Energy-saving optimisation design of commercial building envelope based on quantum genetic algorithm

As the main structure affecting the energy consumption of commercial buildings, the envelope structure currently faces the problem of insufficiently precise energy-saving optimization and renovation strategies. Therefore, the research combines the dynamic adjustment of quantum rotation angles to improve the traditional quantum genetic algorithm. Apply this algorithm to the optimal design of the enclosure structure. Without considering the issue of artificial lighting, determine the best renovation materials to achieve energy-saving design. The experimental results show that the improved algorithm can find the global optimal solution more quickly by dynamically adjusting the quantum rotation angle. In addition, during the exterior wall renovation, internal insulation measures can effectively reduce the k value of the exterior wall. In terms of material selection, rigid foam polyester-ammonia composite board is the most effective. In the renovation of the external Windows, the best energy-saving effect was achieved by using a 50% window-to-wall ratio and 6 mm + 12 air + 6 mm low-E double-layer PA thermal break aluminum alloy glass Windows. The proposed renovation structure in the research can effectively transform the maintenance structure and enhance the energy-saving performance of the building.