Human-centered Approach for Proper Functioning of LEED Criteria; A Case Study in Tehran
Buildings are rated in five main categories according to the LEED standard to receive an environment-friendly design certificate. Sustainability, water efficiency, material properties, energy consumption, and the quality of indoor spaces are main criteria which confirm the proper function of a building in terms of optimal energy consumption. However, the role of residents and behavioral aspects in the consumption of energy and the decent application of energy standards are neglected. It is beyond doubt that the residents’ behavior is one of the most important factors in performance-based building design. Moreover, the individual mistakes, which most of the times cause energy dissipation, cannot be ignored. This research proposes "Integrated Interactive System" as a human-centered approach with the aim of minimizing energy consumption. A survey is conducted, and this system is evaluated as a case study in Tehran.
Athens, Lucia (2009). “Design for social sustainability at Seattle’s central library”, Green buildings, V. 2:1.
Calì D, Osterhage T, Streblow R, Müller D (2016). Energy performance gap in refurbished German dwellings: lesson learned from a field test. Energy Build; 127:1146–58.
Carmalt, Hannah and Wener, Richard (2006). “Environmental psychology and sustainability in high-rise structures”, Technology in Society, V. 28, pp. 157-167.
Chen S, Yang W, Yoshino H, Levine MD, Newhouse K, Hinge A (2015). Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies. Energy Build;104:1–13.
D’Oca s, Hong t, Langevin J (2018). The human dimensions of energy use in buildings: A review. Renewable and Sustainable Energy Reviews 81; 731–74.
Duffy, Frank (2008). Work and the city, Black dog publishing.
Fabi V, Andersen RV, Corgnati SP, Olesen BW (2013). A methodology for modelling energy-related human behaviour: application to window opening behaviour in residential buildings. Build Simul ;6:415–27.
Gou, Z.; Xie, X (2017). Evolving green building: Triple bottom line or regenerative design? J. Clean. Prod., 153, 600–607.
Haji Esmaili, Yasaman (2011). Consideration Of Human Behavior In Designing A. Green Office Space For Environmentalists. A Simulation Study. A Master's Report Submitted to the Faculty of the Department of Architecture, Graduate College of The University of Arizona.
Harvard (2018), Green is the new Crimson, Green Building Service, Harvard University.
HUB ZC (2015). Post-occupancy Evaluation, Rowner Research Project Phase Two. Zero Carbon HUB.
Janda KB (2011). Buildings don't use energy: people do. Archit Sci Rev;54:15–22.
Jiang Y, Chen Y, Younos T, Huang H, He J. Urban water resources quota management: the core strategy for water demand management in China. Ambio. 2010;39(7):467-75.
Lin HW, Hong T (2013). On variations of space-heating energy use in office buildings. Appl Energy;111:515–28.
M.Gill, Zachary and Tierney, Michael J. (2010). “Low-energy dwellings: the contribution of behaviors to actual performance”, Building Research and In¬formation, V. 38(5), pp. 491 - 508.
Masoso, O. T., and Grobler, L. J. (2010). The Dark Side of Occupants’ Behaviour on Building Energy Use. Energy and Buildings, 42(2), 173–177.
N’Famory Camara, Deyi Xu, Emmanuel Binyet (2018). Enhancing household energy consumption: How should it be done? Renewable and Sustainable Energy Reviews 81; 669–681.
Newsham, G.R.; Mancini, S.; Birt, B.J (2009). Do LEED-certified buildings save energy? Yes, but . . . . Energy Build. 41, 897–905.
Page J, Robinson D, Scartezzini J-L (2007). Stochastic simulation of occupant presence and behaviour in buildings. in: (LESO-PB) SEaBPL, editor. CH-1015 Lausanne, Switzerland Ecole Polytechnique Fédérale de Lausanne (EPFL).
Prins, Gwyn (1992). “On Condis and Coolth”, Energy and Buildings, V. 18, pp. 251 - 258.
Scofield, J.H (2013). Efficacy of LEED-certification in reducing energy consumption and greenhouse gas emission for large New York City office buildings. Energy Build. 67, 517-524.
Sun K, Yan D, Hong T, Guo S (2014). Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration. Build Environ; 79:1–12.
Webber, C., Roberson, J., Mcwhinney, M., Brown, R., Pinckard, M., and Busch, J (2006). After-hours power status of office equipment in the USA. Energy, 31 (14), 2823-2838.
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