Collaborative Optimization And Control Strategy Of The GWHP Central Air-conditioning System

With the sustained and rapid development of national economy, the contradictionbetween supply and demand of energy becomes increasingly sharp. Under thebackground of high energy consumption of buildings, the ground water source heatpump (GWHP) system which has high coefficient of performance (COP) andenergy-efficient advantages of making full use of renewable low-grade energy has beenapplied widely. With the growing number of applying GWHP systems, many problemsare exposed. The most prominent problem is mismanaging the system so that the energyis wasted as a result of the system without a good working condition.The GWHP system is designed according to the maximum load of buildings, but inactual operational process, the system are usually loaded partly in the most of runningtimes. Because part load ratio (PLR) of each part of buildings is different, it is importantfor us to know how to coordinate the running status of energy-using equipmentsefficiently and reasonably as well as determine the optimal working point of systemoperation. It plays a vital role in saving energy and improving utilization of energy.On the basis of sample data and practical measured data, this thesis adopts themethod of parameter identification, in order to conduct mathematical modeling of themajor part in GWHP system and simulate the energy consumption characteristics ofenergy-using equipment in the system. Combined with in-building ratio of residents,this thesis discusses the impact of open-closed distribution of control valves onimpedance characteristic of user side pipe network. And then, by analyzing ofenergy-using equipment and seeking the collaborative relationship of each subsystem,mathematical description of collaborative optimization of system is established. Finally,the author uses the optimization algorithm to solve the problem of system collaborativeoptimization as well as gets the collaborative optimization results of GWHP system and the actual control strategy. Compared with other operation strategies, collaborativeoptimization control strategy has great energy-saving space.