Along the years CESI has produced many impactful and very technical models, papers and other tools to study Energy Systems Integration (ESI).
In order for our research to be accessible and meaningful to all end users, the CESI team are producing a series of white papers. The purpose of these white papers are to summarise the main findings for the public, decision-makers, and the Government that set out their proposals for future legislation.
These will include research outputs from across the 6 years and from across the Nation to ensure our research can be interpreted far and wide.
Please see below for the topics that will be covered:
We are pleased to share with you the first of three CESI White Papers, titled 'Democratising Energy: Placing citizens and communities at the heart of the energy revolution' focuses on the future energy scenarios, for a specific region in the North-East of the UK where expert opinions were quantified and then analysed using mathematical model. The model outputs allow to evaluate the energy transition scenarios in the region under study from the energy trilemma point of view.
The second White Paper includes research outputs from CESI Work Package 5 and 6, examining the expanding range of opportunities that emerge when end-users join forces to form an energy community to address local energy challenges.
The third and final White Paper titled 'Techno-Economic-Environmental Evaluation Framework for the Operation of Integrated Energy Systems' builds on previous Inetgrated Energy Systems (ISE) models to evaluate their operation from the lens of energy trilemma: security of supply, flexibility, and affordability. The framework presented in this white paper ensures that:
• Inter-dependency of the networks and at the same time all the parameters affecting the operational performance of the integrated networks are considered
• Impact of different storage configurations, including the geothermal storage on the operational performance of integrated networks are evaluated
• Impact of different sources of uncertainty on the operational performance of integrated energy networks (IENs) is quantified
