计及环境成本的含储能冷热电联供系统多目标优化和运行策略研究
摘要:冷热电联供(combined cooling, heating and power, CCHP)系统能够同时满足用户冷热电负荷需求，实现热量梯级利用和能量高效供给。但CCHP系统内部能量耦合程度高，各种能量间相互影响，为CCHP系统的容量配置和能量高效供给带来挑战。为此，建立了含储能和可再生能源的CCHP系统，提出2种余热优先利用运行策略，采用多目标遗传算法对系统设备容量进行优化确定，并对各类运行指标进行分析。结果表明：运行策略二(回收余热优先供热)的“3E”综合指标为0.344高于运行策略一(回收余热优先制冷)；运行策略二的年值节约率为4.5%经济性优于运行策略一；运行策略二的各类污染物减排率均高于运行策略一，表现出良好的环境效益。
Abstract：Combined cooling, heating and power (CCHP) system can meet the user's demand for cold and hot power load at the same time, and can realize heat cascade utilization and efficient energy supply. However, the internal energy coupling degree of CCHP system is high, and various energies affect each other, which brings challenges to the capacity configuration and efficient energy supply of CCHP system. Therefore, a CCHP system with energy storage and renewable energy technology is established, two operation strategies for preferential utilization of waste heat are proposed, and the multi-objective genetic algorithm is used to optimize and determine the capacity of the system equipment, and various operating indicators are analyzed. The results show that the "3E" comprehensive index of operation strategy 2 (recovery of waste heat priority heat supply) is 0.344, which is higher than that of operation strategy 1 (recovery of waste heat priority cooling), and the annual value saving rate of operation strategy 2 is 4.5%, which is better than that of operation strategy 1. The emission reduction rate of various pollutants in operation strategy 2 is higher than that of operation strategy 1, showing good environmental benefits.
标题：计及环境成本的含储能冷热电联供系统多目标优化和运行策略研究
title:Research on Multi-Objective Optimization and Operation Strategy of Combined Cold, Heat and Power System With Energy Storage Considering Environmental Cost
作者：陶鸿俊,周志贵,谢婧怡,王奕钦,杨静茹
authors:TAO Hongjun,ZHOU Zhigui,XIE Jingyi,WANG Yiqin,YANG Jingru
关键词：冷热电联供(CCHP)系统,储能技术,多目标优化,遗传算法,运行策略,可再生能源,
keywords:combined cooling, heating and power (CCHP) system,energy storage technology,multi-objective optimization,genetic algorithm,operation strategy,renewable energy utilization,
发表日期：2023-07-26
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