Mitigating office performance uncertainty of occupant use of window blinds and lighting using robust design

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• 作者：William O’Brien ; H. Burak Gunay
• 关键词：occupant behaviour modelling ; robust design ; daylighting ; solar shading ; probabilistic performance predictions
• 刊名：Building Simulation
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：8
• 期：6
• 页码：621-636
• 全文大小：2,658 KB
• 参考文献：Abrahamse W, Steg L, Vlek C, Rothengatter T (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25: 273-91.CrossRef
  Athienitis AK, Liu C, Hawes D, Banu D, Feldman D (1997). Investigation of the thermal performance of a passive solar test-room with wall latent heat storage. Building and Environment, 32: 405-10.CrossRef
  Baker N, Standeven M (1996). Thermal comfort for free-running buildings. Energy and Buildings, 23: 175-82.CrossRef
  Bock RD (1985). Multivariate Statistical Methods in Behavioral Research. Chicago: Scientific Software International.
  Bordass B, Bromley K, Leaman A (1993). User and occupant controls in office buildings. In: Proceedings of International Conference on Building Design, Technology and Occupant Well-being in Temperate Climates, Brussels, Belgium.
  Bordass B, Cohen R, Standeven M, Leaman A (2001). Assessing building performance in use 2: Technical performance of the Probe buildings. Building Research & Information, 29: 103-13.CrossRef
  Boyce P, Hunter C, Howell O (2003). The benefits of daylight through windows. Troy, NY, USA: Rensselaer Polytechnic Institute.
  Brager G, Paliaga G, de Dear R (2004). Operable windows, personal control and occupant comfort. ASHRAE Transactions, 110(2): 17-5.
  Cohen R, Ruyssevelt P, Standeven M, Bordass W, Leaman A (1999). Building intelligence in use: Lessons from the Probe project. In: Proceedings of Intelligent Buildings: Realising the Benefits, Watford, UK.
  Cole RJ, Brown Z (2009). Reconciling human and automated intelligence in the provision of occupant comfort. Intelligent Buildings International, 1: 39-5.CrossRef
  David M, Donn M, Garde F, Lenoir A (2011). Assessment of the thermal and visual efficiency of solar shades. Building and Environment, 46: 1489-496.CrossRef
  de Wit S, Augenbroe G (2002). Analysis of uncertainty in building design evaluations and its implications. Energy and Buildings, 34: 951-58.CrossRef
  Djunaedy E, Van den Wymelenberg K, Acker B, Thimmana H (2011). Oversizing of HVAC system: Signatures and penalties. Energy and Buildings, 43: 468-75.CrossRef
  Dubois M-C, Blomsterberg ? (2011). Energy saving potential and strategies for electric lighting in future North European, low energy office buildings: A literature review. Energy and Buildings, 43: 2572-582.CrossRef
  Edwards L, Torcellini PA (2002). A literature review of the effects of natural light on building occupants. National Renewable Energy Laboratory Golden.
  Fabi V, Buso T, Andersen RK, Corgnati SP, Olesen BW (2013). Robustness of building design with respect to energy related occupant behaviour. In: Proceedings of 13th IBPSA International Conference, Chambéry, France, pp. 1999-006.
  Galasiu AD, Veitch JA (2006). Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review. Energy and Buildings, 38: 728-42.CrossRef
  Gelder LV, Janssen H, Roels S (2014). Probabilistic design and analysis of building performances: methodology and application example. Energy and Buildings, 79: 202-11.CrossRef
  Gram-Hanssen K (2010). Residential heat comfort practices: Understanding users. Building Research & Information, 38: 175-86.CrossRef
  Guerra Santin O, Itard L, Visscher H (2009). The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock. Energy and Buildings, 41: 1223-232.CrossRef
  Guglielmetti R, Pless S, Torcellini P (2010). On the use of integrated daylighting and energy simulations to drive the design of a large net-zero energy office building. In: Proceedings of IBPSA-USA Conference, New York, USA.
  Guillemin A, Morel N (2001). An innovative lighting controller integrated in a self-adaptive building control system. Energy and Buildings, 33: 477-87.CrossRef
  Gunay HB, O’Brien W, Beausoleil-Morrison I, Huchuk B (2014). On adaptive occupant-learning window blind and lighting controls. Building Research & Information, 42: 739-59.CrossRef
  Gunay HB, O’Brien W, Beausoleil-Morrison I (2013). A Critical review of state-of-the-art energy and comfort related occupant behavior in office buildings. Building and environment, 70: 31-7.CrossRef
  Guo X, Tiller D, GP Henze, CE Waters (2010). The performance of occupancy-based lighting control systems: A review. Lighting Research and Technology, 42: 415-31.CrossRef
  Haigh D (1981). User response to environmental control. In: Hawkes D, Bath JO (Eds), The Architecture of Energy. London: The Pitman Press, pp. 45-3.
  Haldi F (2013). A probabilistic model to predict building occupants-diversity towards their interactions with the building envelope. In: Proceedings of 13th IBPSA International Conference, Chambéry, France.
  Haldi F, Robinson D (2010). Adaptive actions on shading devices in response to local visual stimuli. Journal of Building Performance Simulation, 3
• 作者单位：William O’Brien (1)
  H. Burak Gunay (1)
  
  1. Department of Civil and Environmental Engineering, Carleton University, 3432 Mackenzie Building, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
  
• 刊物类别：Engineering
• 刊物主题：Building Construction, HVAC and Refrigeration
  Engineering Thermodynamics and Transport Phenomena
  Atmospheric Protection, Air Quality Control and Air Pollution
  Environmental Computing and Modeling
  Chinese Library of Science
  
• 出版者：Tsinghua University Press, co-published with Springer-Verlag GmbH
• ISSN：1996-8744

文摘

Occupant behaviour represents one of the greatest sources of uncertainty in building energy use. Energy use uncertainty is an undesirable trait with regards to sizing equipment and estimating energy use and cost. This paper presents one approach to help address this uncertainty: use of passive building measures to minimize the occurrence of discomfort so that occupants do not have to adapt as frequently in potentially energy-intensive ways. A robust design method is proposed whereby occupant behaviour models are embedded in building performance simulation to test different building designs for their probabilistic energy use and adaptive actions. To demonstrate the method, the daylighting and solar shading domain is explored. The results indicate one possible approach to reducing the impact of occupant behaviour in buildings. However, the study also shows the need for more occupant monitoring and modelling research as well as more empirical evidence to validate robust design strategies. Keywords occupant behaviour modelling robust design daylighting solar shading probabilistic performance predictions