We are on the brink of a new, Third Age of energy efficiency, a revolution in the way we think about the relationship between energy supply and demand. A revolution which will see the creation of a new, resilient and flexible energy system. One where energy supply and energy demand interact in real time to assure a clean, secure and affordable supply of heat and power to our homes, businesses and industry.
The Centre for Doctoral Training in Energy Resilience and the Built Environment will train the future innovators and leaders capable of driving this energy transformation. Students are trained through a programme of taught courses and PhD research hosted by the leading energy research groups in the UK and Ireland.
Training future energy leaders
The training is led by world-leaders in their field and spans the technical, social and economic aspects of energy in the built environment, including: new and renewable energy systems; energy storage; smart controls; data analytics; socio-technical systems; people-centred design; human behaviour and energy economics.
Impactful industry collaborations
Our work is supported by our Partners from the energy and construction industries, consultancies, central government, charities and professional institutions. They co-fund our research, support our students’ work and provide a route to impact and future employment.
Whether you’re a potential stakeholder partner, academic, or student in a similar field, this website gives you an insight into ERBE, our projects, our people and how you can become involved in our programme.
For more information, please get in touch using the details on the Partner With Us page.
Featured news
- How models can inform policy for the energy transition: ERBE student-led conference 2024A team of ERBE students put on an excellent student-led conference in April 2024, hosted by Loughborough University. The theme, how models can inform policy, both showcased the span of modelling approaches used by ERBE students and challenged us in how we use, critique and communicate the results of our models. George Dawes and Marlena …