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作 者:冯泽 胡远洋 杨兴舟 李舒宏[2] 刘守超 陈诚 Feng Ze;Hu Yuanyang;Yang Xingzhou;Li Shuhong;Liu Shouchao;Chen Cheng(Guangzhou Metro Construction Management Co.,Ltd.;School of Energy and Environment,Southeast University;Nanjing Fuca Automation Technology Co.,Ltd.)
机构地区:[1]广州地铁建设管理有限公司 [2]东南大学能源与环境学院 [3]南京福加自动化科技有限公司
出 处:《制冷与空调》2025年第3期16-21,26,共7页Refrigeration and Air-Conditioning
摘 要:空调系统功耗占建筑能耗的比重较大且存在节能空间,目前对空调系统的优化控制研究多侧重于局部设备控制,且控制并未考虑冷负荷的分配。本文以某地铁车站空调系统实测数据为基础,拟合该系统主要部件的功耗模型,并基于能量守恒和质量守恒得到全局功耗模型。验证模型预测精度后,利用花授粉算法,分析不同控制策略对系统节能的影响。结果表明,模型具有良好的预测精度,各设备功耗预测的R^(2)均大于0.95,MAPE均小于10%,一周内系统总功耗的预测值相对误差为6.81%;将冷负荷引入参数控制后,相比原控制策略和不引入冷负荷控制的控制策略,分别节能8.11%和4.08%。The air-conditioning system power consumption constitutes a significant portion of building energyconsumption,offering substantialpotential for energy-saving.Existing research on the optimal control of air-conditioning systems primarily fo-cuses on local equipment control,neglecting the distribution of cooling load.Based on the measured data of the air-conditioning system in one subway station,the power consump-tion models of main components in the system are fitted,and a overall power consumption model is derived based on the energy conservation and mass conservation.After verifying the model prediction accuracy,the influence of various regulation strategies on system en-ergy-savings is analyzed using the flower pollination algorithm.The results demonstrate that the established power consumption model has high prediction accuracy.The R^(2) values for power consumption predictions of each device are all above 0.95,with MAPE values below 10%.The system’s total power consumption prediction over one week has a relative error of 6.81%.Additionally,incorporating cooling load into parameter control model,compared with the original control strategy and the control strategy without cool-ing load regulation,the energy-saving rates can reach 8.11%and 4.08%respectively.
关 键 词:空调 冷水机组 功耗模型 节能 控制 花授粉算法
分 类 号:TB663[一般工业技术—制冷工程] TU831[建筑科学—供热、供燃气、通风及空调工程]
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