Quantitative assessment of the power loss of silicon PV modules by IR thermography and its dependence on data‐filtering criteria,Progress in Photovoltaics

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Quantitative assessment of the power loss of silicon PV modules by IR thermography and its dependence on data‐filtering criteria
Progress in Photovoltaics ( IF 8.0 ) Pub Date : 2019-08-06 , DOI: 10.1002/pip.3175
Janine Teubner ₁ , Claudia Buerhop ₁ , Tobias Pickel ₁ , Jens Hauch _{1,

2} , Christian Camus _{1,

2} , Christoph J. Brabec _{1,

2}

Affiliation

Reliability and quality control of photovoltaic (PV) plants increases in importance as the relevance of PV for the worldwide renewable energy production grows. In this study, a new method is presented which allows for a quantitative assessment of silicon PV module performance solely by relying on the cell temperatures measured via thermography (IR). A module temperature and power key figure are formulated and found to correlate very well with a linear relationship. The dependence of the deduced correlation's precision on measurement conditions is calculated and discussed. It facilitates decision‐making because optimal measurement conditions usually occur only very rarely, such that a compromise between data quality and measurement frequency has to be found. The power loss correlation presented in this paper may be used as part of a maintenance routine in order to ensure the best possible long‐term performance of the PV plant over its lifetime. The practical application in the field is outlined and explained.

中文翻译：

红外热成像技术定量评估硅光伏组件的功率损耗及其对数据过滤标准的依赖性

随着光伏在全球可再生能源生产中的重要性不断提高，光伏（PV）工厂的可靠性和质量控制的重要性日益提高。在这项研究中，提出了一种新方法，该方法仅依靠通过热成像（IR）测得的电池温度就可以定量评估硅PV模块的性能。公式化了模块温度和功率指标，发现与线性关系很好。计算并讨论了推导的相关精度对测量条件的依赖性。由于最佳测量条件通常很少发生，因此它有助于决策，因此必须在数据质量和测量频率之间找到折衷方案。本文中介绍的功率损耗相关性可以用作维护例行程序的一部分，以确保光伏电站在其整个使用寿命期间具有最佳的长期性能。概述并解释了该领域的实际应用。

更新日期：2019-08-06

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