Scenario analysis of the re-electrification of Yunnan’s industrial sector facing the peak of carbon in 2030
文献类型：期刊论文
| 作者 | Li,Qiushuo1; Cheng,Beibei2; Zhu,Xianwen1; Li,Kangyan2; Xie,Yanjun2; Wang,Peng2; Shu,Jie2 |
| 刊名 | IOP Conference Series: Earth and Environmental Science
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 983期号:1 |
| ISSN号 | 1755-1307 |
| DOI | 10.1088/1755-1315/983/1/012109 |
| 英文摘要 | Abstract Energy conservation and emission reduction in the industrial sector is the focus of urban energy conservation and emission reduction, and it is also the sector with the greatest emission reduction potential and the longest time-consuming. Based on the analysis of the current situation of the terminal energy consumption and carbon dioxide emissions of Yunnan’s industrial sector from 2010 to 2019, the scenario analysis method is used to predict the energy consumption and carbon emission reduction potential of Yunnan’s industrial sector from 2021 to 2035. |
| 语种 | 英语 |
| WOS记录号 | IOP:EES_983_1_012109 |
| 出版者 | IOP Publishing |
| 源URL | [http://ir.giec.ac.cn/handle/344007/35797]  |
| 专题 | 中国科学院广州能源研究所 |
| 作者单位 | 1.Digital Grid Research Institute, China Southern Power Grid, 11 Guangpu Middle Road, Huangpu District, Guangzhou 2.Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. No. 2, Wushan Energy Road, Tianhe District, Guangzhou |
| 推荐引用方式 GB/T 7714 | Li,Qiushuo,Cheng,Beibei,Zhu,Xianwen,et al. Scenario analysis of the re-electrification of Yunnan’s industrial sector facing the peak of carbon in 2030[J]. IOP Conference Series: Earth and Environmental Science,2022,983(1). |
| APA | Li,Qiushuo.,Cheng,Beibei.,Zhu,Xianwen.,Li,Kangyan.,Xie,Yanjun.,...&Shu,Jie.(2022).Scenario analysis of the re-electrification of Yunnan’s industrial sector facing the peak of carbon in 2030.IOP Conference Series: Earth and Environmental Science,983(1). |
| MLA | Li,Qiushuo,et al."Scenario analysis of the re-electrification of Yunnan’s industrial sector facing the peak of carbon in 2030".IOP Conference Series: Earth and Environmental Science 983.1(2022). |
入库方式： OAI收割
来源：广州能源研究所
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