A method for optimizing the operation of intelligent building air-conditioning and cooling systems based on pso-elm algorithm

Abstract

The invention relates to the technical field of air-conditioning energy saving, and discloses a method for optimizing the operation of an intelligent building air-conditioning refrigerator system based on the PSO-ELM algorithm. The data are the adjustable parameters and process variable values ​​of the air-conditioning system. The adjustable parameters are used as parameters to be optimized, and the energy efficiency data of the air-conditioning chiller is obtained after data processing of the process variable values, and used as the predicted output value; S2: the data set is processed Divide into training set and test set; S3: The ELM prediction algorithm module predicts the intermediate value in the subsequent energy efficiency model. The main hyperparameters that need to be determined in the model are w, b, and β, where w and b are obtained through the S3 model OK, β is determined by training the dataset. The present invention can quickly and efficiently obtain the optimal parameter combination of the system, and further improve system efficiency and reduce energy consumption under the premise of ensuring cooling demand.

Description

technical field [0001] The invention relates to the technical field of air-conditioning energy saving, in particular to an operation optimization method for an intelligent building air-conditioning refrigerator system based on a PSO-ELM algorithm. Background technique [0002] With the rapid development of society, buildings have become the basic places for people to live and work, and the energy consumed by buildings accounts for 36% of the total energy consumption of society, and the air conditioning system accounts for more than 50% of the energy consumed by buildings. Therefore, improving the performance of the air conditioning system and reducing energy consumption is an important part of the construction of smart cities today. The air-conditioning system is a large-scale system distributed in time and space. Improper control strategies in actual engineering will cause problems such as low system operation efficiency, energy waste, and high operating costs. Therefore, ...

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Problems solved by technology

[0009] The embodiment of the present application provides a PSO-ELM algorithm-based operation optimization method for an intelligent building air-conditioning chiller system, which solves the problem that the experience-based manual parameter adjustment method in the prior art is not efficient, and due to differences between systems, The optimization parameters are not comprehensive. Most of the methods are based on the technical problems of the system's own adjustment parameters as the optimization parameters, which realizes the fast and efficient acquisition of the optimal parameter combination of the system, and then improves the system efficiency and reduces the energy consumption under the premise of ensuring the cooling demand. The purpose of consumption is to provide an intelligent building air-conditioning chiller system operation optimization method based on PSO-ELM algorithm

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