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An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings

Listed author(s):
  • Yildiz, Yusuf
  • Korkmaz, Koray
  • Göksal Özbalta, Türkan
  • Durmus Arsan, Zeynep
Registered author(s):

    High levels of energy consumption in residential buildings and global warming are important issues. Thus the energy performance of buildings should be improved in the early stages of design. This article describes an approach for developing guidelines on sensitive and robust design parameters for the present, the 2020s, the 2050s and the 2080s. Such guidelines can help architects to design low-rise apartment buildings that require less energy for various purposes, such as heating or cooling. The article consists of a general literature review, interviews with architects, the generation of case-specific information and a mock-up presentation and a meeting with professionals. An example guideline that aims to reduce annual cooling energy loads under global warming in low-rise apartment buildings located in hot-humid climates is presented to demonstrate how the proposed approach can be applied. For this guideline, case-specific information was generated, and a global sensitivity analysis based on Monte Carlo Analysis and the Latin Hypercube Sampling technique was performed. The results show that the suggested approach is feasible and could be used to provide helpful information to architects during the design of low-rise apartment buildings with high energy performance. The most sensitive design parameters that affect annual cooling energy loads in low-rise apartment buildings were natural ventilation, window area, and the solar heat-gain coefficient (SHGC) of the glazing. The results are relevant for the present, the 2020s, the 2050s and the 2080s.

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    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 93 (2012)
    Issue (Month): C ()
    Pages: 337-347

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    Handle: RePEc:eee:appene:v:93:y:2012:i:c:p:337-347
    DOI: 10.1016/j.apenergy.2011.12.048
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    1. Mallah, Subhash & Bansal, N.K., 2011. "Parametric sensitivity analysis for techno-economic parameters in Indian power sector," Applied Energy, Elsevier, vol. 88(3), pages 622-629, March.
    2. Kusiak, Andrew & Li, Mingyang & Zhang, Zijun, 2010. "A data-driven approach for steam load prediction in buildings," Applied Energy, Elsevier, vol. 87(3), pages 925-933, March.
    3. Pregernig, Michael, 2000. "Putting science into practice: the diffusion of scientific knowledge exemplified by the Austrian `Research Initiative Against Forest Decline'," Forest Policy and Economics, Elsevier, vol. 1(2), pages 165-176, August.
    4. Heiselberg, Per & Brohus, Henrik & Hesselholt, Allan & Rasmussen, Henrik & Seinre, Erkki & Thomas, Sara, 2009. "Application of sensitivity analysis in design of sustainable buildings," Renewable Energy, Elsevier, vol. 34(9), pages 2030-2036.
    5. Yıldız, Yusuf & Arsan, Zeynep Durmuş, 2011. "Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climates," Energy, Elsevier, vol. 36(7), pages 4287-4296.
    6. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    7. Kwon, Soon-Duck, 2010. "Uncertainty analysis of wind energy potential assessment," Applied Energy, Elsevier, vol. 87(3), pages 856-865, March.
    8. Gustafsson, Stig-Inge, 1998. "Sensitivity analysis of building energy retrofits," Applied Energy, Elsevier, vol. 61(1), pages 13-23, September.
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