规模化养殖场沼气工程替代传统模式发电的GHG减排不确定性优化模型  

An Optimal Model for Greenhouse Gas Emission Reduction Based on Biogas Projects in a Scale Farm Replacing the Traditional Mode of Power Generation under Uncertainty

作　　者：庞天一[1] 孙钊[2,3] 温静雅[2,3] 东双[1] 赵文晋[1] 李鱼[2,3] 

机构地区：[1]吉林大学环境与资源学院,长春130012 [2]华北电力大学资源与环境研究院,北京102206 [3]华北电力大学区域能源系统优化教育部重点实验室,北京102206

出　　处：《吉林大学学报（理学版）》2013年第1期153-157,共5页Journal of Jilin University:Science Edition

基　　金：中国新加坡吉林食品区生猪养殖场建设项目

摘　　要：根据沼气发电的现状与特点,运用整数规划和区间线性规划方法,以温室气体最大减排量为目标函数,构建一种基于不确定性方法的温室气体(GHG)减排优化模型.案例分析表明:在满足预投资、运行利润和技术要求等约束条件下,案例温室气体最大减排量为每年211 821.8～247 410.1t二氧化碳当量,比推荐方案提高了11.46%～30.19%.Based on the status and characteristics of the biogas power generation, the authors used the integer programming and the interval linear programming method to develop an optimized GHG emission reduction model for the largest greenhouse gas emission reduction under uncertainty. The case analysis shows that under the requirements of the investment, the operation profits and technology, 211 821.8--247 410.1 t CO2 equivalence could be reduced every year, Which is increased by 11. 46%-30.19% compared with recommended scheme.

关 键 词：沼气发电 温室气体(GHG)减排 0-1整数规划 线性规划 不确定性优化模型 

分 类 号：X32[环境科学与工程—环境工程] S216.4[农业科学—农业机械化工程]