Gilles Plessis
EnerBaT – EDF R&D, Moret sur Loing, France
Édouard Amouroux
LIP6 – Universitå de Paris 6, Paris, France
Yvon Haradji
EnerBaT – EDF R&D, Moret sur Loing, France
Download articlehttp://dx.doi.org/10.3384/ecp14096321Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:33, p. 321-326
Published: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (print), 1650-3740 (online)
This paper illustrates the use of Functional Mock-up Interface (FMI) to couple an occupant behaviour simulator and a building model.
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.
Building simulation; behavioural modelling; Specific use of electricity; thermal comfort; Modelica; FMI; co-simulation
[1] MODELISAR – ITEA2, Functional Mockup Interface for Co-Simulation, October 2010.
[2] 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.
[3] 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.
[4] Amouroux, E., Huraux, T., Sempe, F., Sabouret, N., Haradji, Y., Simulating human activities to investigate household energy consumption. Proceedings of the ICAART 2013.
[5] Haradji, Y., Poizat, G., Sempe, F., Human activity and social simulation. Advances in applied human modeling and simulation, p 416-425, 2012
[6] Fanger, P.O., Thermal comfort: Analysis and applications in environmental engineering. Danish Technical Press, 1970.
[7] 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.
[8] REMODECE consortium, REMODECE deliverables. Can be found at http://remodece.isr.uc.pt/
[9] Plessis, G., Kaemmerlen, Lindsay, A., BuildSysPro: a Modelica library for modelling buildings and energy systems. Proceedings of the International Modelica Conference 2014.
[10] 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.
[11] 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.
[12] Ptolemy consortium, Ptolemy project at http://ptolemy.eecs.berkeley.edu/java/jfmi/
[13] 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.
[14] IEA Annex 60 consortium. Project webpage
on http://www.iea-annex60.org/