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Zeitschriftenartikel:

F. Tahmasebi, A. Mahdavi:
"The sensitivity of building performance simulation results to the choice of occupants´ presence models: a case study";
Journal of Building Performance Simulation, 10 (2017), 5-6; S. 625 - 635.



Kurzfassung deutsch:
(no german version)The considerable performance implications of occupants´ presence and behaviour in buildings render the inclusion of corresponding
models in simulation applications both necessary and critical. In this context, an important question concerns
the implications of different occupancy modelling approaches for simulation results. The present contribution addresses this
issue by modelling an office building to obtain heating and cooling demands and peak loads. To represent occupants´ presence
patterns in the model, standard-based and observed diversity profiles, stochastic realizations of these profiles, and the
full-year observational occupancy data are deployed. Subsequently, a sequence of simulation runs - involving Monte-Carlo
simulations of models with stochastic profiles - provides the distributions of results. The study suggests that the viability
of simulation results regarding building-level annual heating and cooling demands and peak heating and cooling loads is
primarily dependent on the availability of reliable estimations of actual occupancy, rather than stochastic or non-stochastic
representation of presence patterns.

Kurzfassung englisch:
The considerable performance implications of occupants´ presence and behaviour in buildings render the inclusion of corresponding
models in simulation applications both necessary and critical. In this context, an important question concerns
the implications of different occupancy modelling approaches for simulation results. The present contribution addresses this
issue by modelling an office building to obtain heating and cooling demands and peak loads. To represent occupants´ presence
patterns in the model, standard-based and observed diversity profiles, stochastic realizations of these profiles, and the
full-year observational occupancy data are deployed. Subsequently, a sequence of simulation runs - involving Monte-Carlo
simulations of models with stochastic profiles - provides the distributions of results. The study suggests that the viability
of simulation results regarding building-level annual heating and cooling demands and peak heating and cooling loads is
primarily dependent on the availability of reliable estimations of actual occupancy, rather than stochastic or non-stochastic
representation of presence patterns.

Schlagworte:
occupant presence models; building performance simulation results; annual heating and cooling demands; peak heating and cooling loads


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1080/19401493.2015.1117528

Elektronische Version der Publikation:
http://www.tandfonline.com/doi/full/10.1080/19401493.2015.1117528


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.