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建筑空调系统能耗监测动态分析模型与优化控制方法
引用本文:彭云建,邓飞其,邱佰平.建筑空调系统能耗监测动态分析模型与优化控制方法[J].五邑大学学报(自然科学版),2012(1):37-42.
作者姓名:彭云建  邓飞其  邱佰平
作者单位:[1]华南理工大学自动化科学与工程学院,广东广州510641 [2]深圳达实智能股份有限公司,广东深圳518057
摘    要:针对大型建筑空调系统能耗监测与能效优化控制问题,通过分析建筑物与外界环境的能量交换、室内温变过程的动态特征和变化机理,考虑随机不确定性因素的影响,建立了以温度、湿度等为变量的建筑物空调能耗过程随机动态模型,分析了建筑物空调能耗与室内外环境热交换的平衡制约关系.以建筑物舒适度指标作为能耗控制目标,建立空调能耗最小的优化控制模型,分析了系统优化途径;根据建筑物实际监测数据,应用动态回归方法探讨了如何确定建筑空调能耗模型的结构与参数,通过实际数据分析与模拟仿真结果的比较验证了模型的正确性.

关 键 词:建筑空调系统  能耗监测  能效优化控制  随机动态模型

A Dynamic Analysis Model and an Optimal Control Method for Monitoring Energy-consumption of Air-conditioning Systems in Large Buildings
PENG Yun-Jian,DENG Fei-Qi,QIU Bai-ping.A Dynamic Analysis Model and an Optimal Control Method for Monitoring Energy-consumption of Air-conditioning Systems in Large Buildings[J].Journal of Wuyi University(Natural Science Edition),2012(1):37-42.
Authors:PENG Yun-Jian  DENG Fei-Qi  QIU Bai-ping
Institution:1. College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China; 2. Shenzhen Dashi Intelligence Tech. Co. Ltd., Shenzhen 518057, China)
Abstract:The paper explores problems on monitoring energy-consumption of air-conditioning systems in large buildings and the optimal control of energy-consumption efficiency. By probing into dynamic characteristics and mechanism of heat exchange between buildings and their environment, indoor temperature variation and the like, and also taking into account the effect of uncertain factors in the dynamic process, the paper proposes a stochastic dynamic model for energy consuming systems. The model takes indoor air temperature and humidity inside buildings as variables in describing equations, which offer quantitative analysis of equilibrium and constraint relationship between air-conditioning systems' energy-consumption and heat exchange. Secondly, comfort level in buildings is selected as optimization index of control scheme, and an optimal control model and the strategy for minimizing energy-consumption are suggested. Lastly, with data collected by buildings monitoring systems, the paper discusses how to decide structures and parameters of theair-conditioning systems' energy-consuming model based on a dynamic regression method, and verifies the model's validity by running data analysis and comparison of simulation results.
Keywords:air-conditioning systems in buildings  energy-consumption monitoring  optimal control ofenergy-consumption's efficiency  stochastic dynamic model
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