Spatial and temporal analysis of decomposition models in China
文献类型：期刊论文
| 作者 | Sun, Ying1,3; Lu, Ning2,3 |
| 刊名 | RENEWABLE ENERGY
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 237页码:121850 |
| 关键词 | Hourly diffuse irradiance Clearness index Decomposition models Sky classification Model comparison |
| DOI | 10.1016/j.renene.2024.121850 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | This study presents a comprehensive evaluation of 15 decomposition models (12 empirical and 3 atmospheric transmittance models) for estimating diffuse horizontal irradiance at 17 radiation sites in China, using hourly radiation data from 2011 to 2020. Our results show distinct patterns in model performance across different geographical regions, seasons, and sky conditions. The Liu model demonstrates the best overall performance with an RMSE of 78.20 W/m(2), while model accuracy shows significant geographical variation, performing best in South and Southeast China (RMSE<70 W/m(2)) and worst in the Qinghai-Tibet Plateau and Northwest China (RMSE>90 W/m(2)). Seasonal analysis reveals better performance in winter than in summer, with RMSE differences approaching 40 W/m(2), mainly due to the higher proportion of solar elevation angles exceeding 30 degrees in summer. Under different sky conditions (classified by clearness index: 0-0.35 for overcast, 0.35-0.65 for partly cloudy, 0.65-1 for clear skies), most models follow an RMSE pattern of partly cloudy > clear sky > overcast. However, the Reindl2, Boland, DIRINT, and DIRINDEX models deviate from this trend due to their formula structure and sensitivity to atmospheric parameters. To reduce these regional disparities, we propose a new region-specific model selection strategy: the DIRINDEX model for eastern regions, DIRINT for central areas, and Karatasou for western regions. This combined approach reduces the overall RMSE to 73.17 W/m(2). This research deepens our understanding of the application of decomposition models in China's complex geographical and climatic conditions, offering valuable references for solar radiation modeling and renewable energy forecasting in diverse climatic regions. |
| WOS关键词 | DIFFUSE SOLAR-RADIATION ; IRRADIANCE MODELS ; EMPIRICAL-MODELS ; SAO-PAULO ; FRACTION ; CITY ; REGION |
| WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
| WOS记录号 | WOS:001360948600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209482]  |
| 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 | Lu, Ning |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, 1,Wenyuan Rd, Nanjing 210023, Qixia, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Ying,Lu, Ning. Spatial and temporal analysis of decomposition models in China[J]. RENEWABLE ENERGY,2024,237:121850. |
| APA | Sun, Ying,&Lu, Ning.(2024).Spatial and temporal analysis of decomposition models in China.RENEWABLE ENERGY,237,121850. |
| MLA | Sun, Ying,et al."Spatial and temporal analysis of decomposition models in China".RENEWABLE ENERGY 237(2024):121850. |
入库方式： OAI收割
来源：地理科学与资源研究所
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