Online system for energy assessment in large facilities - Methodology & A real-world case study

P. Venkata Ramakrishna, Gollakota Kaushik, K. Loknath Sudhakar, Geetha Thiagarajan, Anand Sivasubramaniam

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

1 Scopus citations

Abstract

Over 40% of the energy used in most cities is spent on heating or cooling buildings. Buildings do change dynamically in terms of their configuration, usage and performance. This calls for an online system which can monitor their performance in real time. A critical component of such a system is a well calibrated model of the facility that accurately predicts the actual facility's energy behavior. This paper discusses a novel methodology that allows modeling the energy consumption of a facility just with one energy consumption meter. The methodology does not require additional sensors of any kind. The proposed method leverages statistical analytics and evolutionary search techniques to calibrate the energy model of a facility. We present the methodology and a real world case study of a facility (in UK) in this paper.

Original languageEnglish (US)
Title of host publication2013 International Green Computing Conference Proceedings, IGCC 2013
PublisherIEEE Computer Society
ISBN (Print)9781479906222
DOIs
Publication statusPublished - Jan 1 2013
Event2013 International Green Computing Conference, IGCC 2013 - Arlington, VA, United States
Duration: Jun 27 2013Jun 29 2013

Publication series

Name2013 International Green Computing Conference Proceedings, IGCC 2013

Other

Other2013 International Green Computing Conference, IGCC 2013
CountryUnited States
CityArlington, VA
Period6/27/136/29/13

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All Science Journal Classification (ASJC) codes

  • Software

Cite this

Ramakrishna, P. V., Kaushik, G., Sudhakar, K. L., Thiagarajan, G., & Sivasubramaniam, A. (2013). Online system for energy assessment in large facilities - Methodology & A real-world case study. In 2013 International Green Computing Conference Proceedings, IGCC 2013 [6604481] (2013 International Green Computing Conference Proceedings, IGCC 2013). IEEE Computer Society. https://doi.org/10.1109/IGCC.2013.6604481