Research on Identification of Thermal Power Parameter of HVAC Based on Hybrid Genetic Algorithm
[Purposes]In response to the problem that existing methods for identifying thermal power pa-rameters in HVAC systems have small R-squared values that cannot meet the recognition accuracy re-quirements,this paper proposes a study on identifying thermal power parameters in HVAC systems based on a hybrid genetic algorithm.[Methods]Firstly,this paper performs precise integration to solve the multi degree of freedom dynamic vibration forward problem of HVAC thermal energy.Then,a hybrid genetic algorithm is used to establish the inverse problem objective function and complete the elite search.Finally,the identification of thermal power parameters for HVAC is completed using fluid net-work equations.[Findings]Through comparative experiments,it has been proven that the R-squared value obtained by the proposed method is closer to 1,indicating that the identification accuracy of the HVAC thermal power parameters is higher and the performance of the method is more ideal.[Conclu-sions]This method can provide a more reliable foundation and basis for optimizing HVAC systems,en-ergy conservation and emission reduction,fault diagnosis,and intelligent control.
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