Comparative Analysis of White-, Gray- and Black-box Models for Thermal Simulation of Indoor Environment: Teaching Building Case Study

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

416 Downloads (Pure)

Abstract

This study presents a performance comparison between selected white-, gray- and black-box models for indoor temperature prediction in a university building located at the SDU Campus Odense. It was found that the black-box models outperform the gray- and white-box models in most cases, but the accuracy highly depends on the training data in terms of both period and modes of heat transfer covered by the data set. The average mean absolute error for the best performing black-box model was 0.4 C as compared to 1.0 C and 0.7 C for the gray-box and white-box models, respectively. In terms of accuracy, the gray-box models are a reasonable alternative for black-box only in case of short-term predictions, in which their error decreases to around 0.3-0.8 C, depending on the room.

Original languageEnglish
Title of host publicationProceedings of the 2018 Building Performance Modeling Conference and SimBuild co-organized by ASHRAE and IBPSA-USA
PublisherASHRAE
Publication dateSep 2018
Pages173-180
Publication statusPublished - Sep 2018
EventBuilding Performance Analysis Conference and SimBuild: Co-organized by ASHRAE and IBPSA-USA - Chicago, United States
Duration: 26. Sep 201828. Sep 2018

Conference

ConferenceBuilding Performance Analysis Conference and SimBuild
Country/TerritoryUnited States
CityChicago
Period26/09/201828/09/2018

Keywords

  • Building simulation
  • White-box
  • Gray-box
  • Black-box
  • comparative analysis

Fingerprint

Dive into the research topics of 'Comparative Analysis of White-, Gray- and Black-box Models for Thermal Simulation of Indoor Environment: Teaching Building Case Study'. Together they form a unique fingerprint.

Cite this