天空状态:对地面数字图像的局部分析

Salah Moughyt, Y. Zaz, Samia Fathi, O. E. Kadmiri
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引用次数: 2

摘要

云层遮挡了阳光,可以确定为光伏板接收总辐照度明显降低的主要因素,然后是间歇性发电。在本文中,为了预测太阳能装置的能量产生,我们分析了获得的地面天空图像,以提取其实际状态(晴朗,部分多云或完全多云)。嵌入式系统用于同时捕获图像和估计发电量。通过比较数字图像中太阳区域的亮度与其周围区域的亮度来确定准确的天空状态。实验结果表明,所开发的技术可以很容易地嵌入到太阳能发电厂中,以准确预测短时间的能源生产。
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Sky status: A local analysis of ground based digital images
Cloud coverage obscures the sunlight, it can be identified as the major factor that significantly decreases the total irradiance received by photovoltaic panels, and then the power generation is intermittent. In this paper, and in order to predict the energy production by a solar installation, we analyze the acquired ground based images of the sky to extract its actual status (clear, partially cloudy, or totally cloudy). An embedded system is dedicated to simultaneously capture images and estimate the power generation. The accurate sky status is determined by comparing the brightness of the sun zone in the digital image to its surrounding area. The experimental results are promising and shows that the developed techniques can be easily embedded in solar plants to accurately predict the short time energy production.
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