energy is a vital necessity that ensures the continuity of life. It is also important to ensure the existence and continuity of the energy. Solar is the most important source of energy among renewable energy sources that are being developed as an alternative to fossil fuels that are consuming. This study develops models for the evaluation of solar energy systems and allows calculation of radiation values in the sloped surface for isotropic and anisotropic sky conditions. In literature, the effects of extraterrestrial, atmospheric, and terrestrial uncertainties are usually ignored. In the proposed fuzzy models, these uncertainties inherit in the solar energy production capacity are considered. These newly developed isotropic and anisotropic fuzzy models help to determine the most appropriate solar energy system by providing more realistic calculations.
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Coban, V., Onar, S.C. (2019). Comparison of Isotropic and Anisotropic Models for Solar Radiation on Sloped Surfaces Under Fuzzy Logic. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_2
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DOI: https://doi.org/10.1007/978-3-030-03317-0_2
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