A functional principal components model for internal loads in building energy simulation

Rebecca Ward, Ruchi Choudhary, Yeonsook Heo, John Aston

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

1 Citation (Scopus)

Abstract

There is currently no established methodology for quantifying uncertainty in occupant-related building internal loads. In this paper, we propose that distinct spaces within a building may be assigned an operational signature comprising the daily base load, load range and diversity profile. A Functional Data Analysis (FDA) approach has been used to analyse monitored electricity consumption data for the derivation of such signatures. This approach enables simulation of the inherent stochasticity. It represents a step forward towards an ability to propagate uncertainty through a building energy simulation and to quantify the change in electricity consumption associated with a change in building operation.

Original languageEnglish
Title of host publication15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
EditorsCharles S. Barnaby, Michael Wetter
PublisherInternational Building Performance Simulation Association
Pages519-527
Number of pages9
ISBN (Electronic)9781510870673
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 - San Francisco, United States
Duration: 2017 Aug 72017 Aug 9

Publication series

NameBuilding Simulation Conference Proceedings
Volume1
ISSN (Print)2522-2708

Conference

Conference15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
Country/TerritoryUnited States
CitySan Francisco
Period17/8/717/8/9

ASJC Scopus subject areas

  • Building and Construction
  • Architecture
  • Modelling and Simulation
  • Computer Science Applications

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