[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]

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

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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

Author(s):

Li En

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

Keywords:

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

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.

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.

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