CGFI (The UK Centre for Greening Finance and Investment)
Accelerating the adoption and use of climate and environmental data and analytics by financial institutions internationally
Data
DAFNI aims to improve the efficiency, reliability and sustainability of infrastructure through the better sharing and use of data. We work with our partners and collaborators to make the best use of the data they collect. Data is a key ingredient driving modern science and as data sizes and complexities increase in our everyday lives, it is important to keep data usable and safe.
Data Projects
BRINES
BRINES (Building Risk-Informed redundancy for Net-zero Energy Systems) is a collaboration project led by Dr Hannah Bloomfield from Newcastle University.
D-RES
D-RES (Provision of distributed grid resilience using EVs during extreme weather events) is a collaboration project led by Dr Desen Kirli from University of Edinburgh along with Dr Laiz Souto from University of Bristol.
FIRM
Flood resilience simulation on DAFNI
ForNet
ForNet (FORecasting Services for Energy NETworks) is a collaboration project led by Professor Konstantinos Nikolopoulos from Durham University.
IMPACT
IMPACT is a collaboration project led by Qiuchen Lu and Tao Cheng from University College London.
MARS
MARS (Modelling Aviation Resilience Scenarios) is a project led by Dr Fabian Steinmann from Cranfield University along with Dr Irene Moulitsas and Dr Desmond Bisandu from Cranfield University.
NIRD CoE
Building systemic resilience of interdependent infrastructure networks at the national scale
Pywr-WREW CoE
Pywr-WREW, a water resources model for England and Wales built in Python water resources simulation system
Other Research Areas
Dr Cristian Genes, University of Sheffield
DAFNI as a Digital Twin platform
Cristian’s focus is on demonstrating the unique, advanced technological capabilities that make DAFNI an ideal platform for collaborative development, validation and implementation of Digital Twins for large-scale complex systems.
Watch his video introduction. Access the slides here – the link will open a PDF document.
Find out more about Cristian’s work for DAFNI.
Professor Stephen Hallet and Ian Trucknell, Cranfield University
Work package 2: datasets
Co-champions Stephen and Ian will focus on the 800 datasets already on the DAFNI National Infrastructure Database and identify issues such as gaps, which are the key ontologies for infrastructure research and which are peripheral.
Watch his video introduction. Access the slides here – the link will open a PDF document.