基于SEER评价体系的城镇供热能源结构优化
Optimization of urban heating energy structure based on SEER evaluation system
摘要：
对城镇供热能源结构进行优化，能够合理利用城镇中的供热资源，有效减少污染物排放及经济成本。同时考虑社会（S）、经济（E）、环境（E）及资源供应（R）4个方面建立了衡量供热能源适宜性的SEER评价体系。并基于熵值法，将评价体系中的一级指标加权为综合评价指标。以不同的目标函数建立城镇供热能源结构优化模型，对优化模型进行了案例对比分析。以费用年值为目标函数，当燃料价格改变，煤炭、天然气价格分别升高42.86%和66.67%，电价降低44.44%时，优化方案中初投资和年碳排放量变化均在1%以下，费用年值增加31%；禁用煤炭后，优化方案中初投资和费用年值分别增加134%和84%，但年碳排放量降低94%。
Abstract：
The optimization of urban heating energy structure can make rational use of urban heating resources and effectively reduce pollutant emissions and economic costs. A SEER evaluation system to measure the suitability of heating energy is established by considering the social, economic, environmental and resource supply aspects. Based on the entropy method, the first-level indexes in the evaluation system are weighted into the comprehensive evaluation indexes. The optimization models of urban heating energy structure are established with different objective functions, and the optimization models are compared and analysed by cases. Taking the annual cost as the objective function, when fuel price changes, coal and natural gas prices rise by 42.86% and 66.67% respectively, and the electricity price decreases by 44.44%, the changes of initial investment and annual carbon emission in the optimization scheme are less than 1%, and the annual cost value increases by 31%. After coal is banned, the initial investment and annual cost value of the optimization scheme increases by 134% and 84% respectively, but the annual carbon emission decreases by 94%.
Keywords:heatingplanning;energystructure;evaluationsystem;entropymethod;initialinvestment;carbonemission