Due to their intrinsic nature; occupant behaviour and building and its energy systems are usually represented by different modelling paradigms. The occupant behaviour is here described by agent-based modelling (ABM) whereas the building is described by a set of hybrid differential algebraic equations; typical of dynamic thermal modelling. Such different complex systems cannot be efficiently simulated in a single tool. Therefore; one solution is the tool coupling approach.
The FMI standard for co-simulation; was used to couple the SMACH occupant behaviour simulator and a building energy model built with the BuildSysPro Modelica library. Variables of interest are passed from one model to another at fixed synchronization time steps.
Keywords: Building simulation; behavioural modelling; Specific use of electricity; thermal comfort; Modelica; FMI; co-simulation
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
 MODELISAR – ITEA2, Functional Mockup Interface for Co-Simulation, October 2010.
 Kashif, A., Ploix, S., Dugdale, J., Le, X.H.B., Simulating the dynamics of occupant behaviour for power management in residential buildings. Energy and Buildings Vol. 56 (2013) p85-93.
 Bourgeois, D., Reinhart, C., Macdonal, I., Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control. Energy and Buildings Vol. 38.
 Amouroux, E., Huraux, T., Sempe, F., Sabouret, N., Haradji, Y., Simulating human activities to investigate household energy consumption. Proceedings of the ICAART 2013.
 Haradji, Y., Poizat, G., Sempe, F., Human activity and social simulation. Advances in applied human modeling and simulation, p 416-425, 2012
 Fanger, P.O., Thermal comfort: Analysis and applications in environmental engineering. Danish Technical Press, 1970.
 Parsons, K. C., The effects of gender, acclimation state, the opportunity to adjust clothing and physical disability on requirements for thermal comfort. Energy & Buildings, vol. 34, no. 6, pp. 593–599, 2002.
 REMODECE consortium, REMODECE deliverables. Can be found at http://remodece.isr.uc.pt/
 Plessis, G., Kaemmerlen, Lindsay, A., BuildSysPro: a Modelica library for modelling buildings and energy systems. Proceedings of the International Modelica Conference 2014.
 Pazold, M., Burhenne, S., Radon, J., Herkel, S., Antretter, F., Integration of Modelica models into an existing simulation software using FMI for Co-Simulation. Proceedings of the International Modelica Conference 2012.
 Viel A., Strong coupling of Modelica system-level models with detailed CFD models for transient simulation of hydraulic components in their surrounding environment. Proceedings of the International Modelica Conference 2011.
 Ptolemy consortium, Ptolemy project at http://ptolemy.eecs.berkeley.edu/java/jfmi/
 Hindmarsh, A. C., Brown P. N., Grant, K. E., Lee S. L., Serban, R., Shumaker, D. E., Woodward, C. S., SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software, Vol. 31(3), p. 363-396, 2005.
 IEA Annex 60 consortium. Project webpage on http://www.iea-annex60.org/