This talk will describe the Climate
Resilience Demonstrator project, which ran under the National Digital
Twin programme in 2021-2, and since then has been hosted by Connected
Places Catapult and supported by the energy and water industries. As
well as describing the specific project and use case, this will also be
used as a basis for describing a wide range of issues in practical
decision support modelling, including interoperability of data and
models between organisations; uncertainty management in complex systems;
modelling with limited conventional data; and deployment at enterprise
scale within organisations.
Chris
Dent is Professor of Industrial Mathematics at the University of
Edinburgh, and a Fellow at the Alan Turing Institute. He has broad
interests across energy and infrastructure analysis, climate resilience,
and decision support in public policy. He currently works on a number
of industrial innovation projects, and holds a KE Catalyst grant from
the International Centre for Mathematical Sciences to support the Global
Power System Transformation consortium with their research agenda in
system planning, control rooms, and AI. In 2021-2 he was Technical Lead
for the National Digital Twin programme Climate Resilience
Demonstrator. As well as working in a School of Mathematics, he is also a
Chartered Engineer.