Integrated Intelligent Energy ›› 2024, Vol. 46 ›› Issue (12): 81-90.doi: 10.3969/j.issn.2097-0706.2024.12.010

• Optimal Operation and Control • Previous Articles    

Research on multi-objective optimization of envelope structures for nearly zero-energy buildings in Northwest China

ZHEN Xiaofei1,2(), LI Shang'e3, ZHANG Yongheng1,2, JIAO Ruonan1, WU Wenbing1   

  1. 1. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
    2. Key Laboratory of Railway Vehicle Thermal Engineering, Ministry of Education, Lanzhou 730070, China
    3. School of Mechanical and Electrical Engineering, Xi'an Traffic Engineering Institute, Xi'an 710300, China
  • Received:2024-10-10 Revised:2024-11-04 Published:2024-12-25
  • Supported by:
    National Natural Science Foundation of China(52206255)

Abstract:

To address the high investment costs of nearly zero-energy buildings (nZEBs) and the uneven construction quality of such buildings in Northwest China, an existing nZEB is selected as the research subject. By comprehensively considering multiple building performance indicators, including energy consumption, cost, carbon emissions, and indoor comfort, an optimization of the envelope structure was conducted. This was achieved through a combination of experimental research and TRNSYS simulation. The optimization process evaluated multiple performance metrics, including energy consumption, cost, carbon emissions, and indoor comfort. The results indicated that under the optimal envelope configuration—where the insulation materials for the ceiling and external walls were polystyrene board and polyurethane, and the insulation layer thicknesses for external walls and ceilings were 100 mm and 110 mm, respectively, with window-to-wall ratios of 0.05, 0.28, and 0.30 for the west, south, and north walls, and an external window shading coefficient of 0.38—the building cost decreased by 9.8% compared to the original design. Meanwhile, improvements were observed in carbon emissions(9.7%), energy consumption(12.1%), and predicted mean vote(10.3%), with the predicted percentage dissatisfied reduced by 28.4%. These findings enhance the comprehensive performance of the building.

Key words: Northwest China, nearly zero-energy buildings, envelope structures, carbon emissions, PMV, PPD, multi-objective optimization

CLC Number: