Skip to content

Making decisions about saving energy in compressed air systems using Ambient Intelligence and Artificial Intelligence

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

Compressed air systems are often the most expensive and inefficient industrial systems. For every 10 units of energy, less than 1 unit turns into useful compressed air. Air compressors tend to be kept fully on even if they are not (all) needed. The research proposed in this short paper will combinereal time ambient sensing with Artificial Intelligence andKnowledge Management to automatically improve efficiency in energy intensive manufacturing. The research will minimise energy use for air compressors based on real-time manufacturing conditions (and anticipated future requirements). Ambient datawill provide detailed information on performance. Artificial Intelligence will make sense of that data and automatically act. Knowledge Management will facilitate the processing of information to advise human operators on actions to reduce energy use and maintain productivity. The aim is to create new intelligent techniques to save energy in compressed air systems.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
Subtitle of host publicationProceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Pages1229-1236
ISBN (Electronic)978-3-030-01057-7
ISBN (Print)978-3-030-01056-0
DOIs
Publication statusPublished - Jan 2019
EventIntelliSys 2018 - London, United Kingdom
Duration: 6 Sep 20187 Sep 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume869
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceIntelliSys 2018
CountryUnited Kingdom
CityLondon
Period6/09/187/09/18

Documents

Relations Get citation (various referencing formats)

ID: 8746618