中央空调系统节能运行控制方法研究
发布时间：2018-07-21 17:02
【摘要】：中央空调系统能耗在建筑能耗中占很大比例,目前大多数中央空调系统均按照建筑最大负荷进行设计,而系统在满负荷状态下运行的时间频数很小,因此本文针对中央空调系统在部分负荷下的节能运行控制方法进行了研究。本文结合南京市内某大型商场中央空调系统的节能改造工程,首先基于工程实测数据,采用机理与辨识相结合的回归分析方法建立了中央空调系统各主要设备的数学模型。通过分析系统各部件的节能运行特性,提出了多台冷水机组联合运行时的加减机和负荷分配优化策略、部分负荷下多台冷却塔优化运行模式以及不同控制方式下并联水泵的最佳运行方式。基于热交换效率法研究了变风量、变水量、变水温、变新风比等因素对末端表冷器热工性能的影响,为中央空调系统“量”调节和“质”调节提供了理论基础。在综合考虑室外露点温度和末端除湿要求的前提下,采用极限机器露点温度法,制订了供冷季节一次回风系统的冷冻水供水温度策略。通过分析室外湿球温度对冷却塔出水温度的影响,计算了冷却水系统在不同负荷率和不同室外湿球温度下的最优冷幅。在优化系统各设备运行模式的基础上以系统全局能耗最低为优化目标,以各控制变量的变化范围和各主要设备的换热过程为约束条件,采用非线性规划算法对夏季典型空调制冷日的中央空调系统运行参数进行了动态优化。基于Simulink仿真平台对中央空调系统运行能耗进行了动态仿真,验证了系统优化参数的准确性和可靠性,并进一步利用示波器模块观察了各变量对中央空调系统总能耗的影响。根据系统运运行模式和运行参数的优化结果提炼出了基于自适应模糊一PID控制的中央空调系统群控策略,并以实际工程为例,模拟计算了系统及其各部件在优化控制模式和常规运行模式下的功耗,研究表明,优化控制后系统在供冷季节的总节能率达10%左右。
[Abstract]:The energy consumption of the central air conditioning system accounts for a large proportion of the building energy consumption. At present, most central air conditioning systems are designed according to the maximum building load, and the time frequency of the system running under the condition of full load is very small. Therefore, the energy-saving operation control method of central air-conditioning system under partial load is studied in this paper. In this paper, combined with the energy saving renovation project of central air conditioning system in a large shopping mall in Nanjing, the mathematical model of the main equipment of central air conditioning system is established based on the measured data of the project and the regression analysis method combining the mechanism and identification. Based on the analysis of the energy-saving operation characteristics of various components of the system, the optimization strategy of adding and reducing machines and load distribution during the combined operation of several chillers is put forward. The optimal operation mode of several cooling towers under partial load and the optimal operation mode of parallel pumps under different control modes. Based on the method of heat exchange efficiency, the effects of variable air volume, variable water temperature and variable fresh air ratio on the thermal performance of the terminal surface cooler are studied, which provides a theoretical basis for the "quantity" and "quality" regulation of the central air conditioning system. On the premise of considering the outdoor dewpoint temperature and the dehumidification requirement of the end, the cold water supply temperature strategy of the primary return air system in the cooling season was formulated by using the dewpoint temperature method of the limit machine. By analyzing the influence of outdoor wet bulb temperature on the outlet temperature of cooling tower, the optimal cooling amplitude of cooling water system under different load rates and different outdoor wet bulb temperatures was calculated. On the basis of optimizing the operation mode of each equipment of the system, the minimum global energy consumption of the system is taken as the optimization objective, and the range of control variables and the heat transfer process of the main equipment are taken as the constraint conditions. A nonlinear programming algorithm is used to dynamically optimize the operating parameters of central air conditioning system on typical cooling days of air conditioning in summer. Based on Simulink simulation platform, the operation energy consumption of central air conditioning system is dynamically simulated, which verifies the accuracy and reliability of the system optimization parameters. Furthermore, the influence of various variables on the total energy consumption of central air conditioning system is observed by using oscilloscope module. According to the optimization results of system operation mode and operation parameters, a group control strategy of central air conditioning system based on adaptive fuzzy-PID control is extracted, and the actual project is taken as an example. The power consumption of the system and its components in the optimal control mode and the conventional operation mode are simulated and calculated. The results show that the total energy saving rate of the system in the cooling season is about 10% after the optimal control.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TU831
[Abstract]:The energy consumption of the central air conditioning system accounts for a large proportion of the building energy consumption. At present, most central air conditioning systems are designed according to the maximum building load, and the time frequency of the system running under the condition of full load is very small. Therefore, the energy-saving operation control method of central air-conditioning system under partial load is studied in this paper. In this paper, combined with the energy saving renovation project of central air conditioning system in a large shopping mall in Nanjing, the mathematical model of the main equipment of central air conditioning system is established based on the measured data of the project and the regression analysis method combining the mechanism and identification. Based on the analysis of the energy-saving operation characteristics of various components of the system, the optimization strategy of adding and reducing machines and load distribution during the combined operation of several chillers is put forward. The optimal operation mode of several cooling towers under partial load and the optimal operation mode of parallel pumps under different control modes. Based on the method of heat exchange efficiency, the effects of variable air volume, variable water temperature and variable fresh air ratio on the thermal performance of the terminal surface cooler are studied, which provides a theoretical basis for the "quantity" and "quality" regulation of the central air conditioning system. On the premise of considering the outdoor dewpoint temperature and the dehumidification requirement of the end, the cold water supply temperature strategy of the primary return air system in the cooling season was formulated by using the dewpoint temperature method of the limit machine. By analyzing the influence of outdoor wet bulb temperature on the outlet temperature of cooling tower, the optimal cooling amplitude of cooling water system under different load rates and different outdoor wet bulb temperatures was calculated. On the basis of optimizing the operation mode of each equipment of the system, the minimum global energy consumption of the system is taken as the optimization objective, and the range of control variables and the heat transfer process of the main equipment are taken as the constraint conditions. A nonlinear programming algorithm is used to dynamically optimize the operating parameters of central air conditioning system on typical cooling days of air conditioning in summer. Based on Simulink simulation platform, the operation energy consumption of central air conditioning system is dynamically simulated, which verifies the accuracy and reliability of the system optimization parameters. Furthermore, the influence of various variables on the total energy consumption of central air conditioning system is observed by using oscilloscope module. According to the optimization results of system operation mode and operation parameters, a group control strategy of central air conditioning system based on adaptive fuzzy-PID control is extracted, and the actual project is taken as an example. The power consumption of the system and its components in the optimal control mode and the conventional operation mode are simulated and calculated. The results show that the total energy saving rate of the system in the cooling season is about 10% after the optimal control.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TU831
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相关期刊论文 前10条
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