Abstract
Available building simulation tools resort to using fixed schedules for modeling occupant behavior (OB), which does not accurately capture its nature. A significant aspect of OB is the movement and sequence of actions with regards to their surroundings. This requires some coherence about the surface layout, including the placement of furniture and the occupant’s interaction with it. There is a need for understanding vital information about the different attributes of the furniture, such as the placement and order of importance. Until now, there exists no such library with this kind of granularity in information. This paper explores the questions with regard to the development of such a library. This includes the description of the type of variables associated with different kinds of furniture, along with the occupant interaction under typical scenarios. The results from this study can be used to integrate the resulting library with building simulation tools and to better understand and develop occupant behavior models.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
IEA: World Energy Statistics, International Energy Agency, pp. 32–51 (2017)
U.S. Energy Information Administration (EIA)—Total Energy Annual Data (2018)
Azar, E., Menassa, C.C.: A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy Build. 55, 841–853 (2012)
Menezes, A.C., Cripps, A., Bouchlaghem, D., Buswell, R.: Predicted vs. actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap. Appl. Energy 97, 355–364 (2012)
Turner, C., Frankel, M.: Energy performance of LEED for new construction buildings. New Build. Inst. 4, 1–42 (2008)
Yan, D., Hong, T., Dong, B., Mahdavi, A., D’Oca, S., Gaetani, I., Feng, X.: IEA EBC Annex 66: definition and simulation of occupant behavior in buildings. Energy Build. 156, 258–270 (2017)
Clevenger, C.M., Haymaker, J.R., Jalili, M.: Demonstrating the impact of the occupant on building performance. J. Comput. Civ. Eng. 28(1), 99–102 (2013)
Hong, T.: Occupant behavior: impact on energy use of private offices. In: ASim 2012-1st Asia conference of International Building Performance Simulation Association, Shanghai, China, 25 Nov 2012–27 Nov 12 (2014)
Yan, D., O’Brien, W., Hong, T., Feng, X., Gunay, H.B., Tahmasebi, F., Mahdavi, A.: Occupant behavior modeling for building performance simulation: current state and future challenges. Energy Build. 107, 264–278 (2015)
Hoes, P., Hensen, J.L.M., Loomans, M.G.L.C., De Vries, B., Bourgeois, D.: User behavior in whole building simulation. Energy Build. 41(3), 295–302 (2009)
Zhao, J., Lasternas, B., Lam, K.P., Yun, R., Loftness, V.: Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining. Energy Build. 82, 341–355 (2014)
Bourgeois, D., Reinhart, C., Macdonald, I.: Adding advanced behavioural models in whole building energy simulation: a study on the total energy impact of manual and automated lighting control. Energy Build. 38(7), 814–823 (2006)
Aerts, D., Minnen, J., Glorieux, I., Wouters, I., Descamps, F.: A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison. Build. Environ. 75, 67–78 (2014)
Lee, Y.S., Malkawi, A.M.: Simulating multiple occupant behaviors in buildings: an agent-based modeling approach. Energy Build. 69, 407–416 (2014)
Dziedzic, J., Yan, D., Novakovic, V.: Occupant migration monitoring in residential buildings with the use of a depth registration camera. Procedia Eng. 205, 1193–1200 (2017)
Wang, C., Yan, D., Jiang, Y.: A novel approach for building occupancy simulation. In: Building Simulation, pp. 149–167 (2011)
Martani, C., Lee, D., Robinson, P., Britter, R., Ratti, C.: ENERNET: studying the dynamic relationship between building occupancy and energy consumption. Energy Build. 47, 584–591 (2012)
Dziedzic, J.W., Da, Y., Novakovic, V.: Indoor occupant behaviour monitoring with the use of a depth registration camera. Build. Environ. 148, 44–54 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Annaqeeb, M.K., Dziedzic, J.W., Yan, D., Novakovic, V. (2020). Development of a Library for Building Surface Layout Simulator. In: Wang, Z., Zhu, Y., Wang, F., Wang, P., Shen, C., Liu, J. (eds) Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019). ISHVAC 2019. Environmental Science and Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-13-9528-4_115
Download citation
DOI: https://doi.org/10.1007/978-981-13-9528-4_115
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9527-7
Online ISBN: 978-981-13-9528-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)