Welcome to the Energy Systems and Storage Lab

The Energy Systems and Energy Storage (ESES) lab is part of the Centre for Renewable Energy Systems Technology (CREST) at Loughborough University and we are an interdisciplinary group who work in several energy-related areas. These include the development of novel thermomechanical energy storage technologies like Adiabatic Compressed Air Energy Storage (ACAES), whole systems energy modelling for efficiently planning the transition to a highly decarbonised energy system in the UK and data analytics for smart energy systems. As part of the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, all of our work has a firm grounding in mechanical engineering. We are located in the Garendon Wing (MBG building) of Holywell Park (pictured above).

Our overarching aim is to improve the sustainability of global energy systems through the development of large-scale low cost energy storage technologies, the identification of cost-effective energy efficiency improvements and the specification of best-practice energy policy.

If you are interested in more about our research, then please visit our research page

Latest News

Searching for a postdoc in Thermal Energy Storage

We are looking for a postdoc to join our team in the area of Thermal Energy Storage. The succesful candidate will work as part of the GasNetNew project team, specialising in the areas of low temperature thermal energy storage for domestic space heating.

Two new EPSRC grants awarded to Dr Barbour in 2022.

I am pleased to announce that I have two new grants which have started in 2022 and are now ongoing in 2023. These are SAVECAES - Sustainable, Affordable and Viable Compressed Air Energy Storage – a £1.1 million award from the EPSRC - and GasNetNew - The role of the gas network in a future decarbonised UK, another EPSRC grant with a value of £1.3 million.

New papers on Compressed Air Energy Storage

Two new papers in iScience and Joule seek to understand why Compressed Air Energy Storage hs not yet been widely used for large scale energy storage despite being frequently mentioned as a promising option.

Exploiting mobile phone data for accurate occupancy in urban energy models

Our recent paper, published in Nature Communications, explores how mobile phones traces can generate accurate city-scale occupancy models for urban energy planning.