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Energy optimization of building design for different housing units in apartment buildings

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  • Yao, Jian
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    Abstract

    Current energy designs for a building in China focus on the energy efficiency of the whole building and thus often neglect the energy difference between different housing units in apartment buildings. The best design technique in terms of energy savings is not only to decrease whole building energy demand, but also to reduce the energy difference between different housing units to a relatively low level. This paper introduces an important index “energy performance difference between housing units” (EDH) to evaluate the drawbacks of conventional designs on a typical residential building in hot summer and cold winter zone. Then nine improved design options were considered as the possible strategies to diminish the EDH, based on a number of building simulations with the program DeST-h. Results show that the option 9 (add movable shading for the east facing windows and west facing windows, and reduce the U-values of the east walls and west facing windows), an improved design strategy according to the EDH of the current design, reduces the EDH to less than 4% that is much lower than other options and meanwhile ensures a decrease in whole building energy demands. A case study was carried out to validate the effectiveness of this index in optimization. As a conclusion, EDH is a very useful index for optimizing energy designs of apartment buildings and can be used in China to improve conventional building designs.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912000980
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    Bibliographic Info

    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 94 (2012)
    Issue (Month): C ()
    Pages: 330-337

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    Handle: RePEc:eee:appene:v:94:y:2012:i:c:p:330-337

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    Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description

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    Related research

    Keywords: Building design; Housing units; Energy consumption; Optimization;

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    Cited by:
    1. Gang, Wenjie & Wang, Jinbo, 2013. "Predictive ANN models of ground heat exchanger for the control of hybrid ground source heat pump systems," Applied Energy, Elsevier, vol. 112(C), pages 1146-1153.

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