Project
NOVA Digital Twin
Technical lead on a scenario-based digital twin for the UK Department for Business and Trade, scoring polygon suitability for renewables siting.
- Node.js
- React
- TypeScript
- Turf.js
- Reveal.js
- GIS
Core problem
Policy teams needed a way to interrogate renewables siting decisions against multiple, weighted criteria — without waiting on bespoke GIS analysis. Decisions were being made on static maps that could not be re-scored when inputs or policies changed.
Architecture
Architected a Multi-Criteria Evaluation engine inside a Node.js backend, with Turf.js spatial analysis powering on-the-fly polygon scoring. Built interactive React components that let users drop wind turbines and solar panels onto maps and see real-time estimated capacity. Automated reporting integrated React components inside Reveal.js presentations, removing the manual hand-off between analysts and policy authors.
Business impact
Delivered a working digital twin within the sprint window. Acted as technical liaison across data, policy, and research teams — translating policy levers into MCE weightings and ensuring the tool was usable by non-technical stakeholders inside DBT.
