A taxonomy for building energy dashboards

Varun Kumaraswamy, Semiha Ergan, Burcu Akinci

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

Abstract

Dashboards are increasingly being used in commercial buildings to show building data in an intuitive way to occupants and facility operators. Such dashboards make relevant parties aware of the impact that they have on a building's behavior and enable them to (1) understand the dynamics of building systems and current/historical energy use and, as a result, (2) support reduction in energy use and improvement of operations of such systems. This paper gives an overview of an approach for designing and implementing an e nergy dashboard for a monitored building that includes highly sensed building automation systems and sensors for energy consumption. This project is part of the Energy Efficient Buildings Hub in the Philadelphia Navy Yard. The developed approach incorporates formalization of a taxonomy for building energy dashboards, identification of visualization aids and requirements through a questionnaire, and a prototype implementation. The findings show that effective building energy dashboards should contain query-based and quick-access- based functionalities for showing building energy data through the use of various widgets and user interactions. Such dashboards should also enable decomposing data within spatial and temporal dimensions, interacting with static and dynamic data sources, and providing information about directly measurable energy usage vs. resulting energy use indicators.

Original languageEnglish (US)
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
PublisherAmerican Society of Civil Engineers (ASCE)
Pages2192-2199
Number of pages8
ISBN (Print)9780784413616
DOIs
StatePublished - 2014
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: Jun 23 2014Jun 25 2014

Other

Other2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period6/23/146/25/14

Fingerprint

Taxonomies
Energy utilization
Automation
Visualization
Sensors

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

Cite this

Kumaraswamy, V., Ergan, S., & Akinci, B. (2014). A taxonomy for building energy dashboards. In Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering (pp. 2192-2199). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413616.272

A taxonomy for building energy dashboards. / Kumaraswamy, Varun; Ergan, Semiha; Akinci, Burcu.

Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering. American Society of Civil Engineers (ASCE), 2014. p. 2192-2199.

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

Kumaraswamy, V, Ergan, S & Akinci, B 2014, A taxonomy for building energy dashboards. in Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering. American Society of Civil Engineers (ASCE), pp. 2192-2199, 2014 International Conference on Computing in Civil and Building Engineering, Orlando, United States, 6/23/14. https://doi.org/10.1061/9780784413616.272
Kumaraswamy V, Ergan S, Akinci B. A taxonomy for building energy dashboards. In Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering. American Society of Civil Engineers (ASCE). 2014. p. 2192-2199 https://doi.org/10.1061/9780784413616.272
Kumaraswamy, Varun ; Ergan, Semiha ; Akinci, Burcu. / A taxonomy for building energy dashboards. Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering. American Society of Civil Engineers (ASCE), 2014. pp. 2192-2199
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