期刊文献+

基于技术减排的碳排放总量控制优化模型研究 被引量:5

Research on optimization model for total carbon emission control under technology control of carbon emission
下载PDF
导出
摘要 文章以低碳经济理论为依据,在基于结构减排的碳排放总量控制优化模型基础上,将与低碳经济发展相关的九大类行业所涉及的能源类别对应的碳排放量作为研究对象,以预期年碳排放量最小为优化目标,预期年碳减排目标、能源消费总成本、各行业能源消耗量等作为约束条件,运用传统线性规划数学方法,建立基于技术减排的碳排放总量控制优化模型。模型优化结果显示,在运用低碳技术改变能源利用方式后,基于技术减排的优化方案2020年碳排放总量为959 817.17×104t,单位GDP碳排放为1.68 t/104元,较基于结构减排的优化方案降低了13.40%,表明相对于结构减排的优化方案尚具有一定的碳减排空间,为低碳经济发展提供了理论依据和决策支持。 In this paper, according to low carbon economy (LCE) theory, several energy types of nine categories LCE related industries were selected as research objects on the basis of optimization model of total carbon emission control under structure control of carbon emission. Utilizing tradi- tional liner programming mathematical methods, taking the minimum carbon emission of the expect- ed year as optimal objective, taking carbon emission reduction target, total cost of energy consump- tion, industry energy consumption of the expected year as constrain condition, an optimization mod- el of total carbon emission under technology control of carbon emission was built. The optimization results showed that with the energy utilization pattern converted by low carbon technology, the total carbon emission of the optimization scheme under technology control in 2020 was 959 817.17x104 tons, while the carbon emission per unit of GDP was 1.68 tons/104 yuan, dropping 13.40% compared with the Optimization scheme under structure control. It indicated that the optimization scheme un- der technology control of carbon emission had a more capacious carbon reduction space, providing theoretical evidence and decision-support for LCE development.
出处 《可再生能源》 CAS 北大核心 2014年第10期1582-1587,共6页 Renewable Energy Resources
基金 湖南省第一批省级环保科技项目(2011-04)
关键词 技术减排 低碳经济发展 碳排放总量 线性规划 technology control of carbon emission low carbon economy development total carbonemission liner programming
  • 相关文献

参考文献12

二级参考文献121

共引文献1524

同被引文献39

  • 1吴巧生,成金华,王华.中国工业化进程中的能源消费变动——基于计量模型的实证分析[J].中国工业经济,2005(4):30-37. 被引量:179
  • 2Cai Y P,Huang G H,Tan Q,et al.Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment[J].Renewable Energy,2009,34(7):1833-1847.
  • 3Zhu Y,Li Y P,Huang G,et al.Modeling for planning municipal electric power systems associated with air pollution control:A case study of Beijing[J].Energy,2013,60(4):168-186.
  • 4Piao M J,Li Y P,Huang G H.Development of a stochastic simulation-optimization model for planning electric power systems:A case study of Shanghai,China[J].Energy Conversion and Management,2014,86(5):111-124.
  • 5Sharafi M,Elmekkawy T Y.Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach[J].Renewable Energy,2014,68(68):67-69.
  • 6Dong C,Huang G H,Cai Y P,et al.An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city[J].Energy,2012,37(1):673-688.
  • 7Xie Y L,Li Y P,Huang G H,et al.An inexact chanceconstrained programming model for water quality management in Binhai New Area of Tianjin,China[J].Science of the Total Environment,2011,409(10):1757-1773.
  • 8姜克隽,胡秀莲,庄幸,刘强.中国2050年低碳情景和低碳发展之路[J].中外能源,2009,14(6):1-7. 被引量:112
  • 9李晓燕,邓玲.城市低碳经济综合评价探索--以直辖市为例[J].现代经济探讨,2010(2):82-85. 被引量:93
  • 10郭理桥.模型系统优化低碳生态城的可持续发展[J].城市发展研究,2010,17(3):28-38. 被引量:9

引证文献5

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部