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首页> 外文会议>2012 38th IEEE Photovoltaic Specialists Conference. >Prediction of energy effects on photovoltaic systems due to snowfall events
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Prediction of energy effects on photovoltaic systems due to snowfall events

机译：预测降雪事件对光伏系统的能量影响

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The accurate prediction of yields from photovoltaic systems (PV) is critical for their proper operation and financing, and in northern latitudes the effects of snowfall on yield can become significant. This work provides methods for identifying snowfall effects from commonly collected performance data, and recommends a model to allow for prediction of these effects based solely on meteorological time series. The model was validated with data from two large-scale (>8MW) operational PV plants. For the low tilt angles most affected by snowfall, this analysis was able to accurately predict both daily and mean values of snow effects. This methodology will enable system operators to utilize performance data to accurately identify and predict snowfall losses, and will assist system designers to optimize for the effects of snowfall on new system designs.
机译：准确预测光伏系统（PV）的产量对于其正常运行和融资至关重要，在北纬地区降雪对产量的影响可能会变得非常重要。这项工作提供了从通常收集的性能数据中识别降雪影响的方法，并推荐了一个模型，以允许仅根据气象时间序列预测这些降雪的影响。该模型已使用来自两个大型（> 8MW）运营光伏电站的数据进行了验证。对于受降雪影响最大的低倾斜角，该分析能够准确预测降雪影响的日平均值。这种方法将使系统操作员能够利用性能数据来准确识别和预测降雪损失，并将帮助系统设计人员针对降雪对新系统设计的影响进行优化。

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