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Original Articles

Do building energy codes adequately reward buildings that adapt to partial occupancy?

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References

  • Abuimara, T., W. O'Brien, B. Gunay, A. Abdelalim, M. Ouf, and S. Gilani. 2018. Modelling occupants in buildings: Stakeholders’ workshop on current barriers, challenges and needs. eSim 2018. Montreal, Quebec, May 8–9.
  • American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE). 2011. Advanced Energy Design Guide for Small to Medium Office Buildings. Atlanta, GA: ASHRAE.
  • American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE). 2013. Handbook - Fundamentals. Atlanta, GA: ASHRAE.
  • American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE). 2016. 62.1-2016, Ventilation for Acceptable Indoor Air Quality. Atlanta, GA: ASHRAE.
  • Bourgeois, D., C. Reinhart, and I. Macdonald. 2006. Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control. Energy and Buildings 38(7):814–23.
  • Brandemuehl, M.J., and J.E. Braun. 1999. The impact of demand-controlled and economizer ventilation strategies on energy use in buildings. ASHRAE Transactions 105:39.
  • de Bakker, C., M. Aries, H. Kort, and A. Rosemann. 2017. Occupancy-based lighting control in open-plan office spaces: A state-of-the-art review. Building and Environment112:308–21.
  • Dong, B., M.B. Kjaergaard, M. De Simone, H.B. Gunay, W. O’Brien, D. Mora, J. Dziedzic, and J. Zhao. 2018. Exploring Occupant Behavior in Buildings: Methods and Challenges, pp. 77–105, Sensing and Data Acquisition. A. Wagner, W. O'Brien, and B. Dong, ed. Cham: Springer International Publishing.
  • Duarte, C., K. Van Den Wymelenberg, and C. Rieger. 2013. Revealing occupancy patterns in an office building through the use of occupancy sensor data. Energy and Buildings 67:587–95.
  • Erickson, V.L., and A.E. Cerpa. 2010. Occupancy based demand response HVAC control strategy. Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, ACM.
  • Erickson, V.L., Y. Lin, A. Kamthe, R. Brahme, A. Surana, A.E. Cerpa, M.D. Sohn, and S. Narayanan. 2009. Energy efficient building environment control strategies using real-time occupancy measurements. Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, ACM.
  • Fernandes, L.L., E.S. Lee, D.L. DiBartolomeo, and A. McNeil. 2014. Monitored lighting energy savings from dimmable lighting controls in The New York Times Headquarters Building. Energy and Buildings 68:498–514.
  • Fisk, W.J., and A.T. De Almeida. 1998. Sensor-based demand-controlled ventilation: A review. Energy and Buildings 29(1):35–45.
  • Galasiu, A.D., and G.R. Newsham. 2009. Energy savings due to occupancy sensors and personal controls: A pilot field study. Proceedings of Lux Europa 2009.
  • Galasiu, A.D., G.R. Newsham, C. Suvagau, and D.M. Sander. 2007. Energy saving lighting control systems for open-plan offices: a field study. Leukos 4(1):7–29.
  • Gilani, S., and W. O'Brien. 2018. A preliminary study of occupants’ use of manual lighting controls in private offices: A case study. Energy and Buildings 159:572–86.
  • Gilani, S., W. O’Brien, and B. Gunay. 2018. Simulation of occupants' impact at different spatial scales. Building and Environment 132:327–37.
  • Guillemin, A., and S. Molteni. 2002. An energy-efficient controller for shading devices self-adapting to the user wishes. Building and Environment 37(11):1091–97.
  • Gunay, H.B., A. Fuller, W. O’Brien, and I. Beausoleil- Morrison. 2016. Detecting occupants' presence in office spaces: A case study. eSim 2016. Hamilton, Ontario.
  • Gunay, H.B., W. O'Brien, and I. Beausoleil-Morrison. 2015. Development of an occupancy learning algorithm for terminal heating and cooling units. Building and Environment 93(2):71–85.
  • 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(6):567–88.
  • Gunay, H.B., W. O'Brien, I. Beausoleil-Morrison, and J. Bursill. 2018. Development and implementation of a thermostat learning algorithm.Science and Technology for the Built Environment 24(1):43–56.
  • Gunay, H.B., W. O'Brien, I. Beausoleil-Morrison, and S. Gilani. 2017. Development and implementation of an adaptive lighting and blinds control algorithm. Building and Environment 113:185–99.
  • Gunay, H.B., W. O'Brien, I. Beausoleil-Morrison, and B. Huchuk. 2014. On adaptive occupant-learning window blind and lighting controls. Building Research & Information 42(6):739–56.
  • Gunay, H.B., W. O’Brien, I. Beausoleil-Morrison, W. Shen, G. Newsham, and I. Macdonald. 2017. The Effect of Zone Level Occupancy Characteristics on Adaptive Controls. San Francisco, CA: Building Simulation.
  • Haldi, F., and D. Robinson. 2011. The impact of occupants' behaviour on building energy demand. Journal of Building Performance Simulation 4(4):323–38.
  • Harris, R. 2015. The changing nature of the workplace and the future of office space. Journal of Property Investment & Finance 33(5):424–35.
  • Holland, P., and A. Bardoel. 2016. The impact of technology on work in the twenty-first century: Exploring the smart and dark side. The International Journal of Human Resource Management 27(21):2579–81.
  • Hong, T., and W.J. Fisk. 2010. Assessment of Energy Savings Potential from the Use of Demand Controlled Ventilation in General Office Spaces in California. Berlin: Building Simulation, Springer.
  • Labeodan, T., W. Zeiler, G. Boxem, and Y. Zhao. 2015. Occupancy measurement in commercial office buildings for demand-driven control applications—A survey and detection system evaluation. Energy and Buildings 93:303–14.
  • Liu, G., B. Liu, W. Wang, J. Zhang, R. A. Athalye, D. Moser, E. Crowe, N. Bengtson, M. Effinger, and L. Webster. 2011. Advanced Energy Retrofit Guide Office Buildings. Richland, WA: Pacific Northwest National Lab. (PNNL).
  • Liu, G., J. Zhang, and A. Dasu. 2012. Review of literature on terminal box control, occupancy sensing technology and multi-zone demand control ventilation (DCV). Oak Ridge, TN: US Department of Energy, Tech. Rep.
  • Melfi, R., B. Rosenblum, B. Nordman, and K. Christensen. 2011. Measuring building occupancy using existing network infrastructure. Green Computing Conference and Workshops (IGCC), 2011 International, IEEE.
  • Merkel, J. 2015. Coworking in the city. ephemera 15(2):121–39.
  • Messenger, J.C., and L. Gschwind. 2016. Three generations of Telework: New ICT s and the (R) evolution from Home Office to Virtual Office. New Technology, Work and Employment 31(3):195–208.
  • Mokhtarian, P.L., G.O. Collantes, and C. Gertz. 2004. Telecommuting, residential location, and commute-distance traveled: Evidence from State of California employees. Environment and Planning A 36:1877–98.
  • Nagy, Z., F.Y. Yong, M. Frei, and A. Schlueter. 2015. Occupant centered lighting control for comfort and energy efficient building operation. Energy and Buildings 94:100–108.
  • Nassif, N. 2012. A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems. Energy and Buildings 45:72–81.
  • Natural Research Council of Canada (NRC). 2015. National Energy Code of Canada for Buildings, Natural Resources Canada (NRCan). Third Edition. ISBN 0-660-03627-4.
  • National Research Council Canada (NRC). 2015. National Energy Code of Canada for Buildings 2015. Ottawa, Canada, Canada.
  • O'Brien, W., I. Gaetani, S. Carlucci, P.-J. Hoes, and J.L.M. Hensen. 2017. On occupant-centric building performance metrics. Building and Environment 122:373–85.
  • O’Brien, W., I. Gaetani, S. Gilani, S. Carlucci, P.-J. Hoes, and J. Hensen. 2017. International survey on current occupant modelling approaches in building performance simulation. Journal of Building Performance Simulation 10(5–6):653–71.
  • O'Brien, W., B. Gunay, M. Ouf, A. Abdelalim, and S. Gilani. 2018. Roadmap for occupant modelling in building codes and standards. Building Performance Simulation Conference, 9–10 May 2018, Montreal, Quebec, Canada, pp. 1–10.
  • O'Brien, W., and H.B. Gunay. 2014. The contextual factors contributing to occupants' adaptive comfort behaviors in offices–A review and proposed modeling framework. Building and Environment 77:77–87.
  • 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(6):621–36.
  • O’Brien, W., H.B. Gunay, F. Tahmasebi, and A. Mahdavi. 2017. A preliminary study of representing the inter-occupant diversity in occupant modelling. Journal of Building Performance Simulation 10(5–6):509–26.
  • Page, J., D. Robinson, N. Morel, and J.-L. Scartezzini (2008). "A generalised stochastic model for the simulation of occupant presence." Energy and Buildings 40(2): 83–98.
  • Pandharipande, A., and D. Caicedo. 2011. Daylight integrated illumination control of LED systems based on enhanced presence sensing. Energy and Buildings 43(4):944–50.
  • Peng, Y., A. Rysanek, Z. Nagy, and A. Schlüter. 2018. Using machine learning techniques for occupancy-prediction-based cooling control in office buildings. Applied Energy 211:1343–58.
  • Pigg, S., M. Eilers, and J. Reed. 1996. Behavioral aspects of lighting and occupancy sensors in private offices: A case study of a university office building. ACEEE 1996 Summer Study on Energy Efficiency in Buildings Pacific Grove, CA.
  • Reinhart, C.F. 2004. Lightswitch-2002: a model for manual and automated control of electric lighting and blinds. Solar Energy 77(1):15–28.
  • Rubinstein, F., N. Colak, J. Jennings, and D. Neils. 2003. Analyzing occupancy profiles from a lighting controls field study. CIE Session 2003, San Diego, CA (US).
  • Rubinstein, F., and A. Enscoe. 2010. Saving energy with highly-controlled lighting in an open-plan office. Leukos 7(1):21–36.
  • Shen, W., G. Newsham, and B. Gunay. 2017. Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review. Advanced Engineering Informatics 33:230–42.
  • Tzempelikos, A. 2010. The impact of manual light switching on lighting energy consumption for a typical office building. High Performance Buildings Conference, West Lafayette, Indiana.
  • Wang, D., C.C. Federspiel, and F. Rubinstein. 2005. Modeling occupancy in single person offices. Energy and Buildings 37(2):121–26.
  • Zhang, B., Y. Li, J. Lau, and M. Liu. 2014. Demand control ventilation: Influence of terminal box minimum airflow setting on system energy use. Energy and Buildings 79:173–83.

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