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Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study

Author

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  • Francesco Fassio

    (Universita' Degli Studi Roma Tre, Dipartimento di Ingegneria, Sezione Ingegneria Meccanica e Industriale, 79, Via della Vasca Navale, Rome 00146, Italy)

  • Aldo Fanchiotti

    (Universita' Degli Studi Roma Tre, Dipartimento di Ingegneria, Sezione Ingegneria Meccanica e Industriale, 79, Via della Vasca Navale, Rome 00146, Italy
    These authors contributed equally to this work.)

  • Roberto De Lieto Vollaro

    (Universita' Degli Studi Roma Tre, Dipartimento di Ingegneria, Sezione Ingegneria Meccanica e Industriale, 79, Via della Vasca Navale, Rome 00146, Italy
    These authors contributed equally to this work.)

Abstract

Indoor environmental quality (IEQ) factors usually considered in engineering studies, i.e. , thermal, acoustical, visual comfort and indoor air quality are individually associated with the occupant satisfaction level on the basis of well-established relationships. On the other hand, the full understanding of how single IEQ factors contribute and interact to determine the overall occupant satisfaction (global comfort) is currently an open field of research. The lack of a shared approach in treating the subject depends on many aspects: absence of established protocols for the collection of subjective and objective measurements, the amount of variables to consider and in general the complexity of the technical issues involved. This case study is aimed to perform a comparison between some of the models available, studying the results of a survey conducted with objective and subjective method on a classroom within University of Roma TRE premises. Different models are fitted on the same measured values, allowing comparison between different weighting schemes between IEQ categories obtained with different methods. The critical issues, like differences in the weighting scheme obtained with different IEQ models and the variability of the weighting scheme with respect to the time of exposure of the users in the building, identified during this small scale comfort assessment study, provide the basis for a survey activity on a larger scale, basis for the development of an improved IEQ assessment method.

Suggested Citation

  • Francesco Fassio & Aldo Fanchiotti & Roberto De Lieto Vollaro, 2014. "Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:11:p:8113-8127:d:42346
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    Citations

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    Cited by:

    1. Wonyoung Yang & Hyeun Jun Moon & Jin Yong Jeon, 2019. "Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    2. Claudia Valderrama-Ulloa & Lorena Silva-Castillo & Catalina Sandoval-Grandi & Carlos Robles-Calderon & Fabien Rouault, 2020. "Indoor Environmental Quality in Latin American Buildings: A Systematic Literature Review," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    3. Stefano Riffelli, 2021. "Global Comfort Indices in Indoor Environments: A Survey," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    4. Tsz-Wun Tsang & Kwok-Wai Mui & Ling-Tim Wong, 2023. "Adaption and Tolerance in Built Environment—An Evaluation of Environmental Sensation, Acceptance and Overall Indoor Environmental Quality (IEQ) in a Subtropical Region," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    5. Jiantao Weng & Yuhan Zhang & Zefeng Chen & Xiaoyu Ying & Wei Zhu & Yukai Sun, 2022. "Field Measurements and Analysis of Indoor Environment, Occupant Satisfaction, and Sick Building Syndrome in University Buildings in Hot Summer and Cold Winter Regions in China," IJERPH, MDPI, vol. 20(1), pages 1-22, December.
    6. Michał Piasecki & Małgorzata Fedorczak-Cisak & Marcin Furtak & Jacek Biskupski, 2019. "Experimental Confirmation of the Reliability of Fanger’s Thermal Comfort Model—Case Study of a Near-Zero Energy Building (NZEB) Office Building," Sustainability, MDPI, vol. 11(9), pages 1-25, April.

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