• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2013, Vol. 34 ›› Issue (11): 82-86.doi: 10.3969/j.issn.1000-7229.2013.11.016

• 发电技术 • 上一篇    下一篇

区域电力结构优化模型及温室气体减排潜力

解玉磊1,付正辉1,汤烨1,刘应梅2,李薇1   

  1. 1. 区域能源系统优化教育部重点实验室(华北电力大学),北京市 102206; 2.中国电力科学研究院,北京市 100192
  • 出版日期:2013-11-01
  • 作者简介:解玉磊(1985),男,博士研究生,E-mail:xieyulei850228@yahoo.com.cn; 付正辉(1988),男,硕士研究生,主要从事区域能源系统模拟优化工作,E-mail:fzhncepu@gmail.com; 汤烨(1988),男,硕士研究生,E-mail:574548241@qq.com; 刘应梅(1976),女,博士,主要从事定制电力方面的工作,E-mail:eprilym@yahoo.com.cn; 李薇(1974),女,博士,副教授,主要从事环境污染控制、能源与环境系统分析等方面的工作,E-mail:weili819@yahoo.com.cn。
  • 基金资助:

    环境保护部环境公益项目(201309063)。

Regional Power Structure Optimization Model and Greenhouse Gases Emission Reduction Potential

XIE Yulei1, FU Zhenghui1, TANG Ye1, LIU Yingmei2, LI Wei1   

  1. 1. Education Ministry Key Laboratory of Regional Energy System Optimization, North China Electric Power University, Beijing 102206, China; 2. China Electric Power Research Institute, Beijing 100192, China
  • Online:2013-11-01

摘要:

如何实现电力行业温室气体的有效减排是当前亟待解决的问题。基于碳捕集技术分析,以区域发电成本最小化为目标,以碳排放量为约束条件,构建区域电力结构优化模型;分析在不同减排水平的场景下,区域电力行业不同发电方式的分配结果,论述碳捕集技术在火力发电中的应用前景。研究结果表明,在全年排放总量不变的前提下,基于电力需求动态调整逐月碳排放额度将有效降低发电总成本,降低碳捕集成本及太阳能发电成本将成为节能减排的下一个目标。此研究成果可供电力行业节能减排工作参考。

关键词: 电力行业, 温室气体减排, 碳捕集技术, 优化模型

Abstract:

How to achieve the effective emission reduction of green house gases is the promising problem to Chinas power industry. For the purpose of minimizing the cost of regional power generation, and restricting carbon emission, an optimized model for regional power structure was proposed, based on the analysis on carbon capture technology. The different forms of power generation distribution in regional electric power industries were analyzed under different level of emission reduction scenarios, and the application prospect of carbon capture technology were discussed in thermal power generation. The results show that it can effectively reduce the total generation cost through adjusting monthly carbon credits, based on the annual emission unchanged. Furthermore, reducing the cost of carbon capture and solar power will become the next target of energy conservation and emission reduction in the future. The results could provide references for energy conservation and emission reduction in electric power industries.

Key words: electric power industry, greenhouse gases emission reduction, carbon capture technology, optimization model