High fidelity energy monitoring through IoT


< Project overview >

Smart energy systems will play a key part in supporting the UK to meet its carbon emissions target by 2050. To enable this, easily accessible monitoring data is required in order to make operational decisions.

However, current monitoring systems are diverse and fragmented with no tried and tested methods to achieve the integrated, automated frameworks required.

This project aims to clearly identify, demonstrate and document these approaches in order to overcome key difficulties. The information captured assessed the potential economic benefits and established if there was a viable business case for improved energy monitoring.

With approximately 200 buildings, the project utilised the University of Sheffield campus as a test bed for this work, investigating and moderating its current energy monitoring systems. The campus provided a good example of a large estate with high-energy consumption but diverse and complex systems.

A report of the challenges, technical details, recommended findings and economic benefits was shared. By furthering relationships with local councils, opportunities to transfer results to their citywide estates were then explored.

Project lead

Professor Martin Mayfield – University of Sheffield

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