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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.
|Title of host publication||Intelligent Systems and Applications|
|Subtitle of host publication||Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2|
|Editors||Kohei Arai, Supriya Kapoor, Rahul Bhatia|
|Publication status||Published - Jan 2019|
|Event||IntelliSys 2018 - London, United Kingdom|
Duration: 6 Sep 2018 → 7 Sep 2018
|Name||Advances in Intelligent Systems and Computing|
|Period||6/09/18 → 7/09/18|
FingerprintDive into the research topics of 'Making decisions about saving energy in compressed air systems using Ambient Intelligence and Artificial Intelligence'. Together they form a unique fingerprint.
- 2 Finished
Management and Business Decision Making
Haddad, M. & Sanders, D.
26/09/16 → 29/04/22
Using artificial intelligence and sensor systems for energy applications
Sanders, D., Robinson, D., Gegov, A. & Mazharsolook, E.
21/06/14 → 3/04/17