基于运行数据的酒店建筑制冷系统能耗预测及节能分析  

Energy Consumption Prediction and Energy Saving Analysis for Hotel Building Cooling System Based on Operation Data

作　　者：王喜春 张靖 张春路[2] WANG Xichun;ZHANG Jing;ZHANG Chunlu(Shanghai DFYH Tech Services Co.,Ltd.,Shanghai 200060,China;School of Mechanical Engineering,Tongji University,Shanghai 201804,China)

机构地区：[1]上海东方延华节能技术服务股份有限公司,上海200060 [2]同济大学机械与能源工程学院,上海201804

出　　处：《制冷技术》2021年第3期82-86,共5页Chinese Journal of Refrigeration Technology

基　　金：国家重点研发计划(No.2019YFE0100300-21);上海市信息化发展专项资金(No.201901065)。

摘　　要：本文采用数值分析的方法,研究了上海某酒店制冷系统2018—2020年的运行数据,建立了制冷系统(包括制冷系统主机、冷冻水系统、冷却水系统、末端风盘等部分)能耗预测的多项式模型,模型拟合优度R~2为0.85,平均绝对百分比误差(MAPE)为5.9%;利用搭建的制冷系统能耗预测模型,调整冷水供水温度、冷冻水泵转速和冷却塔风机转速,基于给定策略表对制冷系统控制参数进行优化,可实现制冷系统运行节能。结果表明:该多项式模型可以很好地反映由策略调控造成的系统能耗变化,从而指导运行策略的制定,优化后的系统总体节能量可达11.7%。In this paper,using the method of numerical analysis,the operation data of a hotel in Shanghai from 2018 to 2020 are analyzed,and a polynomial model for energy consumption prediction(including the parts of the chiller,chilled water system,cooling water system and FCUs)is established.The goodness-of-fit R2 of the model is 0.85 and the mean absolute percentage error(MAPE)is 5.9%.The supply water temperature,the chilled water pump,and the cooling water pump are optimized based on the given strategy table to achieve the energy-saving.The results show that the polynomial model can well reflect the change of energy consumption caused by different operation strategies and guide the formulation of operation strategy.Meanwhile,historical operation strategies of this system are optimized,which can provide energy saving of 11.7%.

关 键 词：制冷系统 能耗预测 运行策略优化 酒店 

分 类 号：TB611[一般工业技术—制冷工程] TU111.195[建筑科学—建筑理论]