产量(工程)
光伏系统
环境科学
计算机科学
材料科学
电气工程
复合材料
工程类
作者
Michael G. Deceglie,Leonardo Micheli,Matthew Muller
标识
DOI:10.1109/jphotov.2017.2784682
摘要
Soiling of photovoltaic (PV) panels is typically quantified through the use of specialized sensors. Here, we describe and validate a method for estimating soiling loss experienced by PV systems directly from system yield without the need for precipitation data. The method, termed the stochastic rate and recovery (SRR) method, automatically detects soiling intervals in a dataset, then stochastically generates a sample of possible soiling profiles based on the observed characteristics of each interval. In this paper, we describe the method, validate it against soiling station measurements, and compare it with other PV-yield-based soiling estimation methods. The broader application of the SRR method will enable the fleet scale assessment of soiling loss to facilitate mitigation planning and risk assessment.
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