Future scenario generation and reduction methods for solar photovoltaic electricity production analysis
文献类型:期刊论文
| 作者 | Wang,Jing1; Zhao,Yuming1; Ye,Cantao2; Chen,Jiongcong2; Li,Huashan2 |
| 刊名 | Journal of Physics: Conference Series
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| 出版日期 | 2024-08-01 |
| 卷号 | 2814期号:1 |
| ISSN号 | 1742-6588 |
| DOI | 10.1088/1742-6596/2814/1/012015 |
| 通讯作者 | Ye,Cantao() |
| 英文摘要 | Abstract A morphing-clustering-based method of generation and reduction future scenario for solar photovoltaic electricity production analysis is studied. Present historical annual weather data are transformed into future scenarios and timeframes by a morphing method with a general circulation model. The Copula methodology is applied to model the forthcoming decade’s annual meteorological data and generate abundant intra-day hourly scenario samples. The comparative analysis of the photovoltaic power output variations between future and present in reduction typical scenarios is conducted by the K-means clustering method with appropriate clustering parameter optimization. The simulation results show that the annual mean variations in global horizontal radiation, dry bulb temperature, and wind speed are projected to increase by approximately from 20.1 to 36.5 W/m2, 1.6 to 2.3°C, and 0.1 to 0.6 m/s, respectively in the forthcoming scenario of shared socioeconomic pathways 2-4.5. It is seen that solar photovoltaic electricity production anticipates a positive increase from 2.5% to 17.9%. |
| 语种 | 英语 |
| WOS记录号 | IOP:JPCS_2814_1_012015 |
| 出版者 | IOP Publishing |
| 源URL | [http://ir.giec.ac.cn/handle/344007/42657] ![]() |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Ye,Cantao |
| 作者单位 | 1.Shenzhen Power Supply Bureau Co., Ltd., Shenzhen, Guangdong, 518020, China 2.Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, Guangdong, 510640, China |
| 推荐引用方式 GB/T 7714 | Wang,Jing,Zhao,Yuming,Ye,Cantao,et al. Future scenario generation and reduction methods for solar photovoltaic electricity production analysis[J]. Journal of Physics: Conference Series,2024,2814(1). |
| APA | Wang,Jing,Zhao,Yuming,Ye,Cantao,Chen,Jiongcong,&Li,Huashan.(2024).Future scenario generation and reduction methods for solar photovoltaic electricity production analysis.Journal of Physics: Conference Series,2814(1). |
| MLA | Wang,Jing,et al."Future scenario generation and reduction methods for solar photovoltaic electricity production analysis".Journal of Physics: Conference Series 2814.1(2024). |
入库方式: OAI收割
来源:广州能源研究所
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