Research on energy consumption control method for the life cycle of public green buildings based on multi objective optimization

In the operation process of public green buildings, traditional optimization algorithms require a lot of time and computational resources to solve complex models, and may even get stuck in local optimal solutions, unable to find the global optimal solution, resulting in high energy consumption costs. Therefore, a multi-objective optimization based energy consumption control method for the lifecycle of public green buildings is proposed. Firstly, an optimization model for energy consumption control throughout the entire lifecycle of public green buildings was developed with the goal of maximizing energy efficiency and minimizing incremental costs. During the operation of public green buildings, it helps to reduce energy consumption and minimize the impact on the environment. Then, set constraints such as enclosure structure, air conditioning and heating system, roof structure, and maximum incremental cost. Finally, the improved genetic algorithm is used to solve the constructed model and output the optimization results of energy consumption control throughout the entire lifecycle of public green buildings. The experimental results show that the proposed method reduces the cost by 29.5%; The maximum carbon emission reduction reaches 29%, significantly higher than the comparative method, which can meet the energy consumption control requirements of the entire lifecycle of public green buildings.