Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data
文献类型：期刊论文
| 作者 | Liu, Yujun1,2,5; Yao, Ling1,3,6; Jiang, Hou1; Lu, Ning1,3,6; Qin, Jun1,6; Liu, Tang4; Zhou, Chenghu1,5 |
| 刊名 | RENEWABLE ENERGY
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 189页码:1249-1258 |
| 关键词 | Solar photovoltaic Optimum tilt angle Diffuse fraction Empirical model Adjustment scheme Power yield gain |
| ISSN号 | 0960-1481 |
| DOI | 10.1016/j.renene.2022.03.072 |
| 通讯作者 | Yao, Ling(yaoling@lreis.ac.cn) |
| 英文摘要 | Tilt angle is a key parameter that affects solar photovoltaic (PV) power generation. Traditional empirical model based on latitude may fail to estimate the optimum tilt angle in regions with large climatic dif-ferences. In this study, we propose a framework that incorporates ground with satellite data to determine the optimum tilt angle at any location. We collect global solar radiation measurements of 133 stations in China and estimate the diffuse fraction through Boland-Ridley-Lauret model. Hourly PV power gen-eration is modelled by considering photoelectric conversion process and PV system losses. The results show that the optimum tilt angles are highly correlated with latitude and diffuse fraction with an R of 0.86 and 0.80, respectively. Empirical models reconciled by diffuse fraction allow for spatial estimates of the optimum tilt angle from satellite data to reflect the climatic influence. Furthermore, we explore the benefit from periodically adjusting the tilt angle in China. PV panels fixed at the optimum tilt angle increase the annual power yield by 13.7% compared with horizontally fixed panels. Seasonal adjustment largely increases power yield in winter; additional yield gain of monthly adjustment is very limited; while tracking systems provide the option of achieving double or even triple gains.(c) 2022 Elsevier Ltd. All rights reserved. |
| WOS关键词 | SURFACE SOLAR IRRADIANCE ; TRACKING-SYSTEMS ; AZIMUTH ANGLE ; RADIATION ; MODELS |
| 资助项目 | Third Xinjiang Scientific Expedition Program[2021xjkk130301] ; National Natural Sci-ence Foundation of China[41771380] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory[GML2019ZD0301] |
| WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000806925900006 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Third Xinjiang Scientific Expedition Program ; National Natural Sci-ence Foundation of China ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/178862]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yao, Ling |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Prov Geomat Ctr Jiangsu, Nanjing 210013, Peoples R China 3.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 4.China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yujun,Yao, Ling,Jiang, Hou,et al. Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data[J]. RENEWABLE ENERGY,2022,189:1249-1258. |
| APA | Liu, Yujun.,Yao, Ling.,Jiang, Hou.,Lu, Ning.,Qin, Jun.,...&Zhou, Chenghu.(2022).Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data.RENEWABLE ENERGY,189,1249-1258. |
| MLA | Liu, Yujun,et al."Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data".RENEWABLE ENERGY 189(2022):1249-1258. |
入库方式： OAI收割
来源：地理科学与资源研究所
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