【作者】 刘瑛祺；

【导师】 李树江；

【作者基本信息】 沈阳工业大学 ， 控制理论与控制工程， 2009， 硕士

【摘要】 随着暖通空调日益普及,暖通空调系统的能量消耗一般占整个建筑耗电量的50%以上,但目前实际情况:绝大多数空调处在低效下运行,能源浪费严重。造成这种现象的主要原因是由于空调系统一般都按一定的环境条件和最大负荷计算,同时现有的暖通空调控制系统都是采用定工作点和定控制器参数设计,因此在线优化暖通空调控制系统的工作点,是实现暖通空调系统的能耗的关键问题。暖通空调系统是由几台压缩机和几十台空气处理机及几百台空气末端装置构成,这些特性各异的设备通过风系统、冷媒系统和水系统关联耦合在一起,针对暖通空调系统的多参数、非线性、多耦合复杂系统,本文通过分析HVAC系统的运行工艺过程和各环节设备的能耗特点,提出了不需要建立系统层次模型的分布式协同优化结构及协同策略,将HVAC(Heating Ventilation and Air Conditioning)系统分解到二级层次,即相对独立的几个子系统,利用子系统间的耦合关系来完成整个系统的全局协同优化。在此基础上,同时针对目前HVAC主流控制系统,开发了系统优化控制软件包。通过详细分析了HVAC控制系统运行特点,提出了基于VC++和SQLserver2000的开发的方案,并对软件内涉及到的多任务计算,利用了多线程技术解决了协同优化算法的并行计算问题,并通过内存映射文件技术解决了多程间的通讯和协同优化算法大量中间数据的复杂运算问题。通过实验室的HVAC装置取得实际数据验证,结果表明,软件基本功能设计完备,程序结构设计合理,运行稳定。在进行设定点优化时,通过分析加入协同策略和定工作点两种方法得到的曲线图,验证了协同优化算法对HVAC系统全局优化是高效的。更多还原

【Abstract】 With gradual popularization of heating ventilating air conditioning (HVAC), energy consumption of HVAC commonly occupies more than 50 percent of energy consumption of the whole building. In fact, a majority of HVAC systems inefficiently runs, and wastes a mass of energy. The reason of the phenomenon is that loads of HVAC are calculated according to the most loads and some environment, and it adopts invariable working point and parameters of controller to devise the whole HVAC system. so, the set point of HVAC control system is optimized by Online is the key issue that HVAC system is to achieve the reduction of energy consumption.HVAC system is composed of several Compressors and dozens of air handler devices and hundreds of air-terminal devices,these devices which have different characteristics are associated with air system, Refrigerant system and water system. HVAC system is a complex system of multi-parameter, nonlinear,multi-coupling.In this paper,by analyzing the operation of HVAC system and energy consumption characteristics of various aspects of process equipment, it bring up not to set up system-level model of distrubuted collaborative structure and coordinated strategy,HVAC system will break down into secondary level. The global collaborative optimization of the whole system will be completed by coupling relations between subsystems. On this basic,at the same time, for the current popular HVAC control system, developed a system optimization control package.Through a detail analysis of operating characteristics of HVAC control system, development plan was proposed development plan according to VC++6.0 and SQL SERVER 2000, the problem to calculation of multi-tasking is solved by multi-threading technology which realized parallel computing of collaborative optimization algorithm. As a result , collaborative optimization calculation has amount of central data,it leads to computing complexity,wo have solved this problem by memory-mapped file technology. Through actual data to verify,the results show that the software basic function is perfected,program structure was reasonable designed,stable operation. when carrying out set-point optimization,experiments show collaborative optimization algorithm is better than fixed set-point operation mode.更多还原