Swarm intelligence optimization method for dynamic hydraulic balance of chilled water pipe network of central air conditioner

Abstract

The invention discloses a swarm intelligence optimization method for dynamic hydraulic balance of a chilled water pipe network of a central air conditioner. The method is characterized in that intelligent computing nodes CPNs are set in air conditioning cabinets, bypass valves and water pump equipment in the chilled water pipe network; all the intelligent computing nodes CPNs are interconnected according to an actual physical topological connection relationship to form a network communication system of a swarm intelligence architecture; corresponding distributed computation is completed according to the adjustment task, and finally the dynamic hydraulic balance of the chilled water pipe network is achieved with the minimum system total power; the intelligent computing nodes CPNs of the airconditioning cabinets compute through information interaction to obtain the minimum system water supply and return pressure difference and the total flow meeting the flow requirements of all the airconditioning cabinets at the tail end of the system, and compute to obtain the opening degrees of water valves of surface air coolers of the air conditioning cabinets; and the intelligent calculatingnodes CPNs of water pumps compute to obtain an optimal operation strategy of a parallel water pump system according to the obtained system water supply and return pressure difference and the total flow requirement, and finally the purposes of the optimization of the dynamic hydraulic balance of the chilled water pipe network, the energy conservation and the consumption reduction are achieved.

Description

technical field [0001] The invention belongs to the technical field of air-conditioning and refrigeration, and in particular relates to a group intelligence optimization method for dynamic hydraulic balance of a central air-conditioning chilled water pipe network. Background technique [0002] The energy consumption of the central air-conditioning system has always accounted for a large proportion of the building energy consumption, so it is of great significance to conduct energy-saving optimization research on the central air-conditioning system. [0003] At present, in the design process of the central air-conditioning system, the terminal load is calculated according to the maximum load of the building; when the equipment is selected, the performance parameters are also determined according to the design flow, and the designer considers the system margin. The safety factor of the equipment is artificially increased; in addition, the equipment model is discrete and change...

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Problems solved by technology

[0003] At present, in the design process of the central air-conditioning system, the terminal load is calculated according to the maximum load of the building; when the equipment is selected, the performance parameters are also determined according to the design flow, and the designer considers the system margin. The safety factor of the equipment is artificially increased; in addition, the equipment model is discrete and changes discontinuously. When the calculated performance parameters are between the two models, the designer often chooses a larger model of equipment, resulting in The selection is too large; and when the system is running, affected by changes in external factors such

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