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Impact of Occupants' Behaviour on Zero-Energy Buildings pp 19–29Cite as

Triggers for Users’ Behaviours

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Abstract

People behaviours have an undeniable influence both on building performance and on indoor environmental quality. To predict their actions and obtain accurate predictions, it is of primary importance the understanding of their decision-making process. This chapter offers an overview of the main factors that stimulate users’ behaviours. It firstly proposes an analysis regarding objective aspects (i.e., environmental variables, time-related events and contextual factors), aiming at underlying the triggers for each adaptive action. Then, it focuses on subjective aspects (i.e., physiological, psychological and social factors), in particular, highlighting how people’s attitudes change in the nZEB contexts.

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References

  1. Peng C, Yan D, Wu R, et al (2012) Quantitative description and simulation of human behavior in residential buildings. Build Simul 5:85–94. https://doi.org/10.1007/s12273-011-0049-0

  2. Inkarojrit V (2005) Balancing comfort: occupants’ control of window blinds in private offices. University of California, Berkeley

    Google Scholar 

  3. Fabi V, Andersen RV, Corgnati S, Olesen BW (2012) Occupants’ window opening behaviour: a literature review of factors influencing occupant behaviour and models. Build Environ 58:188–198. https://doi.org/10.1016/j.buildenv.2012.07.009

  4. Stazi F, Naspi F, D’Orazio M (2017) A literature review on driving factors and contextual events influencing occupants’ behaviours in buildings. Build Environ 118:40–66. https://doi.org/10.1016/j.buildenv.2017.03.021

  5. D’Oca S, Hong T (2014) A data-mining approach to discover patterns of window opening and closing behavior in offices. Build Environ 82:726–739. https://doi.org/10.1016/j.buildenv.2014.10.021

  6. Schweiker M, Haldi F, Shukuya M, Robinson D (2012) Verification of stochastic models of window opening behaviour for residential buildings. J Build Perform Simul 5:55–74. https://doi.org/10.1080/19401493.2011.567422

  7. Habara H, Yasue R, Shimoda Y (2013) Survey on the occupant behavior relating to window and air conditioner operation in the residential buildings. In: 13th conference of the international building performance simulation association, pp 2007–2013

    Google Scholar 

  8. Lin B, Wang Z, Liu Y, et al (2016) Investigation of winter indoor thermal environment and heating demand of urban residential buildings in China’s hot summer—cold winter climate region. Build Environ 101:9–18. https://doi.org/10.1016/j.buildenv.2016.02.022

  9. Raja IA, Nicol JF, McCartney KJ, Humphreys MA (2001) Thermal comfort: use of controls in naturally ventilated buildings. Energy Build 33:235–244. https://doi.org/10.1016/S0378-7788(00)00087-6

  10. Rijal HB, Tuohy PG, Nicol JF et al (2008) Development of adaptive algorithms for the operation of windows, fans and doors to predict thermal comfort and energy use in Pakistani buildings. ASHRAE Trans 114:555–573

    Google Scholar 

  11. Sutter Y, Dumortier D, Fontoynont M (2006) The use of shading systems in VDU task offices: a pilot study. Energy Build 38:780–789. https://doi.org/10.1016/j.enbuild.2006.03.010

  12. Haldi F, Robinson D (2008) On the behaviour and adaptation of office occupants. Build Environ 43:2163–2177. https://doi.org/10.1016/j.buildenv.2008.01.003

  13. Li N, Li J, Fan R, Jia H (2015) Probability of occupant operation of windows during transition seasons in office buildings. Renew Energy 73:84–91. https://doi.org/10.1016/j.renene.2014.05.065

  14. Jeong B, Jeong J-W, Park JS (2016) Occupant behavior regarding the manual control of windows in residential buildings. Energy Build 127:206–216. https://doi.org/10.1016/j.enbuild.2016.05.097

  15. Nicol JF, Humphreys MA (2004) A stochastic approach to thermal comfort—occupant behavior and energy use in buildings. ASHRAE Trans 110:Part II: 68–554

    Google Scholar 

  16. Fabi V, Andersen RV, Corgnati SP (2012) Window opening behaviour : simulations of occupant behaviour in residential buildings using models based on a field survey. In: 7th Windsor conference: the changing context of comfort an unpredictable world, pp 12–15

    Google Scholar 

  17. Schweiker M, Shukuya M (2009) Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions. Build Environ 44:2137–2149. https://doi.org/10.1016/j.buildenv.2009.03.004

  18. Vine E, Lee E, Clear R, et al (1998) Office worker response to an automated Venetian blind and electric lighting system: a pilot study. Energy Build 28:205–218. https://doi.org/10.1016/S0378-7788(98)00023-1

  19. Nicol F, Wilson M, Chiancarella C (2006) Using field measurements of desktop illuminance in European offices to investigate its dependence on outdoor conditions and its effect on occupant satisfaction, and the use of lights and blinds. Energy Build 38:802–813. https://doi.org/10.1016/j.enbuild.2006.03.014

  20. Correia da Silva P, Leal V, Andersen M (2013) Occupants interaction with electric lighting and shading systems in real single-occupied offices: results from a monitoring campaign. Build Environ 64:152–168. https://doi.org/10.1016/j.buildenv.2013.03.015

  21. Yao J (2014) Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis. Appl Energy 127:64–80. https://doi.org/10.1016/j.apenergy.2014.04.046

  22. Maniccia D, Rutledge B, Rea M, Morow W (1999) Occupant use of manual lighting controls in private offices. Iesna 489–512. https://doi.org/10.1080/00994480.1999.10748274

  23. Hunt DRG (1979) The use of artificial lighting in relation to daylight levels and occupancy. Build Environ 14:21–33. https://doi.org/10.1016/0360-1323(79)90025-8

  24. Reinhart CF, Voss K (2003) Monitoring manual control of electric lighting and blinds. Light Res Technol 35:243–258. https://doi.org/10.1191/1365782803li064oa

  25. Haldi F, Robinson D (2009) A comprehensive stochastic model of blind usage: theory and validation. Build. Simul. Conf. Glasgow, Scotland, pp 545–552

    Google Scholar 

  26. Gunay HB, O’Brien W, Beausoleil-Morrison I, Gilani S (2016) Development and implementation of an adaptive lighting and blinds control algorithm. Build Environ 113: http://doi.org/10.1016/j.buildenv.2016.08.027

  27. Salthammer T, Uhde E, Schripp T, et al (2016) Children’s well-being at schools: impact of climatic conditions and air pollution. Environ Int 94:196–210. https://doi.org/10.1016/j.envint.2016.05.009

  28. Andersen R, Fabi V, Toftum J, et al (2013) Window opening behaviour modelled from measurements in Danish dwellings. Build Environ 69:101–113. https://doi.org/10.1016/j.buildenv.2013.07.005

  29. Calì D, Andersen RK, Müller D, Olesen B (2016) Analysis of occupants’ behavior related to the use of windows in German households. Build Environ 103:54–69. https://doi.org/10.1016/j.buildenv.2016.03.024

  30. Stazi F, Naspi F, Ulpiani G, Perna C Di (2017) Indoor air quality and thermal comfort optimization in classrooms developing an automatic system for windows opening and closing. Energy Build 139:732–746. https://doi.org/10.1016/j.enbuild.2017.01.017

  31. Santamouris M, Synnefa A, Asssimakopoulos M et al (2008) Experimental investigation of the air flow and indoor carbon dioxide concentration in classrooms with intermittent natural ventilation. Energy Build 40:1833–1843. https://doi.org/10.1016/j.enbuild.2008.04.002

  32. Dias Pereira L, Raimondo D, Corgnati SP, Gameiro da Silva M (2014) Assessment of indoor air quality and thermal comfort in Portuguese secondary classrooms: Methodology and results. Build Environ 81:69–80. https://doi.org/10.1016/j.buildenv.2014.06.008

  33. Daisey JM, Angell WJ, Apte MG (2003) Indoor air quality, ventilation and health symptoms in schools: an analysis of existing information. Indoor Air 13:53–64. https://doi.org/10.1034/j.1600-0668.2003.00153.x

  34. Johnson T, Long T (2005) Determining the frequency of open windows in residences: a pilot study in Durham, North Carolina during varying temperature conditions. J Expo Anal Environ Epidemiol 15:329–349. https://doi.org/10.1038/sj.jea.7500409

  35. Zhang Y, Barrett P (2012) Factors influencing the occupants’ window opening behaviour in a naturally ventilated office building. Build Environ 50:125–134. https://doi.org/10.1016/j.buildenv.2011.10.018

  36. Bae C, Chun C (2009) Research on seasonal indoor thermal environment and residents’ control behavior of cooling and heating systems in Korea. Build Environ 44:2300–2307. https://doi.org/10.1016/j.buildenv.2009.04.003

  37. Andersen R, Olesen B, Toftum J (2011) Modelling occupants’ heating set-point prefferences. In: 12th Conference of the international building performance simulation association, Sydney, 14–16 November, pp 151–156

    Google Scholar 

  38. Herkel S, Knapp U, Pfafferott J (2008) Towards a model of user behaviour regarding the manual control of windows in office buildings. Build Environ 43:588–600. https://doi.org/10.1016/j.buildenv.2006.06.031

  39. Boyce PR, Veitch JA, Newsham GR et al (2006) Occupant use of switching and dimming controls in offices. Light Res Technol 38:358–376. https://doi.org/10.1177/1477153506070994

  40. Yun GY, Steemers K (2008) Time-dependent occupant behaviour models of window control in summer. Build Environ 43:1471–1482. https://doi.org/10.1016/j.buildenv.2007.08.001

  41. De Giuli V, Da Pos O, De Carli M (2012) Indoor environmental quality and pupil perception in Italian primary schools. Build Environ 56:335–345. https://doi.org/10.1016/j.buildenv.2012.03.024

  42. Fritsch R, Kohler a., Nygård-Ferguson M, Scartezzini J-L (1990) A stochastic model of user behaviour regarding ventilation. Build Environ 25:173–181. https://doi.org/10.1016/0360-1323(90)90030-U

  43. Ren X, Yan D, Wang C (2014) Air-conditioning usage conditional probability model for residential buildings. Build Environ 81:172–182. http://doi.org/10.1016/j.buildenv.2014.06.022

  44. Kempton W, Feuermann D, McGarity AE (1992) “I always turn it on super”: user decisions about when and how to operate room air conditioners. Energy Build 18:177–191. https://doi.org/10.1016/0378-7788(92)90012-6

  45. Von Grabe J (2016) The systematic identification and organization of the context of energy-relevant human interaction with buildings—a pilot study in Germany. Energy Res Soc Sci 12:75–95. https://doi.org/10.1016/j.erss.2015.12.001

  46. Jones RV, Fuertes A, Gregori E, Giretti A (2017) Stochastic behavioural models of occupants’ main bedroom window operation for UK residential buildings. Build Environ 118:144–158. https://doi.org/10.1016/j.buildenv.2017.03.033

  47. O’Brien W, Gunay HB (2014) The contextual factors contributing to occupants’ adaptive comfort behaviors in offices—a review and proposed modeling framework. Build Environ 77:77–88. https://doi.org/10.1016/j.buildenv.2014.03.024

  48. Hong T, Yan D, D’Oca S, Chen C (2016) Ten questions concerning occupant behavior in buildings: the big picture. Build Environ 114:518–530. https://doi.org/10.1016/j.buildenv.2016.12.006

  49. Kenney WL, Munce TA (2003) Physiology of aging invited review: aging and human temperature regulation. J Appl Physiol 95:2598–2603

    Article  Google Scholar 

  50. Indraganti M, Rao KD (2010) Effect of age, gender, economic group and tenure on thermal comfort: A field study in residential buildings in hot and dry climate with seasonal variations. Energy Build 42:273–281. https://doi.org/10.1016/j.enbuild.2009.09.003

  51. Mishra AK, Ramgopal M (2013) Field studies on human thermal comfort—an overview. Build Environ 64:94–106. https://doi.org/10.1016/j.buildenv.2013.02.015

  52. Teli D, Jentsch MF, James PAB (2012) Naturally ventilated classrooms: an assessment of existing comfort models for predicting the thermal sensation and preference of primary school children. Energy Build 53:166–182. https://doi.org/10.1016/j.enbuild.2012.06.022

  53. Dear R De, Kim J, Candido C, Deuble M (2014) Summertime thermal comfort in Australian School Classrooms. In: 8th Windsor Conference, p 21

    Google Scholar 

  54. Karjalainen S (2007) Gender differences in thermal comfort and use of thermostats in everyday thermal environments. Build Environ 42:1594–1603. https://doi.org/10.1016/j.buildenv.2006.01.009

  55. Brager G, Dear R de (1998) Thermal adaptation in the built environment: a literature review. Energy Build. 17:83–96

    Google Scholar 

  56. Sovacool BK (2009) Rejecting renewables: the socio-technical impediments to renewable electricity in the United States. Energy Policy 37:4500–4513. https://doi.org/10.1016/j.enpol.2009.05.073

  57. Gou Z, Prasad D, Siu-Yu Lau S (2013) Are green buildings more satisfactory and comfortable? Habitat Int 39:156–161. https://doi.org/10.1016/j.habitatint.2012.12.007

  58. Holmgren M, Kabanshi A, Sörqvist P (2017) Occupant perception of “green” buildings: distinguishing physical and psychological factors. Build Environ 114:140–147. https://doi.org/10.1016/j.buildenv.2016.12.017

  59. Altomonte S, Schiavon S (2013) Occupant satisfaction in LEED and non-LEED certified buildings. Build Environ 68:66–76. https://doi.org/10.1016/j.buildenv.2013.06.008

  60. Steinemann A, Wargocki P, Rismanchi B (2017) Ten questions concerning green buildings and indoor air quality. Build Environ 112:351–358. https://doi.org/10.1016/j.buildenv.2016.11.010

  61. Azizi NSM, Wilkinson S, Fassman E (2015) An analysis of occupants response to thermal discomfort in green and conventional buildings in New Zealand. Energy Build 104:191–198. https://doi.org/10.1016/j.enbuild.2015.07.012

  62. Nicol JF, Humphreys MA (2002) Adaptive thermal comfort and sustainable thermal standards for buildings. Energy Build 34:563–572. https://doi.org/10.1016/S0378-7788(02)00006-3

  63. Humphreys MA (2005) Quantifying occupant comfort: are combined indices of the indoor environment practicable? Build Res Inf 33:317–325. https://doi.org/10.1080/09613210500161950

  64. Deuble MP, de Dear RJ (2012) Green occupants for green buildings: the missing link? Build Environ 56:21–27. https://doi.org/10.1016/j.buildenv.2012.02.029

  65. Day JK, Gunderson DE (2015) Understanding high performance buildings: the link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction. Build Environ 84:114–124. https://doi.org/10.1016/j.buildenv.2014.11.003

  66. Steg L, Vlek C (2009) Encouraging pro-environmental behaviour: an integrative review and research agenda. J Environ Psychol 29:309–317. https://doi.org/10.1016/j.jenvp.2008.10.004

  67. John MP, Kozo M, Mario G, Blake A (2008) The Jevons Paradox and the myth of resource efficiency improvements. London

    Google Scholar 

  68. Calì D, Osterhage T, Streblow R, Müller D (2016) Energy performance gap in refurbished German dwellings: lesson learned from a field test. Energy Build 127:1146–1158. https://doi.org/10.1016/j.enbuild.2016.05.020

  69. Santangelo A, Tondelli S (2017) Occupant behaviour and building renovation of the social housing stock: current and future challenges. Energy Build 145:276–283. http://doi.org/10.1016/j.enbuild.2017.04.019

  70. Pisello AL, Asdrubali F (2014) Human-based energy retrofits in residential buildings: a cost-effective alternative to traditional physical strategies. Appl Energy 133:224–235. https://doi.org/10.1016/j.apenergy.2014.07.049

  71. Fabi V, Barthelmes VM, Corgnati SP (2016) Impact of an engagement campaign on user behaviour change in office environment. In: Indoor Air 2016—14th International conference on indoor air quality and climate. Ghent, Belgium, pp 1–8

    Google Scholar 

  72. Moloney S, Horne RE, Fien J (2010) Transitioning to low carbon communities-from behaviour change to systemic change: lessons from Australia. Energy Policy 38:7614–7623. https://doi.org/10.1016/j.enpol.2009.06.058

  73. von Grabe J (2016a) Decision models and data in human-building interactions. Energy Res Soc Sci 19:61–65. https://doi.org/10.1016/j.erss.2016.05.022

  74. von Grabe J (2016b) How do occupants decide their interactions with the building? From qualitative data to a psychological framework of human-building-interaction. Energy Res Soc Sci 14:46–60. https://doi.org/10.1016/j.erss.2016.01.002

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Authors and Affiliations

  1. Department of Materials, Environmental Sciences and Urban Planning (SIMAU), Università Politecnica delle Marche, Ancona, Italy

    Francesca Stazi

  2. Department of Construction, Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, Ancona, Italy

    Federica Naspi

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  1. Francesca Stazi
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Correspondence to Francesca Stazi .

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Stazi, F., Naspi, F. (2018). Triggers for Users’ Behaviours. In: Impact of Occupants' Behaviour on Zero-Energy Buildings. SpringerBriefs in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-71867-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-71867-5_4

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