基于典型日逐时负荷的分布式能源站制冷、制热设备容量优化

Optimization of Chiller and Heating Capacity Allocation for Distributed Energy Station Based on Typical Day Hourly Load

基于供能项目典型日逐时冷、热负荷特性,搭建分布式能源系统多种不同类型制冷、制热主机及蓄能容量优化分配的数学模型,设定合理的目标函数以及约束条件,采用单纯形算法求解优化模型。以全寿命周期费用作为系统评价指标,探讨了分布式能源中心多种类型制冷、制热主机及蓄能的最优装机容量配置。该方法有利于降低分布式能源系统的投资,提高各设备的使用率和运行经济性。以北京某办公商业综合体分布式能源中心为例,分别探讨了市政电力价格及天然气价格变化对该项目的制冷、制热主机及蓄能容量优化分配的影响,为分布式能源系统的合理配置选型提供理论参考依据。

Based on the typical day hourly cooling and heating load of a project,the optimization mathematical model for chiller,heating and energy storage capacity allocation of the distributed energy system is modeled.The reasonable objective function and constraint conditions are given,and the simplex algorithm is used to solve the optimization mathematical model.The life cycle initial investment and operation cost are served as the evaluation index,and the optimal capacity ratio of the chiller,heating and energy storage of the distributed energy system are discussed.The proposed method can decrease the investment,improve the utilization rate of equipment and operation economy of distributed energy system.For a distributed energy center of the office commercial complex in Beijing,the influences of electricity and natural gas price fluctuation on the chiller,heating and energy storage capacity allocation are studied,which provides a theoretical basis for the rational allocation and selection of distributed energy system.