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Technical and Economical Feasibility of the Proposed Assiut University Rooftop PhotoVoltaic Installation

机译:拟议的Assiut大学屋顶光伏安装技术和经济可行性

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Rooftop PhotoVoltaic (PV) systems recently gain more focus due to size/power variability and environmental compatibility. This article advises a rooftop PV system for partially/fully fulfilling the load requirements of Assiut University main campus. The economical and technical viability of the proposed system are comprehensively investigated. Moreover, different configurations are examined while the focus was on the system cost, reliability and security. The sizing is carried out as constrained optimization problem. Particle swarm optimization was used to determine the optimal number of the proposed PV modules. The sizing procedure considered the expansion of the Assiut University power system until 2025. Therefore, robust and fairly accurate medium-term and long-term load forecasting models were used to identify the monthly/annually load values during 2019-2025. Load forecasting models and the sizing of the proposed PV system were coded in Matlab. Moreover, the results from the sizing were comprehensively validated via the comparison with reliable and robust sizing softwares as PVGIS and PVsyst. The results showed that there is albeit economical feasibility of the proposed rooftop PV system. Moreover, PSO produced better sizing than the softwares, while confining with the site structural and supply security constraints.
机译:屋顶光伏(PV)系统最近由于尺寸/功率变化和环境兼容性而获得更多焦点。本文建议屋顶光伏系统部分/完全满足Assiut大学主校园的负载要求。拟议系统的经济和技术可行性全面调查。此外,检查了不同的配置,而重点是在系统成本,可靠性和安全性上。该尺寸被按照约束优化问题进行。粒子群优化用于确定所提出的PV模块的最佳数量。该规定程序被认为是Assiut大学电力系统的扩展,直到2025年。因此,使用稳健和相当准确的中期和长期负荷预测模型来识别2019 - 2012年期间的月度/每年负载值。负载预测模型和所提出的PV系统的尺寸在Matlab中编码。此外,通过与PVGIS和PVSYST的可靠和稳健的尺寸软件的比较,通过比较全面验证了尺寸的结果。结果表明,建议屋顶光伏系统的经济可行性虽然有虽然是经济的可行性。此外,PSO生产比软件更好的尺寸,同时与现场结构和供应安全约束限制。

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