期刊文献+

既有居住建筑围护结构节能改造热工性能优化 被引量:16

Thermal Properties Optimization of Envelope in Energy-saving Renovation of Existing Residential Building
下载PDF
导出
摘要 既有建筑物窗墙比差异较大,在节能改造过程中窗墙比和窗的热工性能对保温层厚度的影响不可忽视。在《严寒和寒冷地区居住建筑节能设计标准》围护结构节能设计规定的基础上,提出围护结构等效传热系数限值,综合考虑朝向、窗墙比、窗户的类型等因素,建立了外墙保温层厚度计算模型和围护结构热工性能参数优化模型,并以徐州地区某既有住宅为例,验证了模型的可行性。 The impact of windows to wall ratio and thermodynamic performance of windows on the insulating layer thickness cannot be neglected in existent residential building energy-saving renovation because of the bigger difference of windows to wall ratio. The limited equivalent coefficient of envelope heat transfer was posed based on "Design standard for energy efficiency of residential buildings in severe cold and cold zones". Factors of orientation, windows to wall ratio and windows types should be comprehensively considered in building calculation model of thermal insulation thickness of external wall and envelope thermodynamic performance optimization model. These models are validated by an existing residential building in Xuzhou.
出处 《土木建筑与环境工程》 CSCD 北大核心 2013年第5期118-124,共7页 Journal of Civil,Architectural & Environment Engineering
基金 江苏省"六大人才高峰"资助项目(2010-JZ-006)
关键词 既有居住建筑 围护结构 节能改造 热工性能 优化 existing residential building building envelopes energy-saving renovation thermal propertiesoptimization
  • 相关文献

参考文献34

  • 1Kaynakli O. A review of the economical and optimum thermal insulation thickness for building applications[J]. Renewable and Sustainable Energy Reviews, 2012,16: 415-425.
  • 2Al-Khawaja MJ. Determination and selecting the optimum thickness of insulation for buildings in hot countries by accounting for solar radiation[J]. Applied Thermal Engineering, 2004,24: 2601-2610.
  • 3Mahlia T M I, Iqbal A. Cost benefits analysis and emission reductions of optimum thickness and air gaps for selected insulation materials for building walls in Maldives[J]. Energy, 2010,35: 2242-2250.
  • 4Sisman N, Kahya E, Aras N, et al. Determination of optimum insulation thicknesses of the external walls and roof (ceiling) for Turkey's different degree-day regions[J]. Energy Policy, 2007,35: 5151-5155.
  • 5Tosun M, Dincer K. Modelling of a thermal insulation system based on the coldest temperature conditions by using artificial neural networks to determine performance of building for wall types in Turkey[J]. InternationalJournal of Refrigeration, 2011, 34: 362- 373.
  • 6Arslan 0, Kose R. Thermoeconomic optimization of insulation thickness considering condensed vapor in buildings[J]. Energy and Buildings, 2006, 38: 1400- 1408.
  • 7Ucar A. Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey[J]. Energy, 2010,35: 1854-1864.
  • 8Al-Sanea S A, Zedan M F, Al-Ajlan S A. Effect of electricity tariff on the optimum insulation-thickness in building walls as determined by a dynamic heat-transfer model[J]. Applied Energy, 2005,82: 313-330.
  • 9Daouas N, Hassen Z, Aissia H B. Analytical periodic solution for the study of thermal performance and optimum insulation thickness of building walls in Tunisia[J]. Applied Thermal Engineering, 2010, 30 : 319-326.
  • 10Daouas N. A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads[J]. Applied Energy, 2011,88: 156- 164.

二级参考文献47

共引文献88

同被引文献118

引证文献16

二级引证文献57

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部