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On the Performance of Night Ventilation in a Historic Office Building in Nordic Climate

Author

Listed:
  • Hossein Bakhtiari

    (Department of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, Sweden)

  • Jan Akander

    (Department of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, Sweden)

  • Mathias Cehlin

    (Department of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, Sweden)

  • Abolfazl Hayati

    (Department of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, Sweden)

Abstract

The effect of mechanical night ventilation on thermal comfort and electricity use for cooling of a typical historic office building in north-central Sweden was assessed. IDA-ICE simulation program was used to model the potential for improving thermal comfort and electricity savings by applying night ventilation cooling. Parametric study comprised different outdoor climates, flow rates, cooling machine’s coefficient of performance and ventilation units’ specific fan power values. Additionally, the effect of different door schemes (open or closed) on thermal comfort in offices was investigated. It was shown that night ventilation cannot meet the building’s total cooling demand and auxiliary active cooling is required, although the building is located in a cold climate. Night ventilation had the potential in decreasing the percentage of exceedance hours in offices by up to 33% and decreasing the total electricity use for cooling by up to 40%. More electricity is saved with higher night ventilation rates. There is, however, a maximum beneficial ventilation rate above which the increase in electricity use in fans outweighs the decrease in electricity use in cooling machine. It depends on thermal mass capacity of the building, cooling machine´s coefficient of performance, design ventilation rate, and available night ventilation cooling potential (ambient air temperature).

Suggested Citation

  • Hossein Bakhtiari & Jan Akander & Mathias Cehlin & Abolfazl Hayati, 2020. "On the Performance of Night Ventilation in a Historic Office Building in Nordic Climate," Energies, MDPI, vol. 13(16), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4159-:d:397663
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    References listed on IDEAS

    as
    1. Germán Ramos Ruiz & Carlos Fernández Bandera, 2017. "Validation of Calibrated Energy Models: Common Errors," Energies, MDPI, vol. 10(10), pages 1-19, October.
    2. Kolokotroni, M. & Aronis, A., 1999. "Cooling-energy reduction in air-conditioned offices by using night ventilation," Applied Energy, Elsevier, vol. 63(4), pages 241-253, August.
    3. Artmann, N. & Manz, H. & Heiselberg, P., 2008. "Parameter study on performance of building cooling by night-time ventilation," Renewable Energy, Elsevier, vol. 33(12), pages 2589-2598.
    4. Artmann, N. & Manz, H. & Heiselberg, P., 2007. "Climatic potential for passive cooling of buildings by night-time ventilation in Europe," Applied Energy, Elsevier, vol. 84(2), pages 187-201, February.
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    Cited by:

    1. Jonghoon Ahn, 2020. "Performance Analyses of Temperature Controls by a Network-Based Learning Controller for an Indoor Space in a Cold Area," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    2. Sana Sayadi & Abolfazl Hayati & Mazyar Salmanzadeh, 2021. "Optimization of Window-to-Wall Ratio for Buildings Located in Different Climates: An IDA-Indoor Climate and Energy Simulation Study," Energies, MDPI, vol. 14(7), pages 1-21, April.
    3. Saman Abolghasemi Moghaddam & Magnus Mattsson & Arman Ameen & Jan Akander & Manuel Gameiro Da Silva & Nuno Simões, 2021. "Low-Emissivity Window Films as an Energy Retrofit Option for a Historical Stone Building in Cold Climate," Energies, MDPI, vol. 14(22), pages 1-28, November.
    4. Sung Hoon Yoon & Jonghoon Ahn, 2020. "Comparative Analysis of Energy Use and Human Comfort by an Intelligent Control Model at the Change of Season," Energies, MDPI, vol. 13(22), pages 1-15, November.

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