Management of compressed air to reduce energy consumption using intelligent systems

Thabet, Mohamad, Sanders, David, Haddad, Malik, Bausch, Nils, Tewkesbury, Giles, Becarra, Victor, Barker, Tom and Piner, Jake (2021) Management of compressed air to reduce energy consumption using intelligent systems. In: Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3.

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Disciplines:	Computing, Maths, Engineering and Natural Sciences > Computer Science Computing, Maths, Engineering and Natural Sciences > Data Science & AI
Depositing User:	Malik Haddad
Date Deposited:	21 Dec 2023 11:13
Last Modified:	21 Dec 2023 11:13
URI:	https://nul.repository.guildhe.ac.uk/id/eprint/1377

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