Selecting photovoltaic generation sites in Tibet using remote sensing and geographic analysis
文献类型：期刊论文
| 作者 | Wang, Siheng1; Zhang, Lifu1; Fu, Dongjie1; Lu, Xu1; Wu, Taixia1; Tong, Qingxi1 |
| 刊名 | Solar Energy
 |
| 出版日期 | 2016 |
| 卷号 | 133页码:85-93 |
| 关键词 | CLASSIFICATION DECOMPOSITION |
| 通讯作者 | Zhang, Lifu |
| 英文摘要 | Harnessing solar energy through photovoltaic (PV) generation of electricity is a promising method, expected to reduce greenhouse gas emissions at a relatively low cost. A primary obstacle for the large-scale exploitation of solar energy in regions with poor electrical infrastructure is that the output of the PV systems is hard to match their connection with the electric grid, due to the lack of strategical planning. This study aims to map the most promising locations for potential PV investments in Tibet, China, where solar radiation is in abundance, presenting an opportunity to install PV stations across the country. Geographic information science (GIS) overlay was implemented, considering solar energy distribution, local terrain and native land cover. Several remotely sensed data were employed as input, including time series of solar radiation data, land cover data and digital elevation model data. In total, 4005 sites were selected, with the majority in the regions of Shigatse and Ngari. The results were discussed according to their distance to existing electricity substations, to evaluate the difficulty to be connected to the grid. The work highlights a method for the selection of suitable PV power generation sites, and provides a guidance for the construction of these stations, particularly in Tibet-like regions with poor electrical infrastructure, and harsh environmental conditions. © 2016 Elsevier Ltd. |
| 学科主题 | Energy & Fuels |
| 类目[WOS] | Energy & Fuels |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161602274467 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39172]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Clark University, 950 Main Street, Worcester 4.MA, United States |
| 推荐引用方式 GB/T 7714 | Wang, Siheng,Zhang, Lifu,Fu, Dongjie,et al. Selecting photovoltaic generation sites in Tibet using remote sensing and geographic analysis[J]. Solar Energy,2016,133:85-93. |
| APA | Wang, Siheng,Zhang, Lifu,Fu, Dongjie,Lu, Xu,Wu, Taixia,&Tong, Qingxi.(2016).Selecting photovoltaic generation sites in Tibet using remote sensing and geographic analysis.Solar Energy,133,85-93. |
| MLA | Wang, Siheng,et al."Selecting photovoltaic generation sites in Tibet using remote sensing and geographic analysis".Solar Energy 133(2016):85-93. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。