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Photovoltaic Module Reliability Model Based on Field Degradation Studies

机译:基于场退化研究的光伏组件可靠性模型

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Crystalline silicon photovoltaic (PV) modules are often stated as being the most reliable element in PV systems. This presumable high reliability is reflected by their long power warranty periods. In agreement with these long warranty times, PV modules have a very low total number of returns, the exceptions usually being the result of catastrophic failures. Up to now, failures resulting from degradation are not typically taken into consideration because of the difficulties in measuring the power of an individual module in a system. However, lasting recent years PV systems are changing from small isolated systems to large grid-connected power stations. In this new scenario, customers will become more sensitive to power losses and the need for a reliability model based on degradation may become of utmost importance. In this paper, a PV module reliability model based on degradation studies is presented. The main analytical functions of reliability engineering are evaluated using this model and applied to a practical case, based on state-of-the-art parameters of crystalline silicon PV technology. Relevant and defensible power warranties and other reliability data are obtained with this model based on measured degradation rates and time-dependent power variability. In the derivation of the model some assumptions are made about the future behaviour of the products-i.e. linear degradation rates-although the approach can be used for other assumed functional profiles as well. The method documented in this paper explicitly shows manufacturers how to make reasonable and sensible warranty projections. Copyright ? 2008 John Wiley & Sons, Ltd.
机译:晶体硅光伏(PV)模块通常被认为是PV系统中最可靠的元件。这种假定的高可靠性反映在其较长的电源保修期限内。与较长的保修时间相一致,光伏组件的退货总数非常低,例外情况通常是灾难性故障的结果。到目前为止,由于难以测量系统中单个模块的功率,因此通常不会考虑由于降级而导致的故障。但是,近几年来,光伏系统正从小型隔离系统变为大型并网发电站。在这种新情况下,客户将对功率损耗变得更加敏感,因此基于退化的可靠性模型的需求可能变得尤为重要。本文提出了基于退化研究的光伏组件可靠性模型。使用此模型评估可靠性工程的主要分析功能,并基于晶体硅PV技术的最新参数将其应用于实际案例。该模型基于测得的退化率和随时间变化的功率可变性,获得了相关的和可辩护的功率保证以及其他可靠性数据。在模型推导中,对产品的未来行为做出了一些假设-即线性降解率-尽管该方法也可以用于其他假定的功能概况。本文中记录的方法明确地向制造商展示了如何制定合理和合理的保修计划。版权? 2008 John Wiley&Sons,Ltd.

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