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Novel Degradation Diagnosis Algorithm for Solar Cell Modules by Taking into Account Electrical Characteristics and Ambient Factors

机译:考虑到电气特性和环境因子,新型劣化诊断太阳能电池模块的劣化诊断算法

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The Korean national policies have enforced to spread the RES (renewable energy sources) as one of the alternative solutions to solve the environmental pollution problems caused by global climate change. Under these circumstances, installations of solar cell systems are considered due to the global concern in eco-friendly and renewable solar energy sources. Nevertheless, electrical performance results and lifetime of solar cell modules installed outside of the buildings have been gradually reduced due to the varied outer ambient circumstances such as temperature, humidity, ultra-violet rays that may cause the reduction of solar cell modules efficiency. Therefore, to solve these issues, this study aims to present a diagnosis algorithm and also perform a diagnosis algorithm to reduce a condition of solar cell modules by taking into account ambient factors and the electrical performance which is energetically related to annual degradation of solar cell modules. Furthermore, this study focused on the implementation of the diagnosis system of solar cell modules with the proposed evaluation algorithm. In addition, the results show that the proposed evaluation and diagnosis system of solar cell modules are practical and useful tools for the improvement of operational efficiency in the solar cell system.
机译:韩国国家政策已加强将Res(可再生能源)传播为解决全球气候变化引起的环境污染问题的替代解决方案之一。在这种情况下,由于环保和可再生太阳能来源的全球担忧,考虑了太阳能电池系统的装置。然而,由于温度,湿度,超紫光率等变化的外部环境环境,因此,安装在建筑物外的太阳能电池模块的电气性能结果和寿命逐渐减少,例如可能导致太阳能电池模块效率降低的变化。因此,为了解决这些问题,本研究旨在呈现诊断算法,并通过考虑环境因素和电气性能,对太阳能电池模块的年退化有效的电气性能进行诊断算法,以减少太阳能电池模块的条件。此外,本研究专注于利用所提出的评估算法实现太阳能电池模块的诊断系统。此外,结果表明,太阳能电池模块的拟议评估和诊断系统是改善太阳能电池系统中运营效率的实用和有用的工具。

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