Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
G. Pilati, G. Pernigotto, A. Gasparella, F. Tahmasebi, A. Mahdavi:
"Implications of operational, zoning-related, and climatic model input assumptions for the results of building energy simulation";
Vortrag: ECPPM 2018 - 12th European Conference on Product and Process Modelling 2018,
Copenhagen, Denmark;
12.09.2018
- 14.09.2018; in: "ECPPM 2018 - 12th European Conference on Product and Process Modelling 2018",
J. Karlshøj, R.J. Scherer et al. (Hrg.);
(2018),
6 S.
Kurzfassung deutsch:
(no german abstract)
Computational modelling of building energy performance can provide designers and operators with relevant information toward optimization of design quality and operational performance. However, the efficacy of sim-ulation-supported design strongly depends on the reliability and consistency of model input assumptions, such as those related to thermal zoning resolution and occupants´ behavior. Moreover, the actual impact of those input data and modelling choices can be different according, for example, to the climate, the type of HVAC system, and the set-points chosen for ensuring acceptable indoor thermal conditions. The present study deploys an energy model of a prototypical office floor together with a stochastic occupancy model to parametrically explore the implications of thermal zoning, climatic variations, and different control strategies for building energy use.
Kurzfassung englisch:
Computational modelling of building energy performance can provide designers and operators with relevant information toward optimization of design quality and operational performance. However, the efficacy of sim-ulation-supported design strongly depends on the reliability and consistency of model input assumptions, such as those related to thermal zoning resolution and occupants´ behavior. Moreover, the actual impact of those input data and modelling choices can be different according, for example, to the climate, the type of HVAC system, and the set-points chosen for ensuring acceptable indoor thermal conditions. The present study deploys an energy model of a prototypical office floor together with a stochastic occupancy model to parametrically explore the implications of thermal zoning, climatic variations, and different control strategies for building energy use.
Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_271514.xlsx
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.