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Original Articles

A method to generate design-sensitive occupant-related schedules for building performance simulations

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References

  • Andersen, R., V. Fabi, J. Toftum, S.P. Corgnati, and B.W. Olesen. 2013. Window opening behaviour modelled from measurements in Danish dwellings. Building and Environment 69:101–13. doi:10.1016/j.buildenv.2013.07.005
  • ASHRAE 90.1. 2016. ANSI/ASHRAE Standard 90.1-2016 Energy Standard for Buildings Except Low-Rise Residential Buildings.
  • Bennet, I.E., and W. O’Brien. 2017. Office building plug and light loads: Comparison of a multi-tenant office tower to conventional assumptions. Energy Build 153:461–75. doi:10.1016/j.enbuild.2017.08.050
  • Boyce, P., J. Veitch, G. Newsham, C. Jones, J. Heerwagen, M. Myer, and C. Hunter. 2006. Occupant use of switching and dimming controls in offices. Lighting Research & Technology 4:358–76.
  • Breiman, L., J. Friedman, C.J. Stone, and R.A. Olshen. 1984. Classification and Regression Trees Boca Raton, FL: Chapman and Hall/CRC.
  • Delzendeh, E., S. Wu, A. Lee, and Y. Zhou. 2017. The impact of occupants’ behaviours on building energy analysis: A research review. Renewable and Sustainable Energy Reviews 80:1061–71. doi:10.1016/j.rser.2017.05.264
  • Duarte, C., R. Budwig, and K. Van Den Wymelenberg. 2015. Energy and demand implication of using recommended practice occupancy diversity factors compared to real occupancy data in whole building energy simulation. Journal of Building Performance Simulation 8:408–23. doi:10.1080/19401493.2014.966275
  • Feng, X., D. Yan, and T. Hong. 2015. Simulation of occupancy in buildings. Energy Build 87:348–59. doi:10.1016/j.enbuild.2014.11.067
  • Feng, X., D. Yan, and C. Wang. 2017. On the simulation repetition and temporal discretization of stochastic occupant behaviour models in building performance simulation. Journal of Building Performance Simulation 10:612–624. doi:10.1080/19401493.2016.1236838
  • Gaetani, I., P.J. Hoes, and J.L.M. Hensen. 2016. Occupant behavior in building energy simulation: Towards a fit-for-purpose modeling strategy. Energy Build 121:188–204. doi:10.1016/j.enbuild.2016.03.038
  • Gill, Z.M., M.J. Tierney, I.M. Pegg, and N. Allan. 2010. Low-energy dwellings: The contribution of behaviours to actual performance. Building Research & Information 38:491–508. doi:10.1080/09613218.2010.505371
  • Gunay, H.B., W. O’Brien, and I. Beausoleil-Morrison. 2016. Implementation and comparison of existing occupant behaviour models in EnergyPlus. Journal of Building Performance Simulation 9:567–88. doi:10.1080/19401493.2015.1102969
  • Hagan, M.T., H.B. Demuth, and M.H. Beale. 1995. Neural network design. Boston, Massachusetts, PWS 2:734. doi:10.1007/1-84628-303-5
  • Haldi, F. 2013. A probabilistic model to predict building occupants’ diversity towards their interactions with the building envelope. Proceedings of the International Building Performance Simulation Association Conference 1475–82.
  • Haldi, F., and D. Robinson. 2010. Adaptive actions on shading devices in response to local visual stimuli. Journal of Building Performance Simulation 3:135–53. doi:10.1080/19401490903580759
  • Haldi, F., and D. Robinson. 2011. The impact of occupants’ behaviour on building energy demand. Journal of Building Performance Simulation 4:323–38. doi:10.1080/19401493.2011.558213
  • Hong, T., Y. Chen, Z. Belafi, and S. D’Oca. 2017. Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs. Building Simulation 11: 1–14. doi:10.1007/s12273-017-0396-6
  • Hong, T., S. D’Oca, S.C. Taylor-Lange, W.J.N. Turner, Y. Chen, and S.P. Corgnati. 2015. An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Building and Environment 94:196–205. doi:10.1016/j.buildenv.2015.08.006
  • Hong, T., S.C. Taylor-Lange, S. D’Oca, D. Yan, and S.P. Corgnati. 2016. Advances in research and applications of energy-related occupant behavior in buildings. Energy Build 116:694–702. doi:10.1016/j.enbuild.2015.11.052
  • Hunt, D.R.G. 1979. The use of artificial lighting in relation to daylight levels and occupancy. Building and Environment 14:21–33. doi:10.1016/0360-1323(79)90025-8
  • Lindner, A.J.M., S. Park, and M. Mitterhofer. 2017. Determination of requirements on occupant behavior models for the use in building performance simulations. Building Simulation 10: 1–14. doi:10.1007/s12273-017-0394-8
  • Menezes, A.C., A. Cripps, D. Bouchlaghem, and R. Buswell. 2012. Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap. Applied Energy 97:55–364. doi:10.1016/j.apenergy.2011.11.075
  • National Research Council. 2015. National Energy Code of Canada for Buildings 2015.
  • O’Brien, W., and H.B. Gunay. 2015. Mitigating office performance uncertainty of occupant use of window blinds and lighting using robust design. Building Simulation 8:621–36. doi:10.1007/s12273-015-0239-2
  • O’Brien, W., I. Gaetani, S. Gilani, S. Carlucci, P.-J. Hoes, and J.L.M. Hensen. 2017. International survey on current occupant modelling approaches in building performance simulation. Journal of Building Performance Simulation 10: 653–671. doi:10.1080/19401493.2016.1243731
  • O’Brien, W., H.B. Gunay, F. Tahmasebi, and A. Mahdavi. 2016. A preliminary study of representing the inter-occupant diversity in occupant modelling. Journal of Building Performance Simulation 10:509–526. doi:10.1080/19401493.2016.1261943
  • Page, J., D. Robinson, N. Morel, and J. Scartezzini. 2008. A generalised stochastic model for the simulation of occupant presence. Energy Build 40:83–98. doi:10.1016/j.enbuild.2007.01.018
  • Parys, W., D. Saelens, and H. Hens. 2011. Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices—A review-based integrated methodology. Journal of Building Performance Simulation 4:339–58. doi:10.1080/19401493.2010.524711
  • Reinhart, C.F. 2004. Lightswitch-2002: A model for manual and automated control of electric lighting and blinds. Solar Energy 77:15–28. doi:10.1016/j.solener.2004.04.003
  • Reinhart, C.F., and O. Walkenhorst. 2001. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. Energy Build 33:683–97. doi:10.1016/S0378-7788(01)00058-5
  • Virote, J., and R. Neves-Silva. 2012. Stochastic models for building energy prediction based on occupant behavior assessment. Energy Build 53:183–93. doi:10.1016/j.enbuild.2012.06.001
  • Wang, D., C.C. Federspiel, and F. Rubinstein. 2005. Modeling occupancy in single person offices. Energy Build 37:121–126. doi:10.1016/j.enbuild.2004.06.015
  • Yan, D., W. O’Brien, T. Hong, X. Feng, H. Burak Gunay, F. Tahmasebi, and A. Mahdavi. 2015. Occupant behavior modeling for building performance simulation: Current state and future challenges. Energy Build 107:264–78. doi:10.1016/j.enbuild.2015.08.032
  • Yu, Z., F. Haghighat, B.C.M. Fung, and H. Yoshino. 2010. A decision tree method for building energy demand modeling. Energy Build 42:1637–46. doi:10.1016/j.enbuild.2010.04.006

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