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A load distribution optimization configuration method for central air-conditioning refrigeration system

A technology for optimizing configuration and system load, applied in mechanical equipment and other directions, can solve problems such as restricting the development of central air conditioning systems, and achieve the effect of improving work efficiency and optimizing energy consumption

Active Publication Date: 2022-03-08
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the traditional centralized architecture restricts the development of central air-conditioning systems to a certain extent

Method used

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  • A load distribution optimization configuration method for central air-conditioning refrigeration system
  • A load distribution optimization configuration method for central air-conditioning refrigeration system
  • A load distribution optimization configuration method for central air-conditioning refrigeration system

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Embodiment 1

[0123] Taking a semiconductor factory in a science park as the research object, Case 1 is a parallel chiller system composed of three chillers with a cooling capacity of 800RT. The specific performance parameters of the three chillers are shown in Table 1. Assuming that the total demand on the user side is 40%, 50%, 60%, 70%, 80%, and 90% of the total cooling capacity, the analysis of the present invention constructs the following figure 1 The central air-conditioning distributed control system is shown, and ADMM-GBS optimization calculation is used to obtain a more optimal solution.

[0124] Table 1 Performance parameters of each equipment in the parallel chiller system

[0125]

[0126] In this embodiment, firstly, a mathematical model of chiller power is established according to the correspondence between the performance parameter COP of each chiller and the load rate PLR ​​of each host:

[0127] P chiller =a+b×PLR+c×PLR 2 +d×PLR 3

[0128] In the formula, a , b, ...

Embodiment 2

[0162] Taking a semiconductor factory in a science park as the research object, the parallel chiller system in Case 2 consists of four chillers with a cooling capacity of 1280RT and two chillers with a cooling capacity of 1250RT. In the case, due to long-term operation of each chiller, its design temperature, There are differences in the flow rates, resulting in different characteristic curves of the chillers. The specific performance parameters of the six chillers are shown in Table 3. Assuming that the total demand on the user side is 40%, 50%, 60%, 70%, 80%, and 90% of the total cooling capacity, the analysis of the present invention is constructed as figure 1 The central air-conditioning distributed control system is shown, and ADMM-GBS optimization calculation is used to obtain a more optimal solution.

[0163] Table 3 Performance parameters of each equipment in the six parallel chiller system

[0164]

[0165] In this embodiment, a mathematical model of chiller power...

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Abstract

The invention discloses a load distribution optimization configuration method of a central air-conditioning refrigeration system. A distributed controller is built in each refrigeration equipment in a central air-conditioning refrigeration station, and each refrigeration equipment is upgraded to an intelligent equipment. Form a distributed control system architecture for parallel chillers; each controller node is based on the end load requirements of the system, with the minimum total energy consumption of the parallel chiller system as the optimization goal, using the alternating direction multiplier distributed optimization method with Gaussian back-substitution to calculate The optimal load distribution strategy of the parallel chiller system is proposed; the chiller controller nodes initiate adjustment tasks in a certain order, and through information interaction with neighbor controllers, the autonomous coordinated adjustment operation of the parallel chiller system is realized, and finally a distributed framework is achieved. The purpose of optimizing the operation of the lower parallel chiller system and saving energy and reducing consumption.

Description

【Technical field】 [0001] The invention belongs to the technical field of air-conditioning and refrigeration, and in particular relates to a load distribution optimization configuration method of a central air-conditioning refrigeration system. 【Background technique】 [0002] As the cold source of large-scale public building central air-conditioning system, the multi-chiller system is a large energy consumer of the central air-conditioning system. The multi-chiller system is composed of chillers with different performance and capacity. Under the premise of meeting the load demand, the optimal combination of the partial load rate of each chiller can be obtained to make the air-conditioning system operate with the lowest energy consumption. Therefore, under different load demands, it is of great significance to solve the problem of optimal chiller load distribution to achieve system energy saving. [0003] Many optimization algorithms have been used to solve the chiller load d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F24F11/47F24F11/64F24F11/54
CPCF24F11/47F24F11/64F24F11/54
Inventor 于军琪陈时羽高之坤赵安军赵泽华张天伦王佳丽王福
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY