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Electrical performances optimization of Photovoltaic Modules with FMECA approach

机译:使用FMECA方法优化光伏模块的电气性能

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The renewable energy industry has been growing remarkably over the last years and the recent Fukushima nuclear crisis has given a further incentive worldwide. In this context, solar radiation represents one of the most accessible energy resources and the involved industry has seen rapid expansion in the past decade with an ever-increasing share of the electricity-generating capacity. To this aim, both for manufactures and Photovoltaic Plant (PV) management, the assessment of the quality, reliability and electrical performances of their products are becoming more and more important. So, in order to fulfill such requirements, a Failure Modes, Effects and Criticality Analysis methodology (FMECA) has been proposed with the aim to classify the occurrence, the severity and the impact of all possible failure mechanisms on the PV module, which is the fundamental sub-system of the plant. The aim of the proposed approach is to reduce, or eliminate, the impact of potential failure modes before failures occur in the field and it highlights the final effects that show the occurrence of a fault or malfunction. Starting from the results of FMECA, it is also possible to implement suitable architecture of a monitoring system and its metrological characteristics, that can be applied in architecture devoted to Condition Monitoring (CM) techniques. By means of FMECA some crucial aspects for the efficiency of PV module have been put in evidence. Among these, the paper focuses the attention on the presence of pollution and dust on the panel surface. Such phenomenon, in fact, leads to a decrease of the transmittance of solar cell glazing and causes a significant degradation of solar conversion efficiency of PV modules. After the FMECA implementation two different steps has been followed. First the application of FMECA results has been verifies by means of a correlation between the energy reduction and the Maximum Power Point (MPP) of the PV module. Then, a sensitivity evaluation of MPP in function of the powder concentration has been analyzed and discussed. The sensitivity analysis has required the definition of a devoted experimental set-up able to guarantee the repeatability of the analysis; in fact, powder concentration analysis requires acquiring data in different time distant. FMECA approach results allow optimizing the electrical performances of the Photovoltaic Module and plant too.
机译:过去几年中,可再生能源行业取得了显着增长,最近的福岛核危机在世界范围内进一步激发了人们的积极性。在这种情况下,太阳辐射是最易获得的能源之一,并且所涉及的行业在过去十年中迅速发展,其发电能力所占的份额不断增加。为此,对于制造商和光伏电站(PV)管理而言,对其产品的质量,可靠性和电气性能进行评估变得越来越重要。因此,为了满足这些要求,已经提出了一种故障模式,影响和临界分析方法(FMECA),目的是对所有可能的故障机制对光伏组件的发生,严重性和影响进行分类,这就是工厂的基本子系统。提出的方法的目的是在现场发生故障之前减少或消除潜在故障模式的影响,并强调显示故障或故障发生的最终影响。从FMECA的结果开始,还可以实现监视系统及其度量特性的合适架构,这些架构可以应用于专门用于状态监控(CM)技术的架构。通过FMECA,已经证明了一些对光伏组件效率至关重要的方面。其中,本文重点关注面板表面上是否存在污染和灰尘。实际上,这种现象导致太阳能电池玻璃的透射率降低,并导致光伏组件的太阳能转换效率显着下降。在实施FMECA之后,遵循了两个不同的步骤。首先,已通过能量减少与PV模块的最大功率点(MPP)之间的相关性验证了FMECA结果的应用。然后,分析并讨论了MPP对粉末浓度的影响。敏感性分析要求定义一个专门的实验装置,以保证分析的可重复性。实际上,粉末浓度分析需要获取不同时间距离的数据。 FMECA方法的结果可以优化光伏模块和工厂的电气性能。

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