Digital Twins for Advanced Collaborative Energy System Planning
Lead Participant:
CITY SCIENCE CORPORATION LIMITED
Abstract
Digital Twins are a vital tool for modernising, planning, and optimising energy operations. We propose a multi-faceted solution to transform interoperability, based on a foundational data model and cloud architecture, enabling secure linking of data across divisions and regions and from external data services.
Our project develops a first-of-a-kind digital twin within a DNO, creating for the first time:
* An internal data model for DNOs, taking learnings from the UKPN digital twin programme.
* An internal-external data model to enable DNO interoperability with external LAEP and transport forecasts.
* End-to-end integration of internal and external forecasts to deliver a dynamic digital twin use case within the East Midlands.
Our project develops a first-of-a-kind digital twin within a DNO, creating for the first time:
* An internal data model for DNOs, taking learnings from the UKPN digital twin programme.
* An internal-external data model to enable DNO interoperability with external LAEP and transport forecasts.
* End-to-end integration of internal and external forecasts to deliver a dynamic digital twin use case within the East Midlands.
Lead Participant | Project Cost | Grant Offer |
|---|---|---|
| CITY SCIENCE CORPORATION LIMITED | £323,882 | £ 226,717 |
Participant |
||
| SPACE CLIPPER INDUSTRIES LIMITED | £30,104 | £ 21,073 |
| NATIONAL GRID ELECTRICITY DISTRIBUTION PLC | £4,920 |
People |
ORCID iD |
| Hazim Zaidi (Project Manager) |