The impact of occupant behaviour on residential greenhouse gas emissions reduction

Journal of Green Building

Volumn 10, Issue 4, 2015, Pages 127-140

  Hetherington, Joshua ^a   Roetzel, Astrid ^a   Fuller, Robert ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Greenhouse gas emissions; Occupant behavior impact; Ranking; Simulations

Indexed keywords

COOLING; EMISSION CONTROL; ENERGY EFFICIENCY; ENERGY UTILIZATION; GREENHOUSE GASES; HEATING; HOUSING; LIGHTING; THERMOSTATS;

COOLING SET-POINTS; GREENHOUSE GAS EMISSIONS REDUCTIONS; HEATING AND COOLING; OCCUPANT BEHAVIOR; RANKING; RESIDENTIAL SECTORS; SET-POINT TEMPERATURES; SIMULATIONS;

GAS EMISSIONS;

EID: 84957866205     PISSN: 15526100     EISSN: 19434618     Source Type: Journal    
DOI: 10.3992/jgb.10.4.127     Document Type: Article

References (46)

1. ANDERSEN, R. V., OLESEN, B. & TOFTUM, J. 2009. Occupant behaviour with regard to control of the indoor environment. Department of Civil Engineering, Technical University of Denmark.
2. ADI 2013. Australian National Greenhouse accounts, National Greenhouse accounts factors, Australian Department of Industry, Canberra, July.
3. AZAR, E. & MENASSA, C. C. 2012. A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy and Buildings, 55, 841-853.
4. BENNET, I., O BRIEN, W. & GUNAY, H. B. 2013. Effect of Window Blind Use in Residential Buildings: Observation and Simulation Study.
5. BLADH, M. & KRANTZ, H. 2008. Towards a bright future? Household use of electric light: A microlevel study. Energy Policy, 36, 3521-3530.
6. BOM, BUREAU OF METEOROLOGY. 2014. Climate Statistics for Australian Locations [Online]. Australian Government Bureau of Meteorology. Available: http://www.bom.gov.au/climate/averages/tables/cw_067105.shtml [Accessed 22/09/2014 2014].
7. CoA 2011. Australian Residential Lighting Survey - Pilot Equipment Energy Efficency. Department of Climate Change, Canberra, ACT.
8. CoA 2014. National Inventory by Economic Sector 2011, Australia’s National Greenhouse Accounts, Australian Government, Department of the Environment, Canberra, ACT, April
9. D OCA, S., FABI, V., CORGNATI, S. P. & ANDERSEN, R. K. Effect of thermostat and window opening occupant behavior models on energy use in homes. Building Simulation, 2014. Springer, 683-694.
10. DENTEL, A., DIETRICH, U. 2008. Primero Komfort software documentation: Cooling systems, functionality and dimensoning [Online]. Available: www.primero-software.com [Accessed 16/09/2014 2014].
11. DEWHA 2008. Energy Use in the Australian Residential Sector 1986 - 2020. Department of the Environment, Water, Heritage and the Arts, Canberra, ACT. DIMITROULOPOULOU, C. 2012. Ventilation in European dwellings: A review. Building and Environment, 47, 109-125.
12. DoE 2013 US Department of Energy, Energy Efficiency & Renewable Energy. EnergyPlus Energy Simulation Software [Online]. Available: http://apps1.eere.energy.gov/buildings/energyplus/energyplus_about.cfm [Accessed 25/09/2014 2014].
13. FABI, V., ANDERSEN, R. V., CORGNATI, S. & OLESEN, B. W. 2012. Occupants’ window opening behaviour: A literature review of factors influencing occupant behaviour and models. Building and Environment, 58, 188-198.
14. FRAMPTON, K., HARRIS, P., MALOUF, D., NARR, L. & PALLASMAA, J. 2006. Glenn Murcutt, architect, Rozelle, NSW: 01 Editions Pty Ltd, 2006.Collector’s ed.
15. FROMONOT, F. (2003). Glenn Murcott – buildings and projects 1962-2003. Thames and Hudson, 325 pp.
16. GALASIU, A.D., VEITCH, J.A. 2006. Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review, Energy and Buildings, Volume 38, Issue 7, 728-742
17. HAN, J., ZHANG, G., ZHANG, Q., ZHANG, J., LIU, J., TIAN, L., ZHENG, C., HAO, J., LIN, J. & LIU, Y. 2007. Field study on occupants’ thermal comfort and residential thermal environment in a hot- humid climate of China. Building and Environment, 42, 4043-4050.
18. HAN, J., YANG, W., ZHOU, J., ZHANG, G., ZHANG, Q. & MOSCHANDREAS, D. J. 2009. A comparative analysis of urban and rural residential thermal comfort under natural ventilation environment. Energy and Buildings, 41, 139-145.
19. HOWARD REED, C., WALLACE, L. A. & OTT, W. R. 2002. The effect of opening windows on air change rates in two homes. Journal of the Air & Waste Management Association, 52, 147-159.
20. HUMPHREYS, M. A. & HANCOCK, M. 2007. Do people like to feel ‘neutral’?: Exploring the Scenario of the desired thermal sensation on the ASHRAE scale. Energy and Buildings, 39, 867-874.
21. IEA-EBC ANNEX 66, ENERGY IN BUILDINGS AND COMMUNITIES PROGRAMME. 2014. Definition and Simulation of Occupant Behaviour in Buildings [Online]. Available: http://annex66.org/ [Accessed 24/09/2014 2014].
22. INDRAGANTI, M. 2010. Adaptive use of natural ventilation for thermal comfort in Indian apartments. Building and environment, 45, 1490-1507.
23. JOHNSON, T. & LONG, T. 2004. Determining the frequency of open windows in residences: a pilot study in Durham, North Carolina during varying temperature conditions. Journal of Exposure Science and Environmental Epidemiology, 15, 329-349.
24. KARJALAINEN, S. 2009. Thermal comfort and use of thermostats in Finnish homes and offices. Building and Environment, 44, 1237-1245.
25. LIDCO. 2013. LIDCO premier range product sheet [Online]. LIDCO corporation PTY LTD. Available: http://www.lidco.com.au/aluminium-doors/sliding-stacking-doors/node/10092-premier-range-duotherm-slidingstacking- door-370-system [Accessed 10/09/2014 2014].
26. MAHDAVI, A. 2011, ‘People in Building Performance Simulation’, in J.L.M Hensen & R Lamberts (eds), Building Performance Simulation for Design and Operation, Abingdon, Oxon; New York, NY: Spon Press, pp. 56-83
27. MAILAHN, W., SEIFERT, B., ULLRICH, D. & MORISKE, H.-J. 1989. The use of a passive sampler for the simultaneous determination of long-term ventilation rates and VOC concentrations. Environment International, 15, 537-544.
28. MAVROGIANNI, A., DAVIES, M., TAYLOR, J., CHALABI, Z., BIDDULPH, P., OIKONOMOU, E., DAS, P. & JONES, B. 2014. The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor overheating risk in domestic environments. Building and Environment, 78, 183-198.
29. METEOTEST. 2014. Meteonorm 7.0. Global meteorological database for engineers, planners and education [Online]. Available: www.meteonorm.com [Accessed 1/10/2014 2014].
30. MICHEL, A., BUSH, E., NIPKOW, J., BRUNNER, C. U. & HU, B. 2012. Room air conditioners: Recommendations for policy design, Best products Europe [Online]. Available: http://www.topten.eu/uploads/File/Room%20air%20conditioners%20Recommendations_M ay%202012.pdf [Accessed 13/10/2014 2014].
31. NAKAYA, T., MATSUBARA, N. & KURAZUMI, Y. Use of occupant behaviour to control the indoor climate in Japanese residences. Proceedings of conference: Air Conditioning and the Low Carbon Cooling Challenge, Windsor, UK, 2008. 27-29.
32. NATHERS. 2012. Nationwide House Energy Rating Scheme (NatHERS) - Software Accreditation Protocol [Online]. Comonwealth Department of Climate Change and Energy Efficency. Available: http://www. nathers.gov.au/accredited-software/how-nathers-software-works/climate-zones [Accessed 20/11/2014 2014].
33. NATIONAL GLASS. 2014. Performance Data and Technical Support [Online]. Brisbane, Australia: National Glass. Available: http://www.nationalglass.com.au/catalogues/NGP_Section_20.pdf [Accessed 10/09/2014 2014].
34. NICOL, J. F. 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, 2001. 1073-1078.
35. OSELAND, N. 1994. A comparison of the predicted and reported thermal sensation vote in homes during winter and summer. Energy and buildings, 21, 45-54.
36. OZETRCTURE. 2014. Simpson-Lee House [Online]. Available: http://www.ozetecture.org/2012/simpson-leehouse/ [Accessed 10/9/2014 2014]
37. PANZHAUSER, E., MAHDAVI, A. & FAIL, A. 1993. Simulation and evaluation of natural ventilation in residential buildings. ASTM SPEC TECH PUBL, ASTM, PHILADELPHIA, PA(USA), 182-196.
38. PENG, C., YAN, D., WU, R., WANG, C., ZHOU, X. & JIANG, Y. Quantitative description and simulation of human behavior in residential buildings. Building Simulation, 2012. Springer, 85-94.
39. PRICE, P. N. & SHERMAN, M. H. 2006. Ventilation behavior and household characteristics in new California houses. Lawrence Berkeley National Laboratory.
40. PENG, C., YAN, D., WU, R., WANG, C., ZHOU, X. & JIANG, Y. Quantitative description and simulation of human behavior in residential buildings. Building Simulation, 2012. Springer, 85-94.
41. PRIMERO. 2014. Primero Software [Online]. Available: http://www.primerosoftware.de/what-primero-english/[Accessed 18/11/2014 2014].
42. REN, Z., CHEN, Z. & WANG, X. 2011. Climate change adaptation pathways for Australian residential buildings. Building and Environment, 46, 2398-2412.
43. RICHARDSON, I., THOMSON, M., INFIELD, D. & DELAHUNTY, A. 2009. Domestic lighting: A highresolution energy demand model. Energy and Buildings, 41, 781-789.
44. STOKES, M., RYLATT, M. & LOMAS, K. 2004. A simple model of domestic lighting demand. Energy and Buildings, 36, 103-116.
45. WALLACE, L., EMMERICH, S., HOWARD REED, C. & CORRESPONDENCE DR, L. 2002. Continuous measurements of air change rates in an occupied house for 1 year: the effect of temperature, wind, fans, and windows. Journal of Exposure Analysis and Environmental Epidemiology, 12, 296-306.
46. ZHANG Y. and BARRETT P. 2012. Factors influencing occupants’ blind-control behaviour in a naturally ventilated office building, Building and Environment, Volume 54, 137-147