一种考虑建筑物蓄热特性的分布式冷热电联供系统运行优化方法
摘要:建筑物蓄热特性在促进电热耦合系统中可再生能源的消纳，提升系统运行灵活性和经济性等方面潜力巨大。针对分布式冷热电联供系统中采用双管式热水供暖的建筑物，在分析散热器工作特性和建筑物耗热特性的基础上建立由供水温度和室外环境温度实时确定房间温度的建筑物蓄热特性模型；并对模型中的可变参数进行灵敏度分析，研究各参数发生微小扰动对室内温度的影响。在此基础上，进一步建立结合建筑物蓄热特性的分布式冷热电联供系统运行优化模型，以日运行费用最小为目标函数，综合考虑室温舒适性约束和供回水温度约束。算例结果表明，建筑物蓄热特性能起到负荷转移作用，在低电价时蓄热，高电价时放热，能有效提升系统运行的经济性和灵活性。
Abstract：The heat storage characteristics of buildings have great potential in promoting the absorption of renewable energy and improving the flexibility and economical efficiency of the combined heat and power system. In this paper, a building with double-tube hot water heating system in a distributed combined cooling, heating, and power (CCHP) system is studied. Based on the analysis of the performance of radiators and the heat consumption of buildings, the heat storage model of buildings is established, which determines the room temperature in real time from the temperatures of supplied water and outdoor environment. Sensitivity analysis of several variable parameters is conducted to investigate the influence of minor disturbance of a parameter on indoor temperature. On this basis, this paper further establishes an operational optimization model of a distributed CCHP system considering the heat storage characteristics of buildings, taking the minimum daily operating cost as the objective function, and the indoor temperature limits, the supply and return temperature limits as constraints. The simulation results show that the heat storage characteristics of buildings can transfer the load, charge the heat at low electricity price and discharge at high, effectively improving system's economical efficiency and flexibility.
标题：一种考虑建筑物蓄热特性的分布式冷热电联供系统运行优化方法
title:An Operational Optimization Method of Combined Cooling, Heating and Power System Considering Heat Storage Characteristics of Buildings
作者：姚帅, 顾伟, 陆帅, 吴晨雨, 潘光胜
authors:YAO Shuai,GU Wei,LU Shuai,WU Chenyu,PAN Guangsheng
关键词：冷热电联供,建筑物蓄热,房屋舒适度,灵敏度分析,运行优化,
keywords:combined cooling heating and power(CCHP),building heat storage,housing comfort,sensitivity analysis,operational optimization,
发表日期：2018-11-30
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