| 来源类型 | Article
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| 规范类型 | 其他
|
| DOI | 10.1016/j.energy.2018.07.133
|
| A multi-regional energy transport and structure model for China’s electricity system. |
| Zhang Y; Ma T; Guo F
|
| 发表日期 | 2018
|
| 出处 | Energy 161: 907-919
|
| 出版年 | 2018
|
| 语种 | 英语
|
| 摘要 | The imbalance between the distribution of coal resources and electricity demand makes the transport of energy a significant challenge for China’s electricity system. Moreover, with China’s air pollution control policies, more clean energy resources will be used to generate electricity, which will change regional power generation structures and influence the energy transport among regions. In this paper, a multi-regional model is developed to optimize the long-term generation and transmission structure of China’s electricity system by minimizing the accumulative system cost and considering regional resource endowments and air pollution control polices in four key areas. Results indicate that 1) the share of power generation from clean energy will increase from 24% in 2015 to 62% in 2050, 2) the structure of power generation in each region will be influenced by local water resource availability, and the total CO2 emission will be reduced by around 16% in 2030 owing to the air pollution control policies, and 3) by 2050, coal will be mainly transported from the North to the Central, the South, the East and the Northeast, while the electricity will be transmitted to the Central, the South and the East from the Northwest, the North, the Southwest and the Central. |
| 主题 | Energy (ENE)
; Transitions to New Technologies (TNT)
|
| 关键词 | China’s electricity system, energy transport, electricity transmission,Ultra-high voltage (UHV,system optimization model
|
| URL | http://pure.iiasa.ac.at/id/eprint/15392/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131509
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推荐引用方式
GB/T 7714 |
Zhang Y,Ma T,Guo F. A multi-regional energy transport and structure model for China’s electricity system.. 2018.
|
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