[1] Li En,. Analyses of influence of residential buildings’ space organizationon heating energy consumption in Lhasa [J]. Journal of Southeast University (English Edition), 2017, 33 (4): 457-465. [doi:10.3969/j.issn.1003-7985.2017.04.011]

Copy

Analyses of influence of residential buildings’ space organizationon heating energy consumption in Lhasa()

拉萨居住建筑空间组织对采暖能耗的影响分析

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 4

Page:

457-465

Research Field:

Architecture

Publishing date:

2017-12-30

Info

Title:

Analyses of influence of residential buildings’ space organizationon heating energy consumption in Lhasa

拉萨居住建筑空间组织对采暖能耗的影响分析

Author(s):

Li En

School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China

李恩

西安建筑科技大学建筑学院, 西安 710055

Keywords:

residential building;  space organization;  heating energy consumption;  energy saving design

居住建筑;  空间组织;  采暖能耗;  节能设计

PACS:

TU118

DOI:

10.3969/j.issn.1003-7985.2017.04.011

Abstract:

The heating load simulation models of the residential buildings in Lhasa are established for enhancing the space organization’s adaptability to climate and radiation and improving its energy saving performance. The space organization items are analyzed for both the existing buildings without insulation and new buildings with good insulation. The items include orientation design, south and north balcony design, the north and south partition wall’s position design, storey height design and window-wall ratio design. Simulation results show that orientation is the key design element for energy saving design, and adverse orientation can obviously increase heating energy consumption; south and north balconies can reduce winter heating energy consumption; partition walls move to the north, which means that the south room’s big depth design leads to less heating energy consumption, but the effect is not inconspicuous; smaller storey height results in less heating load. For the existing buildings, the window-wall ratio of south side has a balance point for energy saving design in the calculation condition. For the new buildings with good insulation, enlarging the south window-wall ratio can continuously reduce heating energy consumption, but the energy saving rate between models gets smaller. The heating energy consumption comparison study between the common model and optimal space design model demonstrates that the energy saving design can significantly reduce heating energy consumption.

为了提高拉萨居住建筑空间组织对气候与辐射的适应性, 改善建筑空间组织的节能效果, 以拉萨市居住建筑为基础建立了热工计算模型.针对无保温的既有建筑与良好保温的新建建筑2种情况, 分别模拟分析了建筑朝向、封闭阳台、进深方向上隔墙位置、层高、南向窗墙比对采暖能耗的影响规律.模拟结果显示:朝向是建筑节能设计的重要影响要素, 不利朝向会引起能耗大幅增加;南北向封闭阳台能减小采暖能耗;南北向隔墙位置北移能够降低采暖能耗, 但节能效果有限;较小层高对节能有利;对于既有建筑, 在一定工况下, 南向窗墙面积设计存在平衡点, 过大或者过小都不利于节能;对于良好保温的新建筑, 扩大南向窗墙比能够降低能耗, 但模型间的节能率会逐渐减小.节能设计模型与基础模型的能耗对比显示, 空间组织优化设计方法能有效降低采暖能耗.

References:

[1] Zhang Qingyuan, Yang Hongxing. Typical meteorological database handbook for buildings [M]. Beijing: China Architecture Industry Press, 2012: 55-56.(in Chinese)
[2] Li En, Akashi Y, Liu J P. Design methodology of energy saving building in developing cities—The geography, climate, society and indoor environment of Tibet [J]. Journal of Habitat Engineering, 2009, 1(1): 125134.
[3] Li En, Akashi Y, Sumiyoshi D, et al. Energy consumption analysis of house in Lhasa based on survey and simulation [C]//12th Conference of International Building Performance Simulation Association. Sydney, Australia, 2011: 1535-1542.
[4] Zhang J K. Evaluating regional low-carbon tourism strategies using the fuzzy Delphi-analytic network process approach [J]. Journal of Cleaner Production, 2017, 141(1): 409-419.
[5] Huang L J, Huang Z D, Hamza N, et al. Energy-efficient retrofitting and energy consumption in a historic city centre—An example from Lhasa [J]. disP—The Planning Review, 2014, 50(3): 55-65.
[6] Li En, Liu J P, Yang L. Research on the passive design optimization of direct solar gain house for residential buildings in Lhasa[J]. Industrial Construction, 2012, 42(2): 27-32.(in Chinese)
[7] Li En, Liu J P, Yang L. Analysis on the passive design optimization for residential buildings in Lhasa based on the case study of attached sunroom system for apartment buildings[J]. Journal of Xi’an University of Architecture and Technology(Natural Science Edition), 2016, 48(2): 258-264.(in Chinese)
[8] Xiao Wei. Study of the direct-gain solar heating in remote southwest Tibet[D]. Beijing: School of Architecture, Tsinghua University, 2010.(in Chinese)
[9] Wang L, Feng Y, Cao Y C. Thermal performance optimization of solar heating building envelope in Tibet of China[J]. Journal of Civil, Architectural & Environmental Engineering, 2013, 35(2): 86-91.(in Chinese)
[10] Li En. Study on unbalanced insulation of residential building in solar energy abundant area—Solar radiation analysis and indoor thermal environment test in Lhasa during heating period[J]. Building Science, 2011, 27(8): 56-60.(in Chinese)
[11] Li En, Akashi Y, Sumiyoshi D. Passive design strategy on residential buildings for sustainable development of Lhasa [J]. Journal of Environmental Engineering, 2013, 78(688): 471-480.
[12] Ministry of Housing and Urban-Rural Development of the People’s Republic of China. JGJ 26—2010 Design standard for energy efficiency of residential buildings in severe cold and cold zones[S]. Beijing: China Architecture Industry Press, 2010.(in Chinese)
[13] Ozaki A, Watanabe T, Takase S. Simulation software of the hydrothermal environment of buildings based on detailed thermodynamic models [C]//eSim 2004 of the Canadian Conference on Building Energy Simulation. Vancouver, Canada, 2004: 45-54.

Memo

Memo:

Biography: Li En(1982—), male, doctor, associate professor, lien801@163.com.
Foundation items: The National Natural Science Foundation of China(No.51608426, 51590913), the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry(No.(2014)1685).
Citation: Li En.Analyses of influence of residential buildings’ space organization on heating energy consumption in Lhasa[J].Journal of Southeast University(English Edition), 2017, 33(4):457-465.DOI:10.3969/j.issn.1003-7985.2017.04.011.

Common functions