Optimization of Insulation Layer Thickness Crucial for Energy-Efficient Building Design

Research conducted in Xi'an, China, has highlighted the significance of optimizing insulation layer thickness for energy-efficient building design. Funded by several prestigious organizations, including the China Postdoctoral Science Foundation and the National Natural Science Foundation of China, the study aimed to determine the optimal thickness of seven building insulation materials under various conditions. The researchers selected ten typical cities in five thermal zones and analyzed the external thermal insulation of a residential building using the degree day method and the economic model of full life cycle cost analysis.

Key Takeaways:

  • The study found that the optimal thickness of seven building insulation materials in ten typical cities under three working conditions ranges from 18.21-346.05 mm.
  • The carbon emission change rate of these materials is between -2.7% and 38.6%, with an energy saving change rate of between -0.4% and 18.4%.
  • The payback period growth of materials under different working conditions is within 1.5 years.
  • Among the seven materials analyzed, polystyrene foam is the least affected by humidity and is recommended for use in high-humidity areas.
  • The researchers used the degree day method and the economic model of full life cycle cost analysis to determine the optimal insulation layer thickness.
  • The study was conducted in ten typical cities in five thermal zones, with a focus on residential buildings.
  • The research was led by Wen Yang of the State Key Laboratory of Green Building in Western China, Xi'an University of Architecture and Technology.

Statistics:

  • Optimal thickness of seven building insulation materials: 18.21-346.05 mm.
  • Carbon emission change rate: -2.7% to 38.6%.
  • Energy saving change rate: -0.4% to 18.4%.
  • Payback period growth: within 1.5 years.
  • Number of typical cities in five thermal zones: 10.

Sources:

  • "The Effect of Relative Humidity Dependent Thermal Conductivity on Building Insulation Layer Thickness Optimization." Buildings, vol. 12, no. 1864, 2022, pp. 1864.
  • https://doi-org.sdpl.idm.oclc.org/10.3390/buildings12111864
  • MDPI AG, publisher of Buildings
  • Wen Yang, State Key Laboratory of Green Building in Western China, Xi'an University of Architecture and Technology
  • Guanjie Zhang, Wenfang He, Jiaping Liu, additional authors of the research study.