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A transient ventilation demand model for air-conditioned offices

Author

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  • Wong, L.T.
  • Mui, K.W.

Abstract

Ventilation to supply fresh air in an air-conditioned office consumes a considerable portion of energy in an air-conditioning system and affects the indoor-air quality (IAQ). The ventilation demand is primarily related to the occupant load. In this study, the ventilation demands due to occupant load variations were examined against certain IAQ objectives using the mass balance of carbon dioxide (CO2) volume fractions in an air-conditioned office. In particular, this study proposed a transient ventilation demand model for occupant load, with the parameters determined from a year-round occupant load survey in Hong Kong. This model was applied to evaluate the performance of energy saving in different operating schedules of ventilation systems for typical office buildings in Hong Kong. The results showed that the energy consumption of a ventilation system would be correlated with the transient occupant load and its variations in the air-conditioned office. The ventilation system, with schedules taking account of the transient occupant loads, would offer a reduction in energy consumption up to 19% as compared with an operating schedule that assumed a steady occupant-load in the office during working hours. In both cases, the same IAQ objective was achieved.

Suggested Citation

  • Wong, L.T. & Mui, K.W., 2008. "A transient ventilation demand model for air-conditioned offices," Applied Energy, Elsevier, vol. 85(7), pages 545-554, July.
    • Handle: RePEc:eee:appene:v:85:y:2008:i:7:p:545-554
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    References listed on IDEAS

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    1. Mui, K.W. & Wong, L.T. & Law, L.Y., 2007. "An energy benchmarking model for ventilation systems of air-conditioned offices in subtropical climates," Applied Energy, Elsevier, vol. 84(1), pages 89-98, January.
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    Cited by:

    1. Chung, William & Yeung, Iris M.H., 2017. "Benchmarking by convex non-parametric least squares with application on the energy performance of office buildings," Applied Energy, Elsevier, vol. 203(C), pages 454-462.
    2. 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.
    3. Cui, Can & Zhang, Xin & Cai, Wenjian, 2020. "An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model," Applied Energy, Elsevier, vol. 264(C).
    4. Michele Zinzi & Francesca Pagliaro & Stefano Agnoli & Fabio Bisegna & Domenico Iatauro, 2021. "On the Built-Environment Quality in Nearly Zero-Energy Renovated Schools: Assessment and Impact of Passive Strategies," Energies, MDPI, vol. 14(10), pages 1-18, May.
    5. Wong, L.T. & Mui, K.W. & Guan, Y., 2010. "Shower water heat recovery in high-rise residential buildings of Hong Kong," Applied Energy, Elsevier, vol. 87(2), pages 703-709, February.
    6. Wong, L.T. & Mui, K.W., 2009. "Efficiency assessment of indoor environmental policy for air-conditioned offices in Hong Kong," Applied Energy, Elsevier, vol. 86(10), pages 1933-1938, October.
    7. Krista Rizzo & Mark Camilleri & Damien Gatt & Charles Yousif, 2024. "Optimising Mechanical Ventilation for Indoor Air Quality and Thermal Comfort in a Mediterranean School Building," Sustainability, MDPI, vol. 16(2), pages 1-26, January.
    8. Kusiak, Andrew & Li, Mingyang & Zheng, Haiyang, 2010. "Virtual models of indoor-air-quality sensors," Applied Energy, Elsevier, vol. 87(6), pages 2087-2094, June.

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