TOWARDS VALIDATED URBAN PHOTOVOLTAIC POTENTIAL AND SOLAR RADIATION MAPS BASED ON LIDAR MEASUREMENTS, GIS DATA, AND HOURLY DAYSIM SIMULATIONS
TOWARDS VALIDATED URBAN PHOTOVOLTAIC POTENTIAL AND SOLAR RADIATION MAPS BASED ON LIDAR MEASUREMENTS, GIS DATA, AND HOURLY DAYSIM SIMULATIONS
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发表时间：
2012
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通讯作者：
J. Jakubiec;C. Reinhart
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作者：
J. Jakubiec;C. Reinhart
我们提出了一种生成详细的几何城市体量模型的方法，结合建筑物的足迹和材料信息，从大型GIS数据集和激光雷达高程测量。美国马萨诸塞州剑桥市的一个示例模型包含17，000多座建筑物，该模型用作使用RADIANCE / DAYSIM模拟引擎进行年度太阳辐射计算的输入。基于每小时的辐照度计算结果，我们发现有可能为建筑物上的PV放置提出建议，并智能地确定建筑物的总面积和有用的屋顶面积。模拟结果进行比较，通常用于在实践中产生的太阳辐射图的其他美国城市。结果发现，所提出的方法产生更好的几何精度和更高的辐射预测相比，以前的方法。这导致以更低的安装成本增加预测的光伏发电量，并更准确地估计有用的屋顶面积。
We present a method for generating detailed geometric urban massing models combined with building footprint and material information from large GIS datasets and LiDAR elevation measurements. An example model for the city of Cambridge, Massachusetts, USA that contains over 17,000 buildings is used as input for annual solar radiation calculations using the RADIANCE / DAYSIM simulation engine. Based on hourly irradiance calculation results, we find it possible to make recommendations for PV placement on a building and to intelligently determine the total and useful roof area of buildings. Simulation results are compared to those typically used in practice to produce solar radiation maps of other US cities. It is found that the presented method yields better geometric accuracy and higher irradiation predictions compared to previous methods. This results in increased predicted PV energy production at lower installation costs and more accurate estimates of useful rooftop area.