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Experimental Investigation of Soiling and Temperature Impact on PV Power Degradation: North East-Iraq as A Case Study

The main objectives of this study are to assess the degradation of power, voltage and current for photovoltaic (PV) modules in predicting temperature and soiling based on five-month measurements. This study aimed to present simple experimental models for estimating the temperature and effects of dust on PV power generation. Results demonstrated that soiling short-circuit current loss underestimates the real soiling power loss by approximately 8%, and this value rises with the increase in dust density. The soiling rate during the week of dust deposition was 0.3% per day and during the final week was 0.15% per day. Results indicate that the polynomial model from the second degree is more accurate than the linear and power models for evaluating the influence of dust on PV systems in the case study. The results suggest that such analysis is required to arrive at a realistic estimation of the best cleaning time in PV power plants.
Solar energy,, Module power degradation, Mechanics of engineering. Applied mechanics, Environmental engineering, TA213-215, TA349-359, TA170-171, TK1-9971, Engineering machinery, tools, and implements, Chemical engineering, TP155-156, Photovoltaic cell temperature,, Electrical engineering. Electronics. Nuclear engineering, Soiling effect,
Solar energy,, Module power degradation, Mechanics of engineering. Applied mechanics, Environmental engineering, TA213-215, TA349-359, TA170-171, TK1-9971, Engineering machinery, tools, and implements, Chemical engineering, TP155-156, Photovoltaic cell temperature,, Electrical engineering. Electronics. Nuclear engineering, Soiling effect,
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
