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Design of a Cleaning Program for a PV Plant Based on Analysis of Energy Losses

机译:基于能量损失分析的光伏电站清洗程序设计

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摘要

Solar photovoltaic (PV) energy has grown significantly over the past few years. However, despite the increase in installed capacity, this energy source still raises important concerns related to the variability of power production. The short-term effects such as cloud shadowing and supply interruptions, as well as long-term effects such as dust accumulation, seasonal variation, and ageing of PV modules, can cause variability of power production. Therefore, the analysis of all the variability sources in order to provide statistically consistent power production data is an important challenge. This study presents a methodology to analyze data from a PV plant in order to have an independent evaluation of the different effects of variability, identifying dust deposition, and proposing a cost-based optimal cleaning program for a PV plant installed in the northern region of Chile.
机译:在过去的几年中,太阳能光伏(PV)能源已显着增长。然而,尽管装机容量增加了,但是这种能源仍然引起与电力生产的可变性有关的重要问题。短期影响(例如云层阴影和电源中断)以及长期影响(例如灰尘堆积,季节性变化和PV模块老化)可能会导致发电量变化。因此,分析所有可变性源以提供统计上一致的发电量数据是一项重要的挑战。这项研究提出了一种方法来分析光伏电站的数据,以便对变异性的不同影响进行独立评估,确定粉尘沉积,并为智利北部地区安装的光伏电站提出基于成本的最佳清洁方案。

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