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Solar energy assessment using remote sensing technologies

机译:使用遥感技术进行太阳能评估

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About 20% of the final energy consumed in Europe is used in buildings. The active and passive use of solar energy is an approach to reduce the fossil energy consumption and the greenhouse gas emissions originated by buildings. Consideration of solar energy technologies in urban planning demands accurate information of the available solar resources. This can be achieved by the use of remote sensing data from geostationary satellites which show a very high spatial and a sufficient temporal resolution compared to ground station data. This paper gives a brief introduction to the HELIOSAT method applied to derive surface solar irradiance from satellite images and shows examples of applications: The use of daylight in buildings, the generation of correlated time series of solar irradiance and temperature as input data for simulations of solar energy systems and a short-term forecast of solar irradiance which can be used in intelligent building control techniques. Finally an outlook is given on potential improvements expected from the next generation of European meteorological satellites Meteosat Second Generation (MSG). (C) 2003 Elsevier Science Inc. All rights reserved. [References: 21]
机译:欧洲最终消耗的能源约有20%用于建筑。主动和被动使用太阳能是一种减少化石能源消耗和建筑物产生的温室气体排放的方法。在城市规划中考虑太阳能技术需要对可用太阳能资源的准确信息。这可以通过使用来自对地静止卫星的遥感数据来实现,与地面站数据相比,遥感数据显示出很高的空间分辨率和足够的时间分辨率。本文简要介绍了用于从卫星图像获得地面太阳辐照度的HELIOSAT方法,并举例说明了应用实例:建筑物中日光的使用,太阳辐照度和温度的相关时间序列的生成作为太阳模拟的输入数据能源系统以及可以用于智能建筑控制技术的太阳辐射的短期预测。最后,展望了下一代欧洲气象卫星第二代气象卫星(MSG)有望带来的改进。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:21]

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