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Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors

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  • Chen, Xi
  • Yang, Hongxing
  • Wang, Yuanhao

Abstract

This paper focuses on the application of sensitivity analysis (SA) to typical passively designed high-rise residential buildings in hot and humid climates by considering multiple indoor environmental indices and impact factors. The sampling based Monte Carlo Analysis (MCA) is adopted to carry out multiple regression analyses between selected input parameters and output indices. Input parameters including the building layout, envelope thermophysics, building geometry and infiltration & air-tightness extensively cover each aspect of passive design strategies to improve the sustainability of buildings, while miscellaneous output indices represent major indoor environment factors such as lighting, ventilation and thermal comfort conditions addressed by the local green building guidance. A dynamic simulation program generates all required outputs based on input parameters by constructing a generic building model with different assumptions of internal loads, ventilation control methods, running periods and weather conditions. The calculated sensitivity indices on different output indices chances with simulation control variables, whereas the window solar heat gain coefficient and window to ground ratio are consistently among the most influential design factors. In addition, ASHRAE Adaptive Comfort Standard with 90% Acceptability is determined to be the most adequate assessment method of the building thermal comfort in hot and humid climates similar to Hong Kong. This proposed SA approach accounts for most identified impact factors in a passively designed building and can therefore help conceive potential sustainable solutions in early architectural design stages.

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  • Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
  • Handle: RePEc:eee:rensus:v:69:y:2017:i:c:p:442-460
    DOI: 10.1016/j.rser.2016.11.055
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    1. Mirrahimi, Seyedehzahra & Mohamed, Mohd Farid & Haw, Lim Chin & Ibrahim, Nik Lukman Nik & Yusoff, Wardah Fatimah Mohammad & Aflaki, Ardalan, 2016. "The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1508-1519.
    2. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra & Crutescu, Marin & Dobrovicescu, Alexandru & Tsatsaronis, George, 2011. "Modeling, validation and time-dependent simulation of the first large passive building in Romania," Renewable Energy, Elsevier, vol. 36(1), pages 142-157.
    3. Li, Nan & Yang, Zheng & Becerik-Gerber, Burcin & Tang, Chao & Chen, Nanlin, 2015. "Why is the reliability of building simulation limited as a tool for evaluating energy conservation measures?," Applied Energy, Elsevier, vol. 159(C), pages 196-205.
    4. Kim, Kihyung & von Spakovsky, Michael R. & Wang, M. & Nelson, Douglas J., 2011. "A hybrid multi-level optimization approach for the dynamic synthesis/design and operation/control under uncertainty of a fuel cell system," Energy, Elsevier, vol. 36(6), pages 3933-3943.
    5. Mavromatidis, Lazaros Elias & Marsault, Xavier & Lequay, Hervé, 2014. "Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs," Energy, Elsevier, vol. 65(C), pages 488-502.
    6. Lam, Joseph C. & Tang, H.L. & Li, Danny H.W., 2008. "Seasonal variations in residential and commercial sector electricity consumption in Hong Kong," Energy, Elsevier, vol. 33(3), pages 513-523.
    7. Wan, K. S. Y. & Yik, F. W. H., 2004. "Building design and energy end-use characteristics of high-rise residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 78(1), pages 19-36, May.
    8. 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.
    9. Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2015. "A comprehensive sensitivity study of major passive design parameters for the public rental housing development in Hong Kong," Energy, Elsevier, vol. 93(P2), pages 1804-1818.
    10. Imessad, K. & Derradji, L. & Messaoudene, N.Ait & Mokhtari, F. & Chenak, A. & Kharchi, R., 2014. "Impact of passive cooling techniques on energy demand for residential buildings in a Mediterranean climate," Renewable Energy, Elsevier, vol. 71(C), pages 589-597.
    11. Chen, Xi & Yang, Hongxing & Lu, Lin, 2015. "A comprehensive review on passive design approaches in green building rating tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1425-1436.
    12. Huebner, Gesche M. & Hamilton, Ian & Chalabi, Zaid & Shipworth, David & Oreszczyn, Tadj, 2015. "Explaining domestic energy consumption – The comparative contribution of building factors, socio-demographics, behaviours and attitudes," Applied Energy, Elsevier, vol. 159(C), pages 589-600.
    13. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    14. 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.
    15. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.
    16. Loutzenhiser, Peter G. & Maxwell, Gregory M. & Manz, Heinrich, 2007. "An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows," Energy, Elsevier, vol. 32(10), pages 1855-1870.
    17. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    18. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra, 2010. "Warm season cooling requirements for passive buildings in Southeastern Europe (Romania)," Energy, Elsevier, vol. 35(8), pages 3284-3300.
    19. Rupp, Ricardo Forgiarini & Ghisi, Enedir, 2014. "What is the most adequate method to assess thermal comfort in hybrid commercial buildings located in hot-humid summer climate?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 449-462.
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