IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v193y2017icp276-286.html
   My bibliography  Save this article

Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology

Author

Listed:
  • Tong, Zheming
  • Chen, Yujiao
  • Malkawi, Ali

Abstract

The design of energy conservative buildings that incorporates natural ventilation (NV) strategy has become increasingly popular around the world. Natural ventilation is a key solution for reducing energy consumption of buildings and for maintaining a healthy indoor environment. However, the adoption of natural ventilation in high-rise buildings is less common. As rapid population growth and urbanization take place in cities, it is important to explore the substantial energy saving potential of high rises by utilizing natural ventilation. In this study, we have provided the early effort to estimate quantitatively the vertical profiles of NV potential for high rises at major cities from six climate zones in the U.S. (i.e., Miami, Houston, Los Angeles, New York City, Chicago, and Minneapolis), using an in-house boundary layer meteorology model. The diurnal cycle of atmospheric boundary layer (ABL) and local climate characteristics are found to have a great effect on the vertical structure of NV potential. In general, negative vertical gradients of NV hours are observed for all cities except Miami where the vertical distribution is nearly uniform. For example, the annual NV hour decreases from 7258 at ground level to 4866 at 300m above the ground in Los Angeles. Our analysis shows that outdoor temperature is a key meteorological parameter that determines vertical profiles of NV hours in New York City, Los Angeles, Chicago, and Minneapolis. In contrast, humidity plays a greater role in cities like Miami and Houston where the outdoor temperature is often favorable for using natural ventilation except in the summer. Among studied cities, Los Angeles provides the ideal climate (warm and dry) for utilizing natural ventilation, displaying the greatest NV potential (7258NV hours or 83% time of the year at ground level), followed by New York City with 3360NV hours. The remainder of the four studied cities display comparable numbers of NV hours of approximately 2500 at ground level. The methodology and findings from this study are intended to assist architects and policy makers in quantifying the potential energy savings of natural ventilation, and illustrating the importance of considering the vertical variations of elevated thermal environment in high-rise buildings across different climate zones in the U.S.

Suggested Citation

  • Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    • Handle: RePEc:eee:appene:v:193:y:2017:i:c:p:276-286
    DOI: 10.1016/j.apenergy.2017.02.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917301721
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.02.041?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. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    2. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    3. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    4. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    5. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    6. Zhang, Shaojun & Wu, Ye & Hu, Jingnan & Huang, Ruikun & Zhou, Yu & Bao, Xiaofeng & Fu, Lixin & Hao, Jiming, 2014. "Can Euro V heavy-duty diesel engines, diesel hybrid and alternative fuel technologies mitigate NOX emissions? New evidence from on-road tests of buses in China," Applied Energy, Elsevier, vol. 132(C), pages 118-126.
    7. Oropeza-Perez, Ivan & Østergaard, Poul Alberg, 2014. "Energy saving potential of utilizing natural ventilation under warm conditions – A case study of Mexico," Applied Energy, Elsevier, vol. 130(C), pages 20-32.
    8. Hiyama, Kyosuke & Glicksman, Leon, 2015. "Preliminary design method for naturally ventilated buildings using target air change rate and natural ventilation potential maps in the United States," Energy, Elsevier, vol. 89(C), pages 655-666.
    9. Oh, Myoung Su & Ahn, Jae Hwan & Kim, Dong Woo & Jang, Dong Soo & Kim, Yongchan, 2014. "Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system," Applied Energy, Elsevier, vol. 133(C), pages 14-21.
    10. Li, Xiwang & Wen, Jin & Bai, Er-Wei, 2016. "Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification," Applied Energy, Elsevier, vol. 164(C), pages 69-88.
    11. Chou, S. K. & Chua, K. J. & Ho, J. C. & Ooi, C. L., 2004. "On the study of an energy-efficient greenhouse for heating, cooling and dehumidification applications," Applied Energy, Elsevier, vol. 77(4), pages 355-373, April.
    12. Ramponi, Rubina & Angelotti, Adriana & Blocken, Bert, 2014. "Energy saving potential of night ventilation: Sensitivity to pressure coefficients for different European climates," Applied Energy, Elsevier, vol. 123(C), pages 185-195.
    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. Suárez de la Fuente, Santiago & Larsen, Ulrik & Pawling, Rachel & García Kerdan, Iván & Greig, Alistair & Bucknall, Richard, 2018. "Using the forward movement of a container ship navigating in the Arctic to air-cool a marine organic Rankine cycle unit," Energy, Elsevier, vol. 159(C), pages 1046-1059.
    3. Fan, Yuling & Xia, Xiaohua, 2018. "Building retrofit optimization models using notch test data considering energy performance certificate compliance," Applied Energy, Elsevier, vol. 228(C), pages 2140-2152.
    4. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos, 2020. "Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones," Applied Energy, Elsevier, vol. 279(C).
    5. Jung-yeon Yu & Kyoo-dong Song & Dong-woo Cho, 2017. "Resolving Stack Effect Problems in a High-Rise Office Building by Mechanical Pressurization," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    6. 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).
    7. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    8. Ritesh Wankhade & Giovanni Pernigotto & Michele Larcher, 2023. "A Literature Review on Methods and Metrics for the Analysis of Outdoor Air Displacement Conditions in the Urban Environment," Energies, MDPI, vol. 16(6), pages 1-31, March.
    9. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    10. Qingsong Ma & Hiroatsu Fukuda & Myonghyang Lee & Takumi Kobatake & Yuko Kuma & Akihito Ozaki & Xindong Wei, 2018. "Study on Heat Utilization in an Attached Sunspace in a House with a Central Heating, Ventilation, and Air Conditioning System," Energies, MDPI, vol. 11(5), pages 1-12, May.
    11. Tong, Shuiguang & Cheng, Zhewu & Cong, Feiyun & Tong, Zheming & Zhang, Yidong, 2018. "Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 125(C), pages 73-86.
    12. 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.
    13. Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    14. Pouranian, Fatemeh & Akbari, Habibollah & Hosseinalipour, S.M., 2021. "Performance assessment of solar chimney coupled with earth-to-air heat exchanger: A passive alternative for an indoor swimming pool ventilation in hot-arid climate," Applied Energy, Elsevier, vol. 299(C).
    15. Fiorentini, Massimo & Tartarini, Federico & Ledo Gomis, Laia & Daly, Daniel & Cooper, Paul, 2019. "Development of an enthalpy-based index to assess climatic potential for ventilative cooling of buildings: An Australian example," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    16. Chen, Yibo & Gao, Junxi & Yang, Jianzhong & Berardi, Umberto & Cui, Guoyou, 2023. "An hour-ahead predictive control strategy for maximizing natural ventilation in passive buildings based on weather forecasting," Applied Energy, Elsevier, vol. 333(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. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    2. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    3. 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.
    4. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    5. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    6. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    7. Fan, Yuling & Xia, Xiaohua, 2018. "Building retrofit optimization models using notch test data considering energy performance certificate compliance," Applied Energy, Elsevier, vol. 228(C), pages 2140-2152.
    8. 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).
    9. Alberto Meiss & Miguel A. Padilla-Marcos & Jesús Feijó-Muñoz, 2017. "Methodology Applied to the Evaluation of Natural Ventilation in Residential Building Retrofits: A Case Study," Energies, MDPI, vol. 10(4), pages 1-19, April.
    10. Elaouzy, Y. & El Fadar, A., 2022. "Energy, economic and environmental benefits of integrating passive design strategies into buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. He, Yueer & Liu, Meng & Kvan, Thomas & Peng, Shini, 2017. "An enthalpy-based energy savings estimation method targeting thermal comfort level in naturally ventilated buildings in hot-humid summer zones," Applied Energy, Elsevier, vol. 187(C), pages 717-731.
    12. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2021. "Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain," Energy, Elsevier, vol. 237(C).
    13. Cui, X. & Mohan, B. & Islam, M.R. & Chou, S.K. & Chua, K.J., 2017. "Energy performance evaluation and application of an air treatment system for conditioning building spaces in tropics," Applied Energy, Elsevier, vol. 204(C), pages 1500-1512.
    14. 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.
    15. Tong, Shuiguang & Cheng, Zhewu & Cong, Feiyun & Tong, Zheming & Zhang, Yidong, 2018. "Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 125(C), pages 73-86.
    16. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    17. Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    18. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    19. Qing He & Haiyang Zhao & Lin Shen & Liuqun Dong & Ye Cheng & Ke Xu, 2019. "Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    20. Huang, Yanjun & Khajepour, Amir & Ding, Haitao & Bagheri, Farshid & Bahrami, Majid, 2017. "An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 188(C), pages 576-585.

    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:appene:v:193:y:2017:i:c:p:276-286. 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/405891/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.