Intelligent data analytics to optimise energy utilisation in industrial processing

这个弹性脱碳燃料能源系统博士项目将研究传感器测量和机器学习的使用，以预测和优化一系列与工业相关的案例研究的能源生产或能源利用。该博士项目将由工业合作伙伴智能工厂赞助，该公司专注于工业数据的分析和可视化。尽管该项目将侧重于不同的案例研究。其目的是确定可应用于各种不同工业系统的适当数据收集和分析策略。第一个和第二个案例研究将侧重于能源生产系统，第三个和第四个案例研究将侧重于工业过程的能效。该项目的一个目标是开发适当的数据分析和可视化方法，为英国的净零抱负做出贡献

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