Talks and Poster Presentations (with Proceedings-Entry):
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";
Talk: ECPPM 2018 - 12th European Conference on Product and Process Modelling 2018,
Copenhagen, Denmark;
2018-09-12
- 2018-09-14; in: "ECPPM 2018 - 12th European Conference on Product and Process Modelling 2018",
J. Karlshøj, R.J. Scherer et al. (ed.);
(2018),
6 pages.
English 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.
German abstract:
(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.
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_271514.xlsx
Created from the Publication Database of the Vienna University of Technology.