Open Access
E3S Web Conf.
Volume 362, 2022
BuildSim Nordic 2022
Article Number 14005
Number of page(s) 7
Section IEQ, Ventilation and CFD
Published online 01 December 2022
  1. Ayata, T., Çam, E., & Yıldız, O. (2007). Adaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkey. Energy Conversion and Management 48(5), 1472–1479. [CrossRef] [Google Scholar]
  2. Carter, A. W., Zaitchik, B. F., Gohlke, J. M., Wang, S., & Richardson, M. B. (2020). Methods for estimating wet bulb globe temperature from remote and low - cost data: A comparative study in Central Alabama. GeoHealth 4(5), e2019GH000231. [CrossRef] [PubMed] [Google Scholar]
  3. de Dear, R., & Fountain, M. (1994). Field experiments on occupant comfort and office thermal environments in a hot-humid climate. [Google Scholar]
  4. Gunnarsen, Lars, and P. Ole Fanger. (1992). Adaptation to indoor air pollution, Environment International 18, 43–54. [CrossRef] [Google Scholar]
  5. Homod, R. Z., Ksm Sahari, and Haf Almurib. (2014). Energy saving by integrated control of natural ventilation and HVAC systems using model guide for comparison, Renewable Energy 71, 639–650. [CrossRef] [Google Scholar]
  6. Institution, B. S. (1982). Hot environments - Estimation of the heat stress on working man, based on the WBGT-index (wet bulb globe temperature), Iso. [Google Scholar]
  7. Kolokotroni, M., Mdaes Perera, D. Azzi, and G. S. Virk. (2001). An investigation of passive ventilation cooling and control strategies for an educational building, Applied Thermal Engineering 21, 183–199. [CrossRef] [Google Scholar]
  8. Lemke, B., & Kjellstrom, T. (2012). Calculating workplace WBGT from meteorological data: a tool for climate change assessment. Industrial Health 50(4), 267–278. [CrossRef] [PubMed] [Google Scholar]
  9. Langevin, Jared, Jin Wen, and Patrick L. Gurian. (2013). Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants, Building andEnvironment 69, 206–226. [CrossRef] [Google Scholar]
  10. Ministry of Housing and Urban-Rural Development. (2012). Design standard for energy efficiency of residential buildings in hot summer and warm winter areas ( JGJ75-2012). [Google Scholar]
  11. Mirzabeigi, Shayan, Behrooz Khalili Nasr, Andrea Giovanni Mamini, Juan Diego Blanco Cadena, and Gabriele Lobaccaro. (2021). Tailored WBGT as a heat stress index to assess the direct solar radiation effect on indoor thermal comfort, Energy and Buildings 242, 110974. [CrossRef] [Google Scholar]
  12. Standard, ASHRAE. (2017). Standard 55-2017 thermal environmental conditions for human occupancy, Ashrae: Atlanta, GA, USA. [Google Scholar]
  13. Sorgato, M. J. A. P. Melo, and R. Lamberts. (2016). The effect of window opening ventilation control on residential building energy consumption, Energy & Buildings 133, 1–13. [CrossRef] [Google Scholar]
  14. Yu, Chenrong, Jingchao Xie, Peng Xue, Jiaping Liu, and Ying Ji. (2019). Study on Effect of Different Wall Insulation Structures on Building Energy Consumption in Low Latitude Region: A Case Study in Qionghai, China. In The International Symposium on Heating, Ventilation and Air Conditioning, 1285–1293. Springer. [Google Scholar]
  15. Zhang, Yufeng, Jinbo Mai, Mingyang Zhang, Fulin Wang, and Yongchao Zhai. (2017). Adaptation-based indoor environment control in a hot-humid area, Building and Environment 117, 238–247. [CrossRef] [Google Scholar]
  16. Zhou, J., G. Zhang, Y. Lin, and Y. Li. (2008). Coupling of thermal mass and natural ventilation in buildings, Energy and Buildings 40, 979–986. [CrossRef] [Google Scholar]
  17. Zhang, Yufeng, and Rongyi Zhao. (2008). Overall thermal sensation, acceptability and comfort, Building and Environment 43, 44–50. [CrossRef] [Google Scholar]

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