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Prediction method of corrosion rates of pre-coated steel sheets used for photovoltaic systems in marine environment

机译:海洋环境中用于光伏系统的预涂层钢板腐蚀速率的预测方法

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摘要

While developing an predicting method of the material corrosion rates using extremum statistical analysis, salt attachment was measured with ACM sensors installed jointly with NKK Corporation on various parts of exposed test objects in seacoast communities. By using the measured results and airborne sea-salt measurement data on various Japanese seacoasts, a prediction formula was derived for degree of long-term paint swelling, enabling the service life to be predicted of peripheral materials used in solar power generation systems. Previous evaluation methods, such as salt spray testing, did not reproduce the actual operating conditions and thus did not accurately predict the life of the specimen. The developed predection method enables appropriate material selection for peripheral materials in solar power generation system equipment and determination of installable areas of these systems in areas of Japan close to seacoasts.
机译:在使用极值统计学分析开发材料腐蚀速率的预测方法的同时,用与NKK Corporation一起安装的ACM传感器在海岸社区中的各个部分上与NKK Corporation一起安装盐附着。 通过使用对各种日本海岸的测量结果和空气传播的海盐测量数据,导出了长期涂料膨胀程度的预测公式,从而实现了太阳能发电系统中使用的外围材料的使用寿命。 以前的评估方法,例如盐雾试验,没有再现实际的操作条件,因此没有准确地预测样本的寿命。 开发的预切割方法使太阳能发电系统设备中的外围材料具有适当的材料选择,以及在日本区域靠近海岸的日本区域的这些系统的可安装区域的确定。

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