Development of a modelling framework for refined residential occupancy schedules

Diba Malekpour Koupaei, Farzad Hashemi, Vinciane Tabard-Fortecoef, Ulrike Passe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Occupancy schedules are a leading source of uncertainty in building energy simulations. This uncertainty often results in an undesired gap between actual performance and predictions. Past efforts to develop more proper occupancy behavioural models have often been either oversimplified and hence underestimating or more precise but simply too complicated to become common practice. This study is an effort to find a balance between complexity and accuracy among the aforementioned models for the sole purpose of energy use studies in the context of residential neighbourhoods. We start with a probabilistic occupancy model based on the American Time Use Survey (ATUS) and use input from the population of study to develop representative occupancy schedules.

Original languageEnglish (US)
Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
PublisherInternational Building Performance Simulation Association
Pages3377-3384
Number of pages8
ISBN (Electronic)9781713809418
StatePublished - 2019
Externally publishedYes
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: Sep 2 2019Sep 4 2019

Publication series

NameBuilding Simulation Conference Proceedings
Volume5
ISSN (Print)2522-2708

Conference

Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/TerritoryItaly
CityRome
Period9/2/199/4/19

Bibliographical note

Funding Information:
This work was funded by the 2016 Iowa State University Presidential Interdisciplinary Research Initiative (PIRI) on Data-Driven Science.

Publisher Copyright:
© 2019 Building Simulation Conference Proceedings. All rights reserved.

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