摘要
针对燃气冷热电联产系统优化方法可拓展性不强,目标函数权重因子的选取较片面,采用了负理想点法对系统进行优化并引入主客观赋权的方法确定选用目标函数的权重因子,客观赋权采用了由信息熵构建的熵权法.以燃气内燃机为核心对系统进行配置并建立数学模型,将此方法应用于工程实例,结果表明:联产系统采用主客观赋权的负理想点法优化后较传统分供系统年总费用节约194.6万元、一次能源利用率提高15.2%,、年二氧化碳排放量减排2,800.8,t,与其他优化方法相比体现了其良好的协调性及合理性.
To solve the problems that extensibility of optimization methods for gas combined cooling heating and power (CCHP)system was not strong and the objective function weighting factors were selected one-sidedly,a negative ideal point system optimization method was adopted,and a subjective and objective weighting method was used to determine the weighting factor of a selected target function.The objective weighting method used entropy weight constructed by information entropy.A system was configured with gas engine as the core and a mathematical model was established.By applying this method to one project,it is found that CCHP system optimized by a negative ideal point with subjective and objective weighting functions is better compared with the separate supply system. The total annual cost savings are 1.946,million yuan,primary energy utilization rate is increased by 15.2%,and reductions in carbon dioxide emissions are 2,800.8,t each year. This method is more coordinable and rational compared with other optimization methods.
作者
韩刚
由世俊
张欢
Han Gang;You Shijun;Zhang Huan(School of Environmental Science and Engineering,Tianjin University,Tianjin 300072,China)
出处
《天津大学学报（自然科学与工程技术版）》
EI
CSCD
北大核心
2016年第10期1106-1111,共6页
Journal of Tianjin University：Science and Technology
基金
国家自然科学基金资助项目(51106110)
关键词
冷热电联产
负理想点
主客观赋权
多目标优化
combined cooling heating and power
negative ideal point
objective and subjective weighting
multiobjective optimization
