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分布式能源系统具有良好的经济性和环保性。为了能够更好地发挥其高能源利用率和节能减排的优势,建立针对分布式能源系统的经济效益和环境效益的多目标优化模型,并采用改进型遗传算法对系统的设备容量进行优化设计。以北方地区某大楼为例,以传统的分供系统为参照对象,得到最优的配置方案。优化结果表明,分布式能源系统的综合性能要优于分供系统。
Distributed energy systems have good economy and environmental protection. In order to give full play to its high energy efficiency and the advantages of energy saving and emission reduction, a multi-objective optimization model for the economic benefits and environmental benefits of distributed energy systems is established and an optimized genetic algorithm is used to optimize the equipment capacity of the system . Taking a building in the north as an example, taking the traditional sub-supply system as a reference object, the optimal configuration solution is obtained. The optimization results show that the overall performance of distributed energy system is better than the sub-system.