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Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Three: Development of Integrated Model and Applications

Author

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  • Seyedmohammadreza Heibati

    (Department of Construction Engineering, École de Technologie Supérieure (ÉTS), University of Québec, Montréal, QC H3C 1K3, Canada)

  • Wahid Maref

    (Department of Construction Engineering, École de Technologie Supérieure (ÉTS), University of Québec, Montréal, QC H3C 1K3, Canada)

  • Hamed H. Saber

    (Prince Saud bin Thuniyan Research Center, Mechanical Engineering Department, Jubail University College, Al Jubail 35716, Saudi Arabia)

Abstract

The overall building performance depends mainly on the energy performance, indoor air quality, and moisture performance. In order to accurately calculate the building performance, the development of a model with the ability to integrate all three performances is required. In this research, a combination of three models namely EnergyPlus for energy, CONTAM for indoor air quality, and WUFI for moisture transport are used to develop an integrated model. The mechanism of this combination is based on the exchange of temperatures, airflows, and heating-cooling flows control variables between all three sub-models. By using the paired sample t -test, an integrated model is verified and its accuracy is validated. The accuracy of the integrated model is verified by the paired sample t -test. In order to analyze the accuracy of the integrated model in comparison with single models, four scenarios of airtight fan off, airtight fan on, leaky fan off, and leaky fan on are defined for a three-story-house subjected to three different climate cities of Montreal, Vancouver, and Miami. Percentage differences of simulated measures with the ASHRAE Standard are considered as the performance criteria. The simulated results by single and integrated models are compared and analyzed. Finally, the scenarios with the high performances are evaluated in terms of energy efficiency, indoor air quality, and moisture for Montreal, Vancouver, and Miami. Overall, it can be concluded that an integrated model should be developed.

Suggested Citation

  • Seyedmohammadreza Heibati & Wahid Maref & Hamed H. Saber, 2021. "Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Three: Development of Integrated Model and Applications," Energies, MDPI, vol. 14(18), pages 1-31, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5648-:d:631431
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    References listed on IDEAS

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    1. Seyedmohammadreza Heibati & Wahid Maref & Hamed H. Saber, 2019. "Assessing the Energy and Indoor Air Quality Performance for a Three-Story Building Using an Integrated Model, Part One: The Need for Integration," Energies, MDPI, vol. 12(24), pages 1-18, December.
    2. Seyedmohammadreza Heibati & Wahid Maref & Hamed H. Saber, 2021. "Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Two: Integrating the Indoor Air Quality, Moisture, and Thermal Comfort," Energies, MDPI, vol. 14(16), pages 1-40, August.
    3. Polina Trofimova & Ali Cheshmehzangi & Wu Deng & Craig Hancock, 2021. "Post-Occupancy Evaluation of Indoor Air Quality and Thermal Performance in a Zero Carbon Building," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
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    Cited by:

    1. Wenhui Ji & Yanping Yuan, 2022. "Development of Assessing the Thermal Comfort and Energy Performance for Buildings," Energies, MDPI, vol. 15(16), pages 1-2, August.
    2. Mark Bomberg & Anna Romanska-Zapala & David Yarbrough, 2021. "Towards a New Paradigm for Building Science (Building Physics)," World, MDPI, vol. 2(2), pages 1-22, April.
    3. Seyedmohammadreza Heibati & Wahid Maref & Hamed H. Saber, 2021. "Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Two: Integrating the Indoor Air Quality, Moisture, and Thermal Comfort," Energies, MDPI, vol. 14(16), pages 1-40, August.
    4. Jeeheon Kim & Yongsug Hong & Namchul Seong & Daeung Danny Kim, 2022. "Assessment of ANN Algorithms for the Concentration Prediction of Indoor Air Pollutants in Child Daycare Centers," Energies, MDPI, vol. 15(7), pages 1-17, April.

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