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Projects: Projects for Investigator
Reference Number ENA_10061340
Title CReDo+ Climate Resilience Demonstrator (extension to new climate risks)
Status Completed
Energy Categories Other Cross-Cutting Technologies or Research(Energy Models) 10%;
Other Cross-Cutting Technologies or Research(Energy system analysis) 10%;
Other Power and Storage Technologies(Electricity transmission and distribution) 70%;
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 10%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 10%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 30%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 60%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
UK Power Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 April 2023
End Date 01 July 2023
Duration 3 months
Total Grant Value £143,586
Industrial Sectors Power
Region London
Investigators Principal Investigator Project Contact , UK Power Networks (100.000%)
  Industrial Collaborator Project Contact , UK Power Networks (0.000%)
Web Site https://smarter.energynetworks.org/projects/10061340
Abstract "The original CReDo project produced failure models from elicitation interviews with operatives familiar with the asset and then translating these into a mathematical model. Whilst this generated useful failure models the process was found not to be scalable due to the time and specialist expertise needed to conduct them.To address this the project will develop a user-friendly tool (e.g. configurable questionnaire or interface) which asset specialists will interact with to generate probabilistic models of asset failure from climate risks, enhancing the digital twins capabilities and scope for application. This tool will enable asset engineers to better quantify and understand climate risks and networks robustness, enabling more targeted investment to build resilience and robustness and protect supply for customers.During the Discovery Phase, we will investigate the suitability of different extreme weather conditions (wind or heat) for this work and then focus on the selected condition in the Alpha Phase.The project addresses Innovation Challenge 3: Improving Energy System Resilience and Robustness, scope 2.The network innovation lies in the transformative capabilities for DNOs to understand the risks and modalities of asset failure, which currently exists only as tacit knowledge held by asset specialists. Providing quantitative failure risks enables resilience and robustness to be incorporated as a key measure in network operation and planning. DNOs will therefore be able to make more informed decisions for capital investments and asset planning, strengthening their infrastructure to ensure smooth adoption of multi-energy systems and a robust energy transition towards net zero.This consortium is uniquely well placed to deliver this project:1.The partners involved delivered the original CReDo, which included the first creation of Bayesian failure models from elicitation interview.2.UK Research and Innovation - Science & Technology Facilities Council (STFC) through its Hartree Centre and DAFNI platform, will provide the project with crucial data science and software engineering expertise, and secure hosting.3.UK Power Networks (UKPN) will support the project from a Distribution Network Operator perspective, supplying relevant data and engineering expertise.4.Computational Modelling Cambridge Ltd (CMCL) will use their experience developing semantic knowledge graphs to represent the critical assets, the impact of asset failure and the cascade of failures throughout the system5. Connected Places Catapult (CPC) lead the current phase development of CReDo and bring deep experience in identifying market failures and convening stakeholders to solve them."
Publications (none)
Final Report (none)
Added to Database 01/11/23