Using historical data processing method to optimize energy hub

Dongmin Yu, Francis Robinson, Wenhua Zha, Simon Le Blond

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

2 Citations (Scopus)

Abstract

After the Energy Hub concept was proposed by Martin Geidl, it became a very popular topic for research into optimising the control and utilisation of energy resources. There are many widely-used methods to optimize Energy Hub operation; however many have limitations when the system is dynamic or the system behaviour is nonlinear. This paper provides a novel method to address those limitations. The method is based on an historical data processing technique to predict the Energy Hub load. By using this method, energy cost can be reduced by at least 12.3% per day.
Original languageEnglish
Title of host publication50th International Universities' Power Engineering Conference (UPEC), 2015
PublisherIEEE
ISBN (Print)9781467396820
DOIs
Publication statusPublished - 1 Sep 2015
Event50th International Universities Power Engineering Conference (UPEC2015) - UK, Stoke on Trent, UK United Kingdom
Duration: 1 Sep 20154 Sep 2015

Conference

Conference50th International Universities Power Engineering Conference (UPEC2015)
CountryUK United Kingdom
CityStoke on Trent
Period1/09/154/09/15

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    Yu, D., Robinson, F., Zha, W., & Le Blond, S. (2015). Using historical data processing method to optimize energy hub. In 50th International Universities' Power Engineering Conference (UPEC), 2015 [30] IEEE. https://doi.org/10.1109/UPEC.2015.7339781