Energy Efficiency Optimization of Central Air Conditioning Based on Multiple Genetic Algorithms
In order to improve the energy efficiency ratio of central air conditioning refrigeration system and realize the optimal energy efficiency ratio under different working conditions,an energy efficiency ratio optimization method of central air conditioning refrigeration system based on multiple genetic algorithm is proposed.The method through the gray correlation analysis screening the key operating parameters of central air conditioning efficiency ratio,using neural network to establish the key operating parameters and energy efficiency ratio prediction model,through the Apriori association rules between key parameters correlation rules,the prediction model as multiple genetic algorithm fitness function,association rules as a genetic algorithm chromosome constraints.Multiple genetic algorithm and traditional genetic algorithm were used to optimize the energy efficiency ratio respectively.The results showed that the energy efficiency ratio of multiple genetic algorithm was improved by more than 4.51％compared with the traditional genetic algorithm,and the optimization effect was obvious.
central air conditioningenergy efficiency optimizationassociation rulesmultiple genetic algorithm
万方数据
维普
