Application of Genetic Algorithm to Solar Panel Efficiency; A Case Study of Port-Harcourt Metropolis

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dc.contributor.authorUhunmwangho, Roland
dc.contributor.authorLeesi, Berebon Victor
dc.contributor.authorBig-Alabo, Ameze
dc.date.accessioned2018-12-12T07:12:31Z
dc.date.available2018-12-12T07:12:31Z
dc.date.issued2018-06-26
dc.description.abstractThis study focuses on the evaluation of solar panel efficiency used within Port Harcourt environment. A major factor affecting the efficiency of solar panels is the difference in region or weather and the ability of the solar panel to convert incident radiation into electrical energy. Solar panels have varying efficiency levels under different weather conditions. Most times solar panels fall short of expected efficiencies. It is therefore important to have adequate knowledge of the performance characteristics of a panel under specific weather to ensure maximum output. For this research work, the panel evaluated is a 125W Polycrystalline solar panel made of Gallium Arsenide. The efficiency of the panel is calculated and recorded. The weather data for Port-Harcourt is collected from the center for data collation Rivers State University. The peak radiation value obtained from the weather data for the year under consideration is used to evaluate the efficiency and Genetic Algorithm is used to determine the optimal parameter of the cells making up the panel to obtain an optimized cell to improve the efficiency of the panel. To do this the cell initial properties is extracted and tabulated genetic algorithm is then used to improve this properties achieving better efficiency in the process.en_US
dc.identifier.issn2149-0104
dc.identifier.issn2149-5262
dc.identifier.urihttps://hdl.handle.net/11363/575
dc.language.isoenen_US
dc.publisherİstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Pressen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Yayınıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleApplication of Genetic Algorithm to Solar Panel Efficiency; A Case Study of Port-Harcourt Metropolisen_US
dc.typeArticleen_US

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IJET Vol. 4, Issue 2, June 2018