摘要
在规模化养殖场沼气工程建设的背景下,文章以工程布局方案合理下的温室气体减排量最大为目标,选取工程建设费用、利润回报、工程容量、物料平衡、安全防疫距离等为约束条件,结合0-1混合整数规划(MIP)和区间-模糊规划方法 (IFLP),构建了一种基于MIIFLP规划的规模化养殖场温室气体(GHG)减排布局方案优化模型。优化结果表明:GHG二氧化碳最大减排当量为[211 821.81,222 486.42]t/a,较案例推荐方案提高了[11.46,17.07]%,在隶属度λ为[0.019 3,0.712 0]时,沼气工程布局优化方案与案例推荐方案相比调整幅度较大,所建模型在保证养殖场正常工作且沼气工程稳定发电的条件下,为规模化养殖场沼气工程建设提供了更加合理的布局方案,也为将可再生能源利用作为一种电力行业温室气体减排的重要途径提供了决策性理论支持。
To maximize the greenhouse gas （GHG） emission reductions under the reasonable engi- neering layout, this article selects construction costs, returns, engineering capacities, material bal-ance, security and epidemic prevention distance and other factors as constraints, combining 0-1 mixed integer programming（MIP） and interval-fuzzy programming method （[FLP）, and constructs an optimization model of the layout scheme of GHG reduction emissions for large-scale farms through MIIFLP planning under such a background of large-scale farms biogas project construction. The optimization results show that： GHG carbon dioxide emissions reduction equivalent is [211 821.81, 222 486.42] tons/year, and be improved by [11.46,17.071% compared with the case of recommended program. When the degree of membership λ is set as [0.019 3, 0.712 0], the adjustment range is larg-er of the optimized layout scheme for the GHG engineering than the case of recommended pro-gram. The model constructed provides a more rational layout scheme for biogas construction of large-scale farms, under the conditions that farms working normally and biogas projects generating electricity stably, and it also provides a decision making theory support for increasing the use of renewable energy as an important approach for GHG emission reductions in the electricity power industry.
出处
《可再生能源》
CAS
北大核心
2014年第3期365-370,共6页
Renewable Energy Resources
关键词
温室气体减排
沼气发电
布局方案
0-1混合整数规划
区间-模糊规划
GHG emission reduction
biogas power generation
layout scheme
0-1 mixed integerprogramming
interval-fuzzy programming
