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Ventilation Methods for Improving the Indoor Air Quality and Energy Efficiency of Multi-Family Buildings in Central Europe

Author

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  • Joanna Ferdyn-Grygierek

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Krzysztof Grygierek

    (Department of Mechanics and Bridges, Faculty of Civil Engineering, Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland)

Abstract

In Poland and other countries in Central Europe, residential buildings from the second half of the 20th century dominate, which have recently undergone deep thermomodernisation. Research on the retrofitting of residential buildings has focused mainly on energy efficiency, with only a few studies on indoor air quality. The aim of this study was to present a comparative analysis of the impact of five ventilation scenarios (three natural and two mechanical) on CO 2 concentration and energy demand for heating and ventilation in residential spaces of a multi-family building located in Poland. The analyses were based on the results of building performance co-simulation using the EnergyPlus and CONTAM programs carried out under dynamic conditions with a 5 min time step for the entire heating season. The calculations took into account the instantaneous occupancy variability of twenty apartments. In the buildings equipped with new tight windows, the natural ventilation system provided extremely low air exchange (on average 0.1 h −1 ) and poor indoor air quality (average CO 2 concentration at the level of 2500 ppm). Opening windows to ventilate the rooms generated a multiple increase (up to 8 times) in heating demand during these periods, but average CO 2 concentration was on the level of 930 ppm. The use of mechanical ventilation was profitable both in terms of energy savings (at the level of 50%) and improvement in the indoor air.

Suggested Citation

  • Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2024. "Ventilation Methods for Improving the Indoor Air Quality and Energy Efficiency of Multi-Family Buildings in Central Europe," Energies, MDPI, vol. 17(9), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2232-:d:1389151
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    References listed on IDEAS

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    1. Peter Wallner & Ute Munoz & Peter Tappler & Anna Wanka & Michael Kundi & Janie F. Shelton & Hans-Peter Hutter, 2015. "Indoor Environmental Quality in Mechanically Ventilated, Energy-Efficient Buildings vs. Conventional Buildings," IJERPH, MDPI, vol. 12(11), pages 1-16, November.
    2. Zhang, Sheng & Ai, Zhengtao & Lin, Zhang, 2021. "Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving," Applied Energy, Elsevier, vol. 293(C).
    3. Li, Chunxiao & Cui, Can & Li, Ming, 2023. "A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency," Applied Energy, Elsevier, vol. 329(C).
    4. Lu, Xing & O'Neill, Zheng & Li, Yanfei & Niu, Fuxin, 2020. "A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system," Applied Energy, Elsevier, vol. 263(C).
    5. Fix, Andrew J. & Pamintuan, Bryan C. & Braun, James E. & Warsinger, David M., 2022. "Vapor-selective active membrane energy exchanger with mechanical ventilation and indoor air recirculation," Applied Energy, Elsevier, vol. 312(C).
    6. Kim, Moon Keun & Baldini, Luca & Leibundgut, Hansjürg & Wurzbacher, Jan Andre, 2020. "Evaluation of the humidity performance of a carbon dioxide (CO2) capture device as a novel ventilation strategy in buildings," Applied Energy, Elsevier, vol. 259(C).
    7. 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).
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