Exploring the Relationship Between Technical and Comfort Factors in Designing Efficient Buildings: A Statistical Analysis of a Real-World Dataset

Year 2024, , 173 - 181, 18.07.2024

Nastaran Deljavan , Hajar Franoudkia

https://doi.org/10.56554/jtom.1332101

Abstract

This study investigates the three factors that contribute to designing efficient buildings, namely technical solutions, facade systems, and occupant requirements, through the use of a real-world dataset consisting of 49 efficient buildings from various locations across the globe. Each factor comprises distinct elements that are essential in achieving building efficiency. Statistical methods, including correlation and Kruskal-Wallis methods, as well as advanced statistical methods such as the reversible jump Markov chain Monte Carlo method, were employed to estimate parameters that represent the conditional dependence between the elements of each factor. The undirected graphs were generated for each factor based on the conditional depence between the elements of the factor which is shown by a link. Through the analysis of these graphs, designers can enhance their comprehension of the correlation between the various elements of each factor, which can ultimately result in improved building efficiency. This, in turn, may lead to a decrease in air pollution and energy consumption while enhancing human comfort.

Keywords

Facade Systems, Human Comfort, Efficient Buildings, Statistical methods, Reversible Jump Markov Chain Monte Carlo Method

References

• Aksamija, A. (2013). Sustainable Facades: Design Methods for High-Performance Building Envelopes. John Wiley & Sons, Inc., Hoboken, New York, New Jersey.
• Bessoudo, M. (2008). Building Facades and Thermal Comfort. VDM Verlag Dr.Muller Ahtiengesellschaft & Co.KG, Saarbruchen, Germany.
• Brock, L. (2005). Designing the External Wall: An Architectural Guide to the Vertical Envelope. John Wiley & Sons, Inc. USA.
• Farnoudkia, H., & Purutcuoglu, V. (2019). Copula Gaussian graphical modeling of biological networks and Bayesian inference of model parameters. Scientia Iranica, 26(4), 2495-2505. https://doi.org/10.24200/sci.2018.20667.1866.
• Knaack, U., Klein, T., (2009). The Future Envelope 2: Architecture - climate - Skin. ISO Press under the imprint Delf University Press.
• Kubba, S. (2010). LEED Practices, Certification, and Accreditation Handbook. Retrieved February, 2012, Available at http://app.knovel.com/web/toc.v/cid:kpLEEDPCA5/viewerType:toc/root_slug:leed-practicescertification/ url_slug:leed-practices-certification/?
• Liu, J., Zhang, L., and Liu, Z. (2017). Environmental Pollution Control. Walter de Gruyter GmbH & Co KG, Berlin, Germany.
• Lovell, J., (2010). Building Envelopes an Integrated Approach. Princeton Architectural Press. New York
• Manioglu, G. and Yılmaz, Z. (2006). Economic evaluation of the building envelope and operation period of heating system in terms of thermal comfort. Energy and Buildings, 38 (3), 266-272. https://doi.org/10.1016/j.enbuild.2005.06.009
• Moghtadernejad, S. (2013). Design, Inspection, Maintenance, Life Cycle performance and integrity of Building Facades. Master’s thesis. McGill University.
• Mohammadi, A., & Wit, E. C. (2015). Bayesian structure learning in sparse Gaussian graphical models. https://doi.org/10.1007/s11222-014-9523-7
• Muralikrishna, I.V. and Manickam, V. (2017). Environmental Management: Science and Engineering for Industry. Butterworth-Heinemann. Oxford, UK) and Waltham, Massachusetts, USA.
• Newsham, G., Brand, J., Donnelly, C., Veitch, J., Aries, M., and Charles, K. (2009). Linking indoor environment conditions to job satisfaction: a field study. Building Research & Information, 37(2), 129-147. https://doi.org/10.1080/09613210802710298
• Tam, V.W.Y., Le, K.N., and Wang, J.Y. (2018). Cost Implication of Implementing External Facade Systems for Commercial Buildings. Sustainability, 10(6), 1917. https://doi.org/10.3390/su10061917