Tahmasebi, Farhang; Zach, Robert; Schuß, Matthias; Mahdavi, Ardeshir; (2012) Simulation Model Calibration: An Optimization-Based Approach. In: Proceedings of BauSim Conference 2012: 4th Conference of IBPSA-Germany and Austria. (pp. pp. 386-391). IBPSA: Berlin, Germany.

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Abstract

Research on performance simulation deployment opportunities in the building operation phase has recently gained on momentum. Specifically, simulation routines have been successfully applied in the conception and implementation of predictive methods for building systems control. Needless to say, the quality of such a predictive control system depends on the reliability of the integrated simulation models. Thus, to ensure that predictions are dependable, the incorporated simulation models must be calibrated. Moreover, given the dynamic nature of building operation and the boundary conditions, some input parameters of the model may have to be subjected to calibration more frequently. Hence, the calibration task cannot be approached as a one-time activity. Rather, it needs to be conducted on a regular and systematic basis. Given this background, this paper examines the potential of recurrent optimization-based simulation model calibration of an office area. The results displayed a noticeable but not fully consistent improvement of the predictive potency of the calibrated model.

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