Management of compressed air to reduce energy consumption using intelligent systems

Mohamad Thabet, David Sanders, Malik Haddad, Nils Bausch, Giles Tewkesbury, Victor Becerra, Tom Barker, Jake Piner

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

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This research investigated the use of intelligent systems for reducing energy consumption in compressed air systems. An initial literature review has been completed and mathematical models that describe typical compressed air components (compressor, tank, piping network, etc.) were created. The investigations suggested that energy used or wasted in connection with compressed air was a valuable research area to attempt to save energy. The research progressed to investigating ways of minimising energy use for air compressors based on real-time conditions (including anticipated future requirements), using intelligent systems to monitor and make decisions.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
Subtitle of host publicationVolume 3
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
ISBN (Electronic)978-3-030-55190-2
ISBN (Print)978-3-030-55189-6
Publication statusPublished - 25 Aug 2020
EventIntelligent Systems Conference - London, United Kingdom
Duration: 3 Sept 20204 Sept 2020

Publication series

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


ConferenceIntelligent Systems Conference
Abbreviated titleIntelliSys 2020
Country/TerritoryUnited Kingdom


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