Mahdavi, A;
Tahmasebi, F;
(2017)
Accounting for the diversity of use patterns in representations of office plug loads in building performance simulation.
In:
(Proceedings) Building Simulation Applications (BSA) 2017.
(pp. pp. 345-350).
Bozen-Bolzano University Press: Bolzano, Italy.
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Abstract
This paper explores the relationship between inhabitants' presence, the installed power for office equipment, and the resulting electrical energy use. This exploration is based on long-term observational data obtained from a continuously monitored office area in Vienna, Austria. The findings facilitate the formulation of both simplified and probabilistic models to estimate annual and peak office plug loads. Aside from a general comparison of the performance of simple and stochastic models, the present contribution focuses on the question if and to which extent consideration of the diversity of the inhabitants influences the reliability of plug load predictions.
| Type: | Proceedings paper |
|---|---|
| Title: | Accounting for the diversity of use patterns in representations of office plug loads in building performance simulation |
| Event: | Building Simulation Applications (BSA) 2017 |
| ISBN-13: | 9788860461360 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://bupress.unibz.it/it/building-simulation-ap... |
| Language: | English |
| Additional information: | Building Simulation Applications BSA 2017 ed. by Pernigotto, Giovanni; Gasparella, Andrea; Corrado, Vincenzo; Prada, Alessandro; Patuzzi, Francesco -excluding the cover and the quotations- is licensed under Creative Commons Attribution-ShareAlike 4.0 International License. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10055487 |
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