期刊文献+

办公建筑空间布局类型的低碳设计研究 被引量:3

Low Carbon Design Research on the Space Layout Types of Office Building
下载PDF
导出
摘要 明确空间布局与低碳设计的关联性有利于在方案设计中整体降低建筑的碳排放。通过建筑性能模拟,分析比较上海地区不同空间布局类型的办公建筑的体形系数、全年单位采暖制冷能耗、全年单位碳排放置以及采光性能等指标。研究还从不同空间布局类型的形态特征出发,分析并提出了针对每种空间布局类型办公建筑的低碳设计策略。提出应根据具体的建筑空间总体布局形态,有针对性地采用被动式和主动式设计策略,做到扬长避短,以期最大程度降低建筑碳排放。 ABSTRACT It is beneficial to find out the relationship between spatial layout and low-carbon design in order to reduce buildings' carbon emissions in the conceptual design phase. This paper analyzes and compares shape coefficient values, annual energy consumption and lighting performance of office buildings of different space layout types in Shanghai. Based on morphological characteristics of different types, this study also analyzes and presents low- carbon design strategies for each single type. The study assumes that architects should conduct passive and active design according to the specific building space layout, so as to make best use of the advantages and bypassing the disadvantages, and maximally reduce buildings' carbon emissions.
作者 夏冰
出处 《新建筑》 2017年第4期92-95,共4页 New Architecture
基金 中央高校基本科研业务费专项资金资助项目(2017QNA4019)
关键词 低碳设计 办公建筑 空间布局类型 low-carbon design, office building, type of space layout
  • 相关文献

参考文献2

二级参考文献11

  • 1曾旭东,赵昂.基于BIM技术的建筑节能设计应用研究[J].重庆建筑大学学报,2006,28(2):33-35. 被引量:79
  • 2Aound G, Lee A, Wu S. The Utilisation of Building Information Models in nD Modeling: A Study of Data Interfacing and Adoption Barriers. http://www.itcon. org/2005/08/, 2005-04-15.
  • 3Ramesh T, Prakash R, Shukla K. Life Cycle Energy Analysis of Buildings: An Overview[J]. Energy and Buildings, 2010, 42(10): 1592-1600.
  • 4Bosche F, Haas C T. Automated Retrieval of 3D CAD Model Objects in Construction Range Images[J]. Automation in Construction, 2008, 17(4): 499-512.
  • 5Milne M, Kohut T. Eliminating Air Conditioners in New Southern California Housing[C]//Proceedings of the American Solar Energy Society. Phoenix AZ, 2010: 3528-3536.
  • 6Kalay Y E. Performance-Based Design[J]. Automation in Construction, 1999, 8(4): 395-409.
  • 7Leinartas H A. Optimization of Whole House Retrofit Packages for Targeting 50% Annual Energy Use Reductions in Pre-1978 Chicagoland Homes[D]. Chicago: Illinois Institute of Technology, 2014.
  • 8Lin S H, Gerber D J. Evolutionary Energy Performance Feedback for Design: Multidisciplinary Design Optimization and Performance Boundaries for Design Decision Support[J]. Energy and Buildings, 2014, 84(12): 426-441.
  • 9Gursel I. CLIP: Computational Support for Lifecycle Integral Building Performance Assessment[D]. Delft: Delft University of Technology, 2010.
  • 10吴硕贤.重视发展现代建筑技术科学[J].建筑学报,2009(3):1-3. 被引量:17

共引文献35

同被引文献17

二级引证文献6

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