Open Access
| Issue |
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
|
|
|---|---|---|
| Article Number | 03026 | |
| Number of page(s) | 8 | |
| Section | Thermal Comfort | |
| DOI | https://doi.org/10.1051/e3sconf/202671603026 | |
| Published online | 09 June 2026 | |
- REHVA Journal Heating systems and their energy use, REHVA. https://www.rehva.eu/rehva-joumal/chapter/heating-systems-and-their-energy-use [Google Scholar]
- Standard 55. https://www.ashrae.org/technical-resources/bookstore/standard-55-thermal-environmental-conditions-for-human-occupancy [Google Scholar]
- M. Shin and J. S. Haberl, “A procedure for automating thermal zoning for building energy simulation,” J. Build. Eng., vol. 46, p. 103780, Apr. (2022), doi: https:10.1016/j.jobe.2021.103780. [Google Scholar]
- W. Haiying, Z. Fengming, L. Jiankai, M. Hang, and L. Huxiang, “Effects of different zoning thermostat controls on thermal comfort and cooling energy consumption in reading rooms of a library,” Energy, vol. 292, p. 130507, Apr. (2024), doi: https:10.1016/j.energy.2024.130507. [Google Scholar]
- K. H. Cheong, Y. H. Teo, J. M. Koh, U. R. Acharya, and S. C. Man Yu, “A simulation-aided approach in improving thermal-visual comfort and power efficiency in buildings,” J. Build. Eng., vol. 27, p. 100936, Jan. (2020), doi: https:10.1016/j.jobe.2019.100936. [Google Scholar]
- B. Yan, E. Long, X. Meng, Y. Zhang, D. Hou, and X. Du, “Influence of user behavior on unsatisfactory indoor thermal environment,” Energy Convers. Manag., vol. 86, pp. 1-7, Oct. 2014, doi: https:10.1016/j.enconman.2014.05.004. [Google Scholar]
- M. Shin and J. S. Haberl, “Thermal zoning for building HVAC design and energy simulation: A literature review,” Energy Build., vol. 203, p. 109429, Nov. (2019), doi: https:10.1016/j.enbuild.2019.109429. [Google Scholar]
- A. Ghahramani, G. Castro, S. A. Karvigh, and B. Becerik-Gerber, “Towards unsupervised learning of thermal comfort using infrared thermography,” Appl. Energy, vol. 211, pp. 41-49, Feb. 2018, doi: https:10.1016/j.apenergy.2017.11.021. [Google Scholar]
- Z. Yu, Y. Song, D. Song, and Y. Liu, “Spatial interpolation-based analysis method targeting visualization of the indoor thermal environment,” Build. Environ., vol. 188, p. 107484, Jan. (2021), doi: https:10.1016/j.buildenv.2020.107484. [Google Scholar]
- M. Shahinmoghadam, W. Natephra, and A. Motamedi, “BIM- and IoT-based virtual reality tool for real-time thermal comfort assessment in building enclosures,” Build. Environ., vol. 199, p. 107905, Jul. (2021), doi: https:10.1016/j.buildenv.2021.107905. [Google Scholar]
- Uddin, M., Kim, J. B., & Aman, J. A Digital Twin Framework for Carbon Emission Monitoring and Building Operation Feedback. [Google Scholar]
- ANSI/ASHRAE Standard 140-2001 BESTEST 2004. https://www.nrel.gov/buildings/bestest-ex [Google Scholar]
- P. J. Rousseeuw, “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,” J. Comput. Appl. Math., vol. 20, pp. 53-65, Nov. 1987, doi: https:10.1016/0377-0427(87)90125-7. [CrossRef] [Google Scholar]
- L. R. Bachman, Integrated Buildings: The Systems Basis of Architecture. John Wiley & Sons, 2004. [Google Scholar]
- Hinchey, Sharon Beth. "Influence of thermal zone assumptions on DOE-2 energy use estimations of a commercial building." PhD diss., Texas A&M University, 1991. [Google Scholar]
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