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Development of Weighting Scheme for Indoor Air Quality Model Using a Multi-Attribute Decision Making Method

Author

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  • Michał Piasecki

    (Thermal Physics, Acoustic and Environment Department, Building Research Institute, Filtrowa 1, 00-611 Warsaw, Poland)

  • Krystyna Kostyrko

    (Thermal Physics, Acoustic and Environment Department, Building Research Institute, Filtrowa 1, 00-611 Warsaw, Poland)

Abstract

When planning the energy demand of ventilation, proper consideration should be given to the possible scenarios of indoor air quality and pollutant concentrations. The purpose of the present research is to create a practical method of prioritising indoor air pollutants, considering technical, economical and health aspects, in the Indoor Air Quality model (IAQ). In order to find the global weights for the combined IAQ index model sub-elements (in practice, air pollutant concentrations), the Multi-Criteria Decision Making (MCDM) approach is used. The authors have approached the problem of a weighting scheme in a model such as the complex model of the IAQ related to making decisions with many criteria and with the Multi-Attribute Decision Making MADM approach (specifically MCDM). The basis of the MADM method is a decision matrix constructed rationally by the authors, which includes six attributes: actual indoor air carbon dioxide concentration, total volatile organic compounds (TVOCs) and formaldehyde HCHO concentration, and their anthropogenic and construction product emissions to the indoor environment. The decision model of IAQ index includes five alternatives (possible situations), and the combination of pollutant concentration attributes with additional emission attributes is related to the indoor environment under specific situation. For defining the weights of criteria, the authors provide objective approaches: (i) entropy-based approach considering measuring the amount of information, and (ii) CRITIC, a statistic-based approach. The value of the presented method, i.e., the determination of global weights for IAQ components, is shown as a practical application to determine IAQ and the Indoor Environmental Quality (IEQ) index for an office building used as a case study.

Suggested Citation

  • Michał Piasecki & Krystyna Kostyrko, 2020. "Development of Weighting Scheme for Indoor Air Quality Model Using a Multi-Attribute Decision Making Method," Energies, MDPI, vol. 13(12), pages 1-35, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3120-:d:372345
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    References listed on IDEAS

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    Cited by:

    1. Dominik Bekierski & Krystyna Barbara Kostyrko, 2021. "The Influence of Outdoor Particulate Matter PM 2.5 on Indoor Air Quality: The Implementation of a New Assessment Method," Energies, MDPI, vol. 14(19), pages 1-30, September.
    2. Michał Piasecki & Elżbieta Radziszewska-Zielina & Piotr Czerski & Małgorzata Fedorczak-Cisak & Michał Zielina & Paweł Krzyściak & Patrycja Kwaśniewska-Sip & Wojciech Grześkowiak, 2020. "Implementation of the Indoor Environmental Quality (IEQ) Model for the Assessment of a Retrofitted Historical Masonry Building," Energies, MDPI, vol. 13(22), pages 1-27, November.
    3. Benedetto Nastasi & Francesco Mancini, 2021. "Procedures and Methodologies for the Control and Improvement of Energy-Environmental Quality in Construction," Energies, MDPI, vol. 14(9), pages 1-2, April.
    4. Artur Miszczuk & Dariusz Heim, 2020. "Parametric Study of Air Infiltration in Residential Buildings—The Effect of Local Conditions on Energy Demand," Energies, MDPI, vol. 14(1), pages 1-17, December.
    5. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).

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