|Table of Contents|

[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]

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

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

2017 4
Research Field:
Publishing date:


Analyses of influence of residential buildings’ space organizationon heating energy consumption in Lhasa
Li En
School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
residential building space organization heating energy consumption energy saving design
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.


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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.
Last Update: 2017-12-20