Energy-saving Optimization Design of Multi-Story Office Buildings Based on Genetic Ant Colony Hybrid Algorithm
To solve the energy-saving optimization problem in building engineering design,the supporting infrastructure of the Science and Technology Innovation Industrial Park in Nanping Industrial Park,Fujian Province,No.1 Office Building,was taken as the research object.The genetic ant colony hybrid algorithm was used to calculate and analyze the iterative process of building energy consumption and the dynamic change process of building energy consumption within one refrigeration cycle.The results show that in solving the objective function of building energy consumption,the genetic ant colony hybrid algorithm has the highest efficiency,followed by the genetic algorithm,and the ant colony algorithm has the lowest efficiency,with good convergence and global search ability;The optimization results of building energy consumption obtained by different algorithms are also different.The optimization results of building energy consumption decrease in order of ant colony algorithm,genetic algorithm,and genetic ant colony hybrid algorithm;Based on the genetic ant colony hybrid algorithm,it is shown that the building energy consumption of Model A is stable at 2274kWh,while that of Model B is stable at 2240kWh.Compared to Model A,Model B has lower energy consumption within one refrigeration cycle,thus,Model B has more advantages in energy conservation.
genetic algorithmant colony algorithmmulti story office buildingenergy-saving optimizationthermodynamics
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