Case Study of Solar Photovoltaic Power-Plant Site Selection for Infrastructure Planning Using a BIM-GIS-Based Approach

Case Study of Solar Photovoltaic Power-Plant Site Selection for Infrastructure Planning Using a BIM-GIS-Based Approach
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DOI:
10.3390/app11188785
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发表时间:
2021-09-01
影响因子:
2.7
通讯作者:
Lee, Dong-Eun
Lee, Dong-Eun
中科院分区:
综合性期刊4区
文献类型:
--
作者:
Heo, Jae;Moon, Hyounseok;Lee, Dong-Eun

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评估光伏 (PV) 发电厂的选址过程对于在有限的空间内确保太阳能发电厂安装的可用区域至关重要。尽管高速公路网络附近适合安装光伏电站,但就经济可行性而言,很少对其进行调查,因为尚未分析各种因素(包括地理或天气模式)的影响。在这方面,本研究通过整合地理信息系统(GIS)和建筑信息模型(BIM)技术,对在高速公路附近(例如斜坡)选择光伏电池板安装地点进行了案例研究。使用位置(例如高速公路、湖泊、河流)、每月太阳能输出和地形(例如坡度)数据,通过地理空间分析确定合适的区域;然后,评估这些区域可以产生的电量。对于拟议站点,表面条件和潜在的光伏系统在 BIM 环境中进行转换和可视化。结果显示,从案例区域中选择的最佳站点的总发电量为 8227 MWh,并转化为三维环境中的太阳能电池板系列。因此,这项研究可能有助于在高速公路附近的未使用区域确定光伏电站的最佳地点。
Evaluating the site-selection process for photovoltaic (PV) plants is essential for securing available areas for solar power plant installation in limited spaces. Although the vicinities of highway networks can be suitable for installing PV plants, in terms of economic feasibility, they have rarely been investigated because the impacts of various factors, including geographic or weather patterns, have not been analyzed. In this respect, this study conducts a case study on selecting the site for PV-panel installation in the vicinity of a highway (e.g., slopes) by integrating geographic information system (GIS) and building information model (BIM) techniques. Using location (e.g., highways, lakes, rivers), monthly solar power output, and orographic (e.g., slope) data, suitable regions are identified with the geo-spatial analysis; then, the amount of power that can be generated is evaluated in the regions. For the proposed sites, the surface conditions and potential PV systems are transformed and visualized in a BIM environment. In the results, the power output at optimal sites selected from the case area was computed at a total of 8227 MWh and was transformed into solar-panel families in three-dimensional environments. Thus, this study may help to identify optimal sites for PV plants in the unused areas near highways.