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F. Tahmasebi, A. Mahdavi:
"Revisiting the implications of diversity representation in window operation models for building simulation";
Vortrag: BauSIM2018 - 7. Deutsch-Österreichische IBPSA -Konferenz Tagungsband, Karlsruhe, Germany; 26.09.2018 - 28.09.2018; in: "Proceedings of BauSim2018", A. Wagner, P. von Both et al. (Hrg.); (2018), Paper-Nr. 1129, 8 S.

(no german abstract)
To explore the potential advantages of supplying occupant behavior models with inter-occupant diversity information, this study models the occupants´ operation of windows in a monitored open-plan office at aggregate and individual levels. Subsequently, a calibrated energy model of the office area incorporates the developed models and multiple streams of monitored data
to evaluate the predictive performance of the models and their contribution to enhance the reliability of building performance assessments. According to the results, individual window operation models outperformed the aggregate model in capturing the peak and variation of window operation across occupants in the freerunning
season, which resulted in a better assessment of thermal comfort. However, the individual models yielded an overestimation of
peak heating demand, as compared with the benchmark value based on the actual window operations in a single year.

To explore the potential advantages of supplying occupant behavior models with inter-occupant diversity information, this study models the occupants´ operation of windows in a monitored open-plan office at aggregate and individual levels. Subsequently, a calibrated energy model of the office area incorporates the developed models and multiple streams of monitored data
to evaluate the predictive performance of the models and their contribution to enhance the reliability of building performance assessments. According to the results, individual window operation models outperformed the aggregate model in capturing the peak and variation of window operation across occupants in the freerunning
season, which resulted in a better assessment of thermal comfort. However, the individual models yielded an overestimation of
peak heating demand, as compared with the benchmark value based on the actual window operations in a single year.

http://dx.doi.org/10.5445/IR/1000085743

http://www.ibpsa.org/?page_id=291