Thèses

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Articles scientifiques

  • Cabeza, L. F., Q. Bai, P. Bertoldi, J.M. Kihila, A.F.P. Lucena, É. Mata, S. Mirasgedis, A. Novikova, Y. Saheb, 2022: Buildings. In IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA. doi: 10.1017/9781009157926.011
  • Collo, F., & Yannas, S. (2020). A contemporary review of Grupo Austral’s housing typologies for Argentina’s countryside. Architectural Science Review, 1–11. doi:10.1080/00038628.2020.1779023
  • Creutzig F. et al. (2016). Beyond Technology: Demand-Side Solutions for Climate Change Mitigation. Annual Review of Environment and Resources, Vol. 41:173-198.
  • Fu, X., & Han, M. (2020). Analysis of Natural Ventilation Performance Gap between Design Stage and Actual Operation of Office Buildings. E3S Web of Conferences, 172, 09010. doi:10.1051/e3sconf/202017209010
  • Freitas, J. de S., Cronemberger, J., Soares, R. M., & David Amorim, C. N. (2020). Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug. Renewable Energy. doi:10.1016/j.renene.2020.05.137
  • Frontczak, M., Schiavon, S., Goins, J., Arens, E., Zhang, H., & Wargocki, P. (2011). Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. Indoor Air, 22(2), 119–131. doi:10.1111/j.1600-0668.2011.00745.x
  • Givoni, B. (1992). Comfort, climate analysis and building design guidelines. Energy and Buildings, 18(1), 11–23. doi:10.1016/0378-7788(92)90047-k
  • Hoes P., Hensen J., Loomans M., de Vries B. et Bourgeois D. (2009). User behavior in whole building simulation. Energy and Buildings, vol. 41, no. 3, p. 295–302. doi:10.1016/j.enbuild.2008.09.008
  • IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, 184 pp., doi: 10.59327/IPCC/AR6-9789291691647.
  • Langevin, J., Wen, J., & Gurian, P. L. (2015). Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors. Building and Environment, 88, 27–45. doi:10.1016/j.buildenv.2014.11.037
  • Lourenço, P., Pinheiro, M. D., & Heitor, T. (2019). Light use patterns in Portuguese school buildings: User comfort perception, behaviour and impacts on energy consumption. Journal of Cleaner Production, 228, 990–1010. doi:10.1016/j.jclepro.2019.04.144
  • Ménard, R., & Souviron, J. (2020). Passive Solar Heating through Glazing: The Limits and Potential for Climate Change Mitigation in the European Building Stock. Energy and Buildings, 110400. doi:10.1016/j.enbuild.2020.110400
  • Rijal, H. B., Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., & Clarke, J. (2007). Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings. Energy and Buildings, 39(7), 823–836. doi:10.1016/j.enbuild.2007.02.003
  • Rijal, H. B., Tuohy, P., Humphreys, M. A., Nicol, J. F., & Samuel, A. (2011). An algorithm to represent occupant use of windows and fans including situation-specific motivations and constraints. Building Simulation, 4(2), 117–134. doi:10.1007/s12273-011-0037-4
  • Sadeghipour Roudsari, Mostapha & Pak, M.. (2013). Ladybug: A parametric environmental plugin for grasshopper to help designers create an environmentally-conscious design. Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association. 3128-3135.
  • Souviron, J., van Moeseke, G., & Khan, A. Z. (2019). Analysing the environmental impact of windows: A review. Building and Environment, 161, 106268. doi:10.1016/j.buildenv.2019.106268