Evaluation of the photovoltaic potential in built environment using spatial data captured by unmanned aerial vehicles

被引：11
作者：
Zhang, Wen [1 ,2 ]
Wong, Nyuk Hien [2 ]
Zhang, Yukun [1 ]
Chen, Yuhong [2 ]
Tong, Shanshan [2 ]
Zheng, Zheng [1 ]
Chen, Jiaxuan [1 ]
机构：
[1] Tianjin Univ, Sch Architecture, Tianjin, Peoples R China
[2] Natl Univ Singapore, Sch Design & Environm, Singapore, Singapore
来源：
ENERGY SCIENCE & ENGINEERING | 2019年 / 7卷 / 05期
基金：
中国国家自然科学基金;
关键词：
built environment; geographic information system; low-altitude aerial photography; photogrammetry; photovoltaic potential evaluation; ROOF SURFACE-AREA; LIDAR DATA; SOLAR-RADIATION; DAYLIGHT AVAILABILITY; PV; PERFORMANCE; SYSTEM; MODEL; CITY; METHODOLOGY;
D O I：
10.1002/ese3.408
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a spatial photovoltaic (PV) potential evaluation method based on the combination of aerial photogrammetry and Geographic Information System (GIS) is proposed for PV potential evaluation of built environment (BE). The method can be applied to PV potential evaluation of not only building roofs, but also built environments such as carpark. The point cloud model of the studied field is established by processing images captured by unmanned aerial vehicles (UAV), which are then imported into GIS to estimate the available area for PV installation based on sunlight analysis after offsetting the identified borders of the urban and ecological infrastructures. The PV potential is determined based on the installation configurations of PV modules. With the help of the PVSYST software simulation, the proposed method in this paper is used to evaluate the PV potential of a carpark and a rooftop of a building in Singapore.
引用
收藏
页码：2011 / 2025
页数：15
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