IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v69y2017icp442-460.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116307675
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2016.11.055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Yujiao & Tong, Zheming & Wu, Wentao & Samuelson, Holly & Malkawi, Ali & Norford, Leslie, 2019. "Achieving natural ventilation potential in practice: Control schemes and levels of automation," Applied Energy, Elsevier, vol. 235(C), pages 1141-1152.
    2. Xing Li & Qinli Deng & Zhigang Ren & Xiaofang Shan & Guang Yang, 2021. "Parametric Study on Residential Passive House Building in Different Chinese Climate Zones," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    3. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Shilei Lu & Ran Wang & Shaoqun Zheng, 2017. "Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China," Sustainability, MDPI, vol. 9(12), pages 1-30, December.
    5. Waqas Ahmed Mahar & Griet Verbeeck & Sigrid Reiter & Shady Attia, 2020. "Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    6. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Sensitivity analysis on energy performance, thermal and visual discomfort of a prefabricated house in six climate zones in Australia," Applied Energy, Elsevier, vol. 298(C).
    7. Patricia Aguilera-Benito & Sheila Varela-Lujan & Carolina Piña-Ramirez, 2021. "Thermal Behavior in Glass Houses through the Analysis of Scale Models," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    8. Chen, Xi & Yang, Hongxing, 2018. "Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China," Applied Energy, Elsevier, vol. 215(C), pages 145-158.
    9. Chen, Xi & Yang, Hongxing, 2017. "A multi-stage optimization of passively designed high-rise residential buildings in multiple building operation scenarios," Applied Energy, Elsevier, vol. 206(C), pages 541-557.
    10. Nutkiewicz, Alex & Jain, Rishee K. & Bardhan, Ronita, 2018. "Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India," Applied Energy, Elsevier, vol. 231(C), pages 433-445.
    11. Xie, Y. & Gilmour, M.S. & Yuan, Y. & Jin, H. & Wu, H., 2017. "A review on house design with energy saving system in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 29-52.
    12. Nutkiewicz, Alex & Mastrucci, Alessio & Rao, Narasimha D. & Jain, Rishee K., 2022. "Cool roofs can mitigate cooling energy demand for informal settlement dwellers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Xi & Yang, Hongxing & Sun, Ke, 2017. "Developing a meta-model for sensitivity analyses and prediction of building performance for passively designed high-rise residential buildings," Applied Energy, Elsevier, vol. 194(C), pages 422-439.
    2. Chen, Xi & Yang, Hongxing & Sun, Ke, 2016. "A holistic passive design approach to optimize indoor environmental quality of a typical residential building in Hong Kong," Energy, Elsevier, vol. 113(C), pages 267-281.
    3. 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.
    4. Shilei Lu & Ran Wang & Shaoqun Zheng, 2017. "Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China," Sustainability, MDPI, vol. 9(12), pages 1-30, December.
    5. 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.
    6. 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.
    7. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Sensitivity analysis on energy performance, thermal and visual discomfort of a prefabricated house in six climate zones in Australia," Applied Energy, Elsevier, vol. 298(C).
    8. Chen, Xi & Yang, Hongxing, 2018. "Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China," Applied Energy, Elsevier, vol. 215(C), pages 145-158.
    9. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
    10. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    11. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
    12. Premrov, Miroslav & Žigart, Maja & Žegarac Leskovar, Vesna, 2018. "Influence of the building shape on the energy performance of timber-glass buildings located in warm climatic regions," Energy, Elsevier, vol. 149(C), pages 496-504.
    13. Waqas Ahmed Mahar & Griet Verbeeck & Sigrid Reiter & Shady Attia, 2020. "Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    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. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    16. Østergård, Torben & Jensen, Rasmus L. & Maagaard, Steffen E., 2016. "Building simulations supporting decision making in early design – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 187-201.
    17. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    18. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    19. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    20. Chen, Xi & Yang, Hongxing, 2017. "A multi-stage optimization of passively designed high-rise residential buildings in multiple building operation scenarios," Applied Energy, Elsevier, vol. 206(C), pages 541-557.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:69:y:2017:i:c:p:442-460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.