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EN
Building solar plants with suitable placement in the correct geographic areas by utilizing information of solar radiation is the starting point of an investment projects of a solar energy facility. In these premises, several solar radiation models have been improved in order to estimate the solar radiation at a given location, all around the world. Complete and accurate solar radiation data at a specific region are quite important for the solar energy related researches. A number of formulas and models have been developed to estimate solar radiation for the locations, where measured values are not available. Thus, several empirical correlations have been developed in the literature. In this study, models such as the Angström equation, which is reviewed in literature, are used to estimate global solar radiation from sunshine duration in Turkey. In addition, the solar radiation models were examined at the identified solar radiation regions. This study investigates either the correctness of the model itself or the correctness of the estimation of global solar radiation, based on a set of statistical parameters such as R², RMSE, MBE, MABE, MPE and MAPE.
EN
This paper presents an evaluation of the performance degradation of photovoltaic modules after twelve operation years in a steppe region environment in Algeria. The objective is to understand the different degradation modes of the photovoltaic modules and associated factors and their impact on the electrical properties (V_{oc}, I_{sc}, V_{max}, I_{max}, P_{max} and FF) using the degradation tests of IEC 61215 qualification standard and the electroluminescence test. The experimental results show that yearly degradation rates of the maximum power output P_{max} present the highest possible loss, ranging from 2.08% to 5.2%. Additionally, the results show that the short-circuit current I_{sc} comes second with yearly degradation rates spanning from 2.75% to 2.84%. Finally the open-circuit voltage V_{oc} is the least affected, with yearly degradation occurring from 0.01% to 4.25%.
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