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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.
In view of the weak scalability of the optimization method of gas cogeneration system, the selection of weight factors of the objective function is one-sided. The negative ideal point method is adopted to optimize the system and introduce subjective and objective weighting methods to determine the weight factor of the objective function , Objective weighting adopts entropy weight method constructed by information entropy.According to gas internal combustion engine as the core, the system is configured and a mathematical model is established, and the method is applied to the engineering example.The results show that the co-generation system adopts the negative subjective and objective weights After optimization, the optimal point method saves 1.446 million yuan per year compared with the traditional sub-supply system, with a primary energy utilization rate of 15.2% and an annual reduction of 2,800.8 tons of carbon dioxide emissions, which shows its good coordination with other optimization methods And rationality.