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All issues Volume 80 (2019) E3S Web Conf., 80 (2019) 03003 References
Open Access
Issue
E3S Web Conf.
Volume 80, 2019
2018 International Conference on Renewable Energy and Environment Engineering (REEE 2018)
Article Number 03003
Number of page(s) 5
Section Environmental Monitoring and Assessment
DOI https://doi.org/10.1051/e3sconf/20198003003
Published online 15 January 2019
  1. Brager, G.S. and R.J. de Dear, Thermal adaptation in the built environment: a literature review. Energy and Buildings, 1998. 27(1): p. 83-96. [Google Scholar]
  2. Wang, J., et al., Sick building syndrome among parents of preschool children in relation to home environment in Chongqing, China. Chinese Science Bulletin, 2013. 58(34): p. 4267-4276. [CrossRef] [Google Scholar]
  3. Li, B.Z. and R.M. Yao, Building energy efficiency for sustainable development in China: challenges and opportunities. Building Research and Information, 2012. 40(4): p. 417-431. [CrossRef] [Google Scholar]
  4. Zhai, Y.C., et al., Human comfort and perceived air quality in warm and humid environments with ceiling fans. Building and Environment, 2015. 90: p. 178-185. [Google Scholar]
  5. Schiavon, S., et al., Thermal comfort, perceived air quality and cognitive performance when personally controlled air movement is used by tropically acclimatized persons. Indoor Air, 2016. [Google Scholar]
  6. Zhu, Y., et al., Dynamic thermal environment and thermal comfort. Indoor air, 2016. 26(1): p. 125-37. [CrossRef] [PubMed] [Google Scholar]
  7. Wang, Z.J., et al., Human thermal physiological and psychological responses under different heating environments. Journal of Thermal Biology, 2015. 52: p. 177-186. [CrossRef] [PubMed] [Google Scholar]
  8. Liu, J., et al.., Occupants’ behavioural adaptation in workplaces with non-central heating and cooling systems. Applied Thermal Engineering, 2012. 35: p. 40-54. [Google Scholar]
  9. Liu, H., et al., Seasonal variation of thermal sensations in residential buildings in the Hot Summer and Cold Winter zone of China. Energy and Buildings, 2017. 140: p. 9-18. [Google Scholar]
  10. de Dear, R.J. and G.S. Brager, Thermal comfort in naturally ventilated buildings: revisions to ASHRAE Standard 55. Energy and Buildings, 2002. 34(6): p. 549-561. [Google Scholar]
  11. Yao, R., B. Li, and J. Liu, A theoretical adaptive model of thermal comfort - Adaptive Predicted Mean Vote (aPMV). Building and Environment, 2009. 44(10): p. 2089-2096. [Google Scholar]
  12. Yang, Y., et al.., A study of adaptive thermal comfort in a well-controlled climate chamber. Applied Thermal Engineering, 2015. 76: p. 283-291. [Google Scholar]
  13. Nicol, J.F. and M.A. Humphreys, Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, 2002. 34(6): p. 563-572. [Google Scholar]
  14. Rijal, H.B., et al.., Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings. Energy And Buildings, 2007. 39(7): p. 823-836. [Google Scholar]
  15. Haldi, F. and D. Robinson, On the behaviour and adaptation of office occupants. Building and Environment, 2008. 43(12): p. 2163-2177. [Google Scholar]
  16. Andersen, R.V., et al.., Survey of occupant behaviour and control of indoor environment in Danish dwellings. Energy and Buildings, 2009. 41(1): p. 11-16. [Google Scholar]
  17. Schweiker, M. and M. Shukuya, Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions. Building & Environment, 2009. 44(10): p. 2137-2149. [CrossRef] [Google Scholar]
  18. D’Oca, S., et al., Effect of thermostat and window opening occupant behavior models on energy use in homes. Building Simulation, 2014. 7(6): p. 683-694. [Google Scholar]
  19. Kim, J., et al.., Understanding patterns of adaptive comfort behaviour in the Sydney mixed-mode residential context. Energy & Buildings, 2017. 141: p. 274-283. [CrossRef] [Google Scholar]
  20. Li, B., et al., Climatic Strategies of Indoor Thermal Environment for Residential Buildings in Yangtze River Region, China. Indoor And Built Environment, 2011. 20(1): p. 101-111. [CrossRef] [Google Scholar]
  21. Administration, C.M., The ground climate data of China :Shapingba meteorological station, http://data.cma.cn 2016. [Google Scholar]
  22. ASHRAE, ASHRAE standard 55-2013: thermal environmental conditions for human occupancy. 2013, ASHRAE Atlanta (USA). [Google Scholar]
  23. EPA, Search Terms (Contains): sick building syndrome. 2012. [Google Scholar]
  24. Luo, M.H., et al., The underlying linkage between personal control and thermal comfort: Psychological or physical effects? Energy and Buildings, 2016. 111: p. 56-63. [Google Scholar]
  25. Velt, K.B. and H.A.M. Daanen, Thermal sensation and thermal comfort in changing environments. Journal of Building Engineering, 2017. 10: p. 42-46. [CrossRef] [Google Scholar]
  26. Kalmár, F., Investigation of thermal perceptions of subjects with diverse thermal histories in warm indoor environment. Building and Environment, 2016. 107: p. 254-262. [Google Scholar]
  27. Nicol, F. and M. Humphreys, Derivation of the adaptive equations for thermal comfort in free-running buildings in European standard EN15251. Building And Environment, 2010. 45(1): p. 11-17. [Google Scholar]

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