Proceedings of ICT for Sustainability 2016

IODiCUS - Smart Balancing of Local Energy Demand

Authors
Daniel Schien, Paul Shabajee, John Brenton, Chris Jones, Chris Preist
Corresponding Author
Daniel Schien
Available Online August 2016.
DOI
https://doi.org/10.2991/ict4s-16.2016.32How to use a DOI?
Keywords
Building Energy, BMS; IoT; sustainability
Abstract
For electric utility companies variability of demand for electricity results in disproportionately high cost for services consumed only for a small duration of the day.High peak demand means: More power plants and network infrastructure must be available to supply these peaks. 'Dispatchable' energy sources used to meet peaks are often less efficient gas plants and, increasingly, diesel generation with a higher carbon intensity than alternatives. Use (and storage) of local renewable and low carbon energy. Utility companies try to encourage reduced use by customers at peak times using premium prices (DUOS and TRIADS).Energy managers in customer organisations can respond by smoothing demand on external electricity supply through: Short time energy buffering/storing (boosting). Rationing of services at peak times. Use (and storage) of local renewable electricity.The IODICUS project is developing an intelligent,autonomous control of a customer campus electricity systemwith the potential to: Reduce peak power demand Reduce overall electricity consumption Make optimal use of local renewable generation
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
ICT for Sustainability 2016
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-224-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/ict4s-16.2016.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Daniel Schien
AU  - Paul Shabajee
AU  - John Brenton
AU  - Chris Jones
AU  - Chris Preist
PY  - 2016/08
DA  - 2016/08
TI  - IODiCUS - Smart Balancing of Local Energy Demand
BT  - ICT for Sustainability 2016
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ict4s-16.2016.32
DO  - https://doi.org/10.2991/ict4s-16.2016.32
ID  - Schien2016/08
ER  -