BRINES (Building Risk-Informed redundancy for Net-zero Energy Systems) is a collaboration project led by Dr Hannah Bloomfield from Newcastle University. The team is made up of Professor Sean Wilkinson, Newcastle University and Dr Ji-Eun Byun, University of Glasgow. The project proposes addressing higher variability and higher correlations in weather events, power generation, and demand.
The project will explore the use of weather and climate data to highlight future resilience challenges to the UK power network from both an operational perspective (maintaining the balance of supply and demand) and from an asset management perspective (making sure assets are not damaged by extreme weather).
The project identifies two primary challenges, higher variability from increasing weather-dependence and compounded consequences owing to weather-dependency of both demand and supply.
The project will perform advanced probabilistic analyses to account for complex propagation of correlated uncertainties. To this end, the project will collect the state-of-the-art datasets on weather data, climate change scenarios, asset faults, and demands and thereby set up probabilistic models and develop inference algorithms. Secondly, leveraging the probabilistic models, BRINES will obtain optimal expansion strategies of power systems. The project will identify how much redundancy in power systems is required to satisfy a target system reliability and where new assets should be located to have de-coupled risks with existing ones. Thirdly, BRINES will enable continual and collaborative calibration of the project’s outcomes by publishing all datasets and models onto the DAFNI platform.