Intelligent data analytics to optimise energy utilisation in industrial processing

Lead Research Organisation: University of Nottingham
Department Name: Faculty of Engineering

Abstract

This Resilient Decarbonised Fuel Energy Systems PhD project will investigate the use of sensor measurements and machine learning to predict and optimise either the energy production or energy utilisation for a range of industrial relevant case studies. The PhD project will be sponsored by the industrial partner Intelligent Plant, who focus on the analysis and visualisation of industrial data. Although the project will focus on different case studies. The aim is to determine suitable data collection and analysis strategies that can be applied to a variety of different industrial systems. The first and second case studies will focus on energy production systems and the third and fourth on the energy efficiency of industrial processes. An objective of this project is to develop appropriate data analysis and visualisation methods, which contribute to the UK's, net zero ambition

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022996/1 01/10/2019 31/03/2028
2284079 Studentship EP/S022996/1 01/10/2019 30/09/2023 Khivishta Boodhoo