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Review of Intelligent Control Systems for Natural Ventilation as Passive Cooling Strategy for UK Buildings and Similar Climatic Conditions

Author

Listed:
  • Esmail Mahmoudi Saber

    (Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK)

  • Issa Chaer

    (Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK)

  • Aaron Gillich

    (Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK)

  • Bukola Grace Ekpeti

    (Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK)

Abstract

Natural ventilation is gaining more attention from architects and engineers as an alternative way of cooling and ventilating indoor spaces. Based on building types, it could save between 13 and 40% of the building cooling energy use. However, this needs to be implemented and operated with a well-designed and integrated control system to avoid triggering discomfort for occupants. This paper seeks to review, discuss, and contribute to existing knowledge on the application of control systems and optimisation theories of naturally ventilated buildings to produce the best performance. The study finally presents an outstanding theoretical context and practical implementation for researchers seeking to explore the use of intelligent controls for optimal output in the pursuit to help solve intricate control problems in the building industry and suggests advanced control systems such as fuzzy logic control as an effective control strategy for an integrated control of ventilation, heating and cooling systems.

Suggested Citation

  • Esmail Mahmoudi Saber & Issa Chaer & Aaron Gillich & Bukola Grace Ekpeti, 2021. "Review of Intelligent Control Systems for Natural Ventilation as Passive Cooling Strategy for UK Buildings and Similar Climatic Conditions," Energies, MDPI, vol. 14(15), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4388-:d:598091
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    References listed on IDEAS

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    1. Gillich, Aaron & Saber, Esmail Mahmoudi & Mohareb, Eugene, 2019. "Limits and uncertainty for energy efficiency in the UK housing stock," Energy Policy, Elsevier, vol. 133(C).
    2. Homod, Raad Z. & Sahari, Khairul Salleh Mohamed & Almurib, Haider A.F., 2014. "Energy saving by integrated control of natural ventilation and HVAC systems using model guide for comparison," Renewable Energy, Elsevier, vol. 71(C), pages 639-650.
    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. Dounis, A. I. & Bruant, M. & Guarracino, G. & Michel, P. & Santamouris, M., 1996. "Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings," Applied Energy, Elsevier, vol. 54(1), pages 11-28, May.
    5. Dounis, A. I. & Manolakis, D. E., 2001. "Design of a fuzzy system for living space thermal-comfort regulation," Applied Energy, Elsevier, vol. 69(2), pages 119-144, June.
    6. Dounis, A.I. & Caraiscos, C., 2009. "Advanced control systems engineering for energy and comfort management in a building environment--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1246-1261, August.
    7. Kristl, Živa & Košir, Mitja & Trobec Lah, Mateja & Krainer, Aleš, 2008. "Fuzzy control system for thermal and visual comfort in building," Renewable Energy, Elsevier, vol. 33(4), pages 694-702.
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    Cited by:

    1. Jie Yin & Qingming Zhan & Muhammad Tayyab & Aqeela Zahra, 2021. "The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan," IJERPH, MDPI, vol. 18(21), pages 1-16, November.
    2. Balali, Amirhossein & Yunusa-Kaltungo, Akilu & Edwards, Rodger, 2023. "A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

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