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Case Report

Quantification of the energy use due to occupant behaviour collected in surveys: a case study of a green and non-green building

, ORCID Icon &
Pages 777-803 | Received 29 May 2020, Accepted 14 Sep 2020, Published online: 04 Oct 2020

References

  • ABCB. 2006. Protocol for building energy analysis software, for Class 3, 5, 6, 7, 8 and 9 buildings. Australian Building Codes Board (Version 2006.1).
  • ABCB. 2016. National Construction Code, Building Code of Australia, Class 2 to Class 9 Buildings. Volume One.
  • Al-Mumin, A., O. Khattab, and G. Sridhar. 2003. “Occupants’ Behavior and Activity Patterns Influencing the Energy Consumption in the Kuwaiti Residences.” Energy and Buildings 35 (6): 549–559. doi: 10.1016/S0378-7788(02)00167-6
  • Almeida, L., V. M. Y. Tam, K. N. Le, and Y. She. 2020. “Effects of Occupant Behaviour on Energy Performance in Buildings: A Green and Non-green Building Comparison.” Engineering, Construction and Architectural Management. doi:10.1108/ECAM-11-2019-0653.
  • Andersen, R. V., et al. 2009. “Survey of Occupant Behaviour and Control of Indoor Environment in Danish Dwellings.” Energy and Buildings 41 (1): 11–16. doi: 10.1016/j.enbuild.2008.07.004
  • ASHRAE. 2004. Procedures for Commercial Building Energy Audits. 2nd ed. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • ASHRAE. 2007. ASHRAE 90-1: Energy Standard for Buildings Except Low-Rise Residential Buildings. I-P ed. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • ASHRAE. 2009. “Nonresidential Cooling and Heating Load Calculations.” In ASHRAE Handbook—Fundamentals, edited by Mark S. Owen and Heather E. Kennedy, 18.1–18.62. Atlanta, GA: W. Stephen Comstock.
  • ASHRAE. 2013. ANSI/ASHRAE Standard 55-2013, Thermal Environmental Conditions for Human Occupancy. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • Assembly, U. G. 2015. Transforming our world: the 2030 Agenda for Sustainable Development. Resolution adopted by the General Assembly on 25 September 2015, Seventieth session, Agenda items 15 and 116.
  • Azizi, N. S. M., S. Wilkinson, and E. Fassman. 2015. “Do Occupants in Green Buildings Practice Better Energy Saving Behaviour in Computer Usage Than Occupants in Conventional Buildings?” Journal of Green Building 10 (4): 178–193. doi: 10.3992/jgb.10.4.178
  • Barthelmes, V. M., et al. 2018. “Profiling Occupant Behaviour in Danish Dwellings Using Time use Survey Data.” Energy & Buildings 177: 329–340. doi: 10.1016/j.enbuild.2018.07.044
  • Belafi, Z. D., T. Hong, and A. Reith. 2018. “A Critical Review on Questionnaire Surveys in the Field of Energy-Related Occupant Behaviour.” Energy Efficiency 11 (8): 2157–2177. doi: 10.1007/s12053-018-9711-z
  • Bent, C., and Z. Kmetty. 2017. “Intelligent Energy Feedback: Tailoring Advice Based on Consumer Values.” ECEEE Summer Study Consumption, Efficiency & Limits.
  • Bluyssen, M., et al. 1996. “European Indoor Air Quality Audit Project in 56 Office Buildings.” Indoor Air-International Journal of Indoor Air Quality and Climate 6: 221–238.
  • Branco, G., et al. 2004. “Predicted Versus Observed Heat Consumption of a low Energy Multifamily Complex in Switzerland Based on Long-Term Experimental Data.” Energy and Buildings 36: 543–555. doi: 10.1016/j.enbuild.2004.01.028
  • Crosbie, T., and K. Baker. 2010. “Energy-efficiency Interventions in Housing: Learning From the Inhabitants.” Building Research & Information 38 (1): 70–79. doi: 10.1080/09613210903279326
  • Department_of_the_Environment_and_Energy. 2018. National Greenhouse Accounts Factors. Australian National Greenhouse Accounts. Australia Government. Commonwealth of Australia. www.environment.gov.au
  • D’Oca, S., T. Hong, and J. Langevin. 2018. “The Human Dimensions of Energy use in Buildings: A Review.” Renewable and Sustainable Energy Reviews 81: 731–742. doi: 10.1016/j.rser.2017.08.019
  • DoE. 2016. Engineering Reference. EnergyPlus™ Documentation. Version 8.7.
  • de Wilde, P. 2014. “The gap Between Predicted and Measured Energy Performance of Buildings: A Framework for Investigation.” Automation in Construction 41: 40–49. doi: 10.1016/j.autcon.2014.02.009
  • EEC. 2016. Australian Energy Efficiency Policy Handbook – Save Energy, Grow the Economy. 1st ed. West Melbourne: Energy Efficiency Council 2016.
  • Ek, K., and P. Söderholm. 2010. “The Devil is in the Details: Household Electricity Saving Behavior and the Role of Information.” Energy Policy 38 (3): 1578–1587. doi: 10.1016/j.enpol.2009.11.041
  • EN_ISO_10551. 1995. Ergonomics of the Thermal Environment - Assessment of the Influence of the Thermal Environment Using Subjective Judgement Scales. 1st ed. Geneve: ISO Standards, p. 18.
  • Fabbri, K. 2013. “Thermal Comfort Evaluation in Kindergarten: PMV and PPD Measurement Through Datalogger and Questionnaire.” Building and Environment 68: 202–214. doi: 10.1016/j.buildenv.2013.07.002
  • Fanger, P. O. 1970. Thermal Comfort. Analysis and Applications in Environmental Engineering. Copenhagen: Danish Technical Press. 244 pp.
  • Feng, X., et al. 2016. “A Preliminary Research on the Derivation of Typical Occupant Behavior Based on Large-Scale Questionnaire Surveys.” Energy and Buildings 117: 332–340. doi: 10.1016/j.enbuild.2015.09.055
  • GBCA. 2013. The Value of Green Star - A Decade of Environmental Benefits.
  • GBCA. 2015. Energy Consumption and Greenhouse Gas Emissions Calculator Guide. Green Star – Design & As Built and in Green Star – Interiors: p. 4.
  • Geng, Y., et al. 2019. “A Review of Operating Performance in Green Buildings: Energy use, Indoor Environmental Quality and Occupant Satisfaction.” Energy and Buildings 183: 500–514. doi: 10.1016/j.enbuild.2018.11.017
  • Gucyeter, B. 2018. Calibration of a building energy performance simulation model via monitoring data. 2018 Building Performance Analysis Conference and SimBuild co-organized by ASHRAE and IBPSA-USA, 2018. September 26–28: p. 542–549.
  • Hong, T., et al. 2015. “An Ontology to Represent Energy-Related Occupant Behavior in Buildings. Part I: Introduction to the DNAs Framework.” Building and Environment 92: 764–777. doi: 10.1016/j.buildenv.2015.02.019
  • Hong, T., et al. 2016a. “Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings.” Energy and Buildings 116: 694–702. doi: 10.1016/j.enbuild.2015.11.052
  • Hong, T., et al. 2016b. “An Occupant Behavior Modeling Tool for co-Simulation.” Energy and Buildings 117: 272–281. doi: 10.1016/j.enbuild.2015.10.033
  • Hong, T., et al. 2017. “Ten Questions Concerning Occupant Behavior in Buildings: The big Picture.” Building and Environment 114: 518–530. doi: 10.1016/j.buildenv.2016.12.006
  • Hong, T., and H.-W. Lin. 2013. Occupant Behavior: Impact on Energy Use of Private Offices. Shanghai: Ernest Orlando Lawrence Berkeley National Laboratory.
  • Hyysalo, S. 2013. “Book Reviews - The Dynamics of Social Practice: Everyday Life and how it Changes, Elizabeth Shove, Mika Pantzar and Matt Watson. Sage, 2012.” Nordic Journal of Science and Technology Studies 1 (1): 41–43. doi: 10.5324/njsts.v1i1.2125
  • IBM. 2018. SPSS software Version 25. IBM. https://www.ibm.com/analytics/spss-statistics-software.
  • IEA. 2016a, Energy Efficiency Market Report 2016. Paris: IEA, International Energy Agency: p. 17.
  • IEA. 2016b. IEA-EBC Annex 66 - Definition and Simulation of Occupant Behaviour in Buildings. Energy in Buildings anc Communities Program, viewed 6 June 2016. http://www.annex66.org/.
  • Janda, K. B. 2011. “Buildings Don't use Energy: People do.” Architectural Science Review 54 (1): 15–22. doi: 10.3763/asre.2009.0050
  • Khashe, S., et al. 2015. “Influence of LEED Branding on Building Occupants’ pro-Environmental Behavior.” Build. Environ 94: 477–488. doi: 10.1016/j.buildenv.2015.10.005
  • Klöckner, C. A. 2019. “Understanding the Social Dynamics of Consumer Energy Choices – Some Lessons Learned From two H2020 Projects (ECHOES, SMARTEES).” ECEEE Summer Study Procedigs, The Dynamics of Limiting (Energy) Consumption 1-013-19.
  • Laura M. M. C. E. A., V. W. Y. Tam, K. N. Le, Z. Huang, and S. Forbes. 2020. “Survey of Energy-Related Occupant Perceptions in a Green-Rated and in a Non-Rated Building.” Advances in Building Energy Research. doi: 10.1080/17512549.2020.1768897
  • Leaman, A., and B. Bordass. 2007. “Are Users More Tolerant of ‘Green’ Buildings?” Building Research and Information 35: 662–673. doi: 10.1080/09613210701529518
  • Mahdavi, A., et al. 2008. “Occupants’ Operation of Lighting and Shading Systems in Office Buildings.” Journal of Building Performance Simulation 1 (1): 57–65. doi: 10.1080/19401490801906502
  • MAOTESESS. 2013. Portaria n.° 349-D/2013. Diário da República, 1.ª série, N.° 233.
  • Masoso, O. T., and L. J. Grobler. 2010. “The Dark Side of Occupants’ Behaviour on Building Energy use.” Energy and Buildings 42 (2): 173–177. doi: 10.1016/j.enbuild.2009.08.009
  • Mitzenmacher, M., and E. Upfal. 2005. Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge: Cambridge University Press.
  • Mourik, R., S. Breukers, and S. Rotmann. 2017. Subtask 6&7: Case Studies NL, Task 24 – Phase II Behaviour Change in DSM: Helping the Behaviour Changers. International Energy Agency, Technology Collaboration Platform, Demand Side Management Technologies and Programmes. Higher Education and ICT.
  • Newsham, G. R., S. Mancini, and B. J. Birt. 2009. “Do LEED-Certified Buildings Save Energy? Yes, but … .” Energy and Buildings 41 (8): 897–905. doi: 10.1016/j.enbuild.2009.03.014
  • Nicol, J. 2001. “Characterising Occupant Behaviour in Buildings: Towards a Stochastic Model of Occupant use of Windows, Lights, Blinds, Heaters and Fans.” Proceedings of the Seventh International IBPSA Conference, Rio 2: 1073–1078.
  • Nicol, J. F., and M. A. Humphreys. 2002. “Adaptive Thermal Comfort and Sustainable Thermal Standards for Buildings.” Energy and Buildings 34 (6): 563–572. doi: 10.1016/S0378-7788(02)00006-3
  • Nisiforou, O. A., S. Poullis, and A. G. Charalambides. 2012. “Behaviour, Attitudes and Opinion of Large Enterprise Employees with Regard to Their Energy Usage Habits and Adoption of Energy Saving Measures.” Energy and Buildings 55: 299–311. doi: 10.1016/j.enbuild.2012.08.034
  • Norford, L. K., et al. 1994. “Two-to-one Discrepancy Between Measured and Predicted Performance of a ‘low-Energy’ Office Building: Insights From Reconciliation Based on the DOE-2model.” Energy and Buildings 21: 121–131. doi: 10.1016/0378-7788(94)90005-1
  • Pallant, J. 2003. SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS. Berkshire: McGraw-Hill Education.
  • Polinder, H., et al. 2013. Occupant Behavior and Modeling. Birmingham: International Energy Agency, Energy in Buildings and Communities, 2.
  • R_Core_team. 2012. R: A Language and Envronmental for Statistical Computing. Viennna: R Foundation for Statistical Computing. , Austria, ISBN 3-900051-07-0, http://www.R-project-org/.
  • Stazi, F., F. Naspi, and M. D'Orazio. 2017. “A Literature Review on Driving Factors and Contextual Events Influencing Occupants’ Behaviours in Buildings.” Building and Environment 118: 40–66. doi: 10.1016/j.buildenv.2017.03.021
  • Tam, V., L. Almeida, and K. Le. 2018. “Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review.” Sustainability 10 (8): 2635. doi: 10.3390/su10082635
  • UN. 2016. Transforming Our World: The 2030 Agenda for Sustainable Development. United Nations, A/RES/70/1.
  • Wagner, A., and L. O’Brien. 2018. Occupant Behaviour-Centric Building Design and Operation EBC Annex 79. IEA, Energy in Buildings and Communities Programme.
  • Yan, D., et al. 2015. “Occupant Behavior Modeling for Building Performance Simulation: Current State and Future Challenges.” Energy and Buildings 107: 264–278. doi: 10.1016/j.enbuild.2015.08.032
  • Yan, D., et al. 2017. “IEA EBC Annex 66: Definition and Simulation of Occupant Behavior in Buildings.” Energy and Buildings 156: 258–270. doi: 10.1016/j.enbuild.2017.09.084
  • Yan, D., and T. Hong. 2018. Definition and Simulation of Occupant Behavior in Buildings - Annex 66 Final Report. International Energy Agency, EBC Annex 66.
  • Yoon, J.-H., and E.-J. Lee. 1999. Calibration procedure of energy performance simulation model for a commercial building. Division of New and Renewable Energy Research, 1999. Korea Institute of Energy Research: p. 305–343.
  • Yoshino, H., T. Hong, and N. Nord. 2017. “IEA EBC Annex 53: Total Energy use in Buildings—Analysis and Evaluation Methods.” Energy and Buildings 152: 124–136. doi: 10.1016/j.enbuild.2017.07.038

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