激光雷达数据的建筑物光伏潜力评估

Solar potential assessment in buildings based on laser scanning point clouds

针对如何规模化、定量化评估城市建筑物尺度光伏发电潜力,充分、有效利用太阳能资源,实现建筑物能源自给自足目标的问题,该文通过利用机载激光雷达数据,批量获取建筑物屋顶相关信息,借助三维立体模型确定太阳能板的安装区域,进行区域建筑物表面光伏发电潜力评估。以山东建筑大学校园内13栋建筑物屋顶为例,基于ArcGISPro提供的太阳辐射分析工具获取实验区域2016年逐月太阳辐射数据。实验结果显示,该区域年均太阳辐射强度为1160.7kW·h/m2,通过实例分析验证了基于建筑物表面的光伏发电容量在建筑物能源供给中具有重要作用。同时,文章对实验区域建筑物光伏发电潜力月度容量进行分析,得出一年中的高峰时段为5—7月,而冬季的11月份到次年2月份是低谷期。文章利用机载激光雷达数据批量获取建筑物屋顶定量信息,对区域建筑物尺度光伏发电潜力评估做了初步的尝试及若干思考,实践证明该方法是引导太阳能资源开发利用的一种有效途径。

How to estimate the amount of solar energy in city buildings completely and quickly is very important for policy of green building.Based on Laser Scanning Point Clouds,the paper acquired the quantity information of regional rooftop.With the visualization from 3D models,the paper could select the installment area of photovoltaic panels.The paper took example of 13 different buildings in Shandong Jianzhu University.The solar photovoltaic potential in the rooftop was quantified for each month in 2016.The results showed that the annual solar radiation in this area was 1 160 KWh/m^2,which implied that photovoltaic power could play an important role in energy supply for buildings.In addition,the paper compared the different results among the 12 months.The total amount of solar radiation in May,June and July were much higher than that of in February.The paper introduced Airborne Laser Scanning data to predict the regional photovoltaic potential.The result showed that it was an efficient method for the development of solar energy.