Open Access
Issue
Int. J. Metrol. Qual. Eng.
Volume 4, Number 2, 2013
Page(s) 135 - 144
DOI https://doi.org/10.1051/ijmqe/2013044
Published online 07 November 2013
  1. C.M. Clevenger, J. Haymaker, The impact of the building occupant on energy modeling simulations, in Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 2006, pp. 3637–3646
  2. A. Mahdavi, C. Proglhof, User behavior and energy performance in buildings, Internationalen Energiewirtschaftagung an der TU Wien, IEWT (2009)
  3. P. Hoes, J.L.M. Hensen, M.G.L.C. Loomans, B. de Vries, D. Bougeois, User behavior in whole building simulation, Energy Build. 41, 295–302 (2009) [CrossRef]
  4. W. Parys, D. Saelens, H. Hens, Implementing realistic occupant behavior in building energy simulations – the effect on the results of an optimization of office buildings, in Proceedings of the 10th REHVA World Congress Sustainable Energy use in Buildings, Antalya, 2010, pp. 1−8
  5. D. Bourgeois, J. Hand, I. Mcdonald, C. Reinhart, Adding sub-hourly occupancy prediction, occupancy-sensing control and manual environmental control to ESP-r, in Proceeding of Esim 2004, Vancouver, BC, 2004, pp. 119–126
  6. K. Roth, P. Engelmann, Impact of user behavior on energy consumption in high performance buildings results from two case studies (Fraunhofer Center for Sustainable Energy Systems, Denver, CO, 2010)
  7. J. Pfafferott, S. Herkel, Statistical simulation of user behaviour in low energy office buildings, in International Conference passive and low energy cooling for the built environment, Santorini, Greece, 2005, pp. 721–726
  8. J. Seryak, K. Kissock, Occupancy and behavioural affects on residential energy use, in Proceedings of the Solar Energy Conference, Kohala Coast, Hawaii, 2003
  9. D. Lindelof, N. Morel, A field investigation of the intermediate light swithing by users, Energy Build. 38, 790–801 (2006) [CrossRef]
  10. D. Bourgeois, C. Reinhart, I. Macdonald, Adding advanced behavioural models in whole building energy simulation: a study on the total energy impact of manual and automated lighting control, Energy Build. 38, 814–823 (2006) [CrossRef]
  11. D. Bourgeois, C. Reinhart, I. Macdonald, Assessing the total energy impact of occupant behavioural response to manual and automated lighting systems, in Proceedings of the buildings simulaton 2005, Montreal, Canada, 2005, pp. 1–8
  12. F. Nicol, H. Rijal, M. Humphreys, Characterising the use of windows in thermal simulation, in 2nd PALENC Conference and 28th AIVC Conference on building low energy cooling and advanced ventilation technologies in the 21st century, Crete Island, Greece, 2007
  13. F. Haldi, Towards a unified model of occupants’ behaviour and comfort for building energy simulation, Ph.D. thesis, École polytechnique fédérale de Lausanne, 2010
  14. J. Page, Simulating occupant presence and behaviour in buildings, Ph.D. thesis, École polytechnique fédérale de Lausanne, 2007
  15. G. Zimmermann, Modeling and simulation of individual user behavior for building performance predictions, in Proceedings of the 2007 Summer Computer Simulation Conference, SCSC 2007, San Diego, California, 2007, pp. 913–920
  16. D. Bourgeois, Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modelling within whole building energy simulation, Ph.D. thesis, Université Laval, 2005
  17. J.F. Nicol, Characterising occupant behaviour in buildings: toward a stochastic model of occupant use of windows, lights, blinds, heaters and fans, in Proceedings of 7th IBPSA conference, IBPSA 2001, Rio de Janeiro, Brazil, 2001, pp. 1073–1078
  18. B. Moujalled, Modélisation dynamique du confort thermique dans les bâtiments naturellement ventilés, Ph.D. thesis, INSA, Lyon, 2007
  19. P. Tuohy, H.B. Rijal, M.A. Humphreys, J.F. Nicol, A. Samuel, J. Clarke, Comfort driven adaptative window opening behavior and the influence of building design, in Proceeding of Building Simulation 2007, 10th IBPSA Conference, pp. 717–724
  20. R. Cantin, B. Moujalled, G. Guarrano, Complexité du confort thermique dans les bâtiments, in 6e congrès Européen de science des systèmes, Paris, France, 2005
  21. F. Thellier, F. Monchoux, M. Endravadan, Prise en compte du comportement adaptatif de l’être humain dans la simulation thermique de l’habitat, in Congrès Français de Thermique, Île des Embiez, 2007
  22. CSTB. Réglementation thermique 2005, French Code on Envelope Thermal Performance for Buildings, 2006
  23. ASHRAE 2002, Measurement of energy and demand savings, ASHRAE Guideline 14-2002, Atlanta, GA, 2002
  24. B. Fleury, P. Niard, Comportement des occupants vis-à-vis de l’ouverture des fenêtres. Électricité de France, direction des études et recherches, service application de l’électricité et environnement, département application de l’électricité, Groupe habitat, novembre 1990
  25. D. Delaney, G. O’Hare, A. Ruzzelli, Evaluation of energy-efficiency in lighting systems using sensor networks, in Proceedings of the First ACM Workshop, on Embedded Sensing Systems for Energy Efficiency in Buildings, Berkeley, CA, USA, 2009, pp. 61–66
  26. R. Donzel, Low cost energy and occupancy monitoring system with high time resolution for non weather dependant appliances, Fourth year internship report (INSA Lyon, Berkeley lab.), 2008
  27. N. Cordier, Développement de stratégies de contrôle de ventilation appliquées aux locaux de grande dimension, Ph.D. thesis, INSA Lyon, Institut National des Sciences Appliquées, 2007
  28. A. Ansanay, Estimating occupancy using indoor carbon dioxide concentrations only in an office building: a method and qualitative assessment, CLIMA 2013, in 8th International Conference on IAQVEC, 2013 (to appear)
  29. T. Ekwevugbe, N. Brown, D. Fan, Using indoor climatic measurements for occupancy, monitoring, in Proceedings of 4th West Africa, Built Environment Research (WABER) Conference, 2012, Abuja, Nigeria, edited by S. Laryea, S.A. Agyepong, R. Leiringer, W. Hughes, pp. 507–520
  30. D. Bing, A. Burton, Sensor based occupancy behavioral pattern recognition for energy and confort management in intelligent buildings, in 11th International IBPSA Conference, Glasgow, Scotland, 2009
  31. K. Lam, M. Hoynck, B. Dong, B. Andrews, Y. Chiou, R. Zhang, D. Benitez, J. Choi, Occupancy detection through an extensive environmental sensor network in an open plan office building, in 11th International IBPSA Conference, Glasgow, Scotland, 2009, pp. 1452–1459
  32. R. Tomastik, Y. Lin, A. Banaszuk, Video based estimation of building occupancy during emergency egress, in Proceeding of American control Conference, Washington, USA, 2008
  33. V.L. Erickson, Y. Lin, A. Kamthe, R. Brahme, A. Surana, A. Cerpa, M. Sohn, S. Narayanan, Energy efficient building environment control strategies using real time occupancy measurements, in Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys ’09), Berkeley, California, 2009, pp. 19–24
  34. J. Hutchins, A. Ihler, P. Smyth, Modeling count data from multiple sensors: a building occupancy model, in 2nd IEEE International Workshop on Computational advances in multi sensor adaptative processing (CAMPSAP), 2007, pp. 241–244
  35. E. Lemerrer, E. Cayre, C. Vota, Gestion de l’énergie par les contacts de feuillure. Électricité de France, direction des études et recherches, service application de l’électricité et environnement, département application de l’électricité, Groupe habitat EDF, juillet 1994
  36. H.B. Rijal, P. Tuohy, F. Nicol, M.A. Humphreys, J. Clarke, A window opening algorithm and UK office temperature: fiel results and thermal simulation, Building simulation, 2007
  37. V. Inkarojrit, G. Paliaga, Indoor climatic influences on the operation of windows in a naturally ventilated building, in 12th Conference on passive and low energy architecture, Eindhoven, The Nederlands, 2004
  38. P. Eslami-nejad, M. Bernier, Impact of grey water heat recovery on the electrical demand of domestic hot water heaters, in 11th IBPSA Conference, Glasgow, 2009

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