A Research For Distributed Optimal Algorithm For HVAC And Software Development

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.