Projects

This novel project aims to address challenges with adopting digital twins of energy systems. The project will facilitate energy system planning by providing harmonized and combined datasets across Distribution Network Operators (DNO).

This project is funded by Innovate UK, lead by City Science and supported by Space Clipper Industries and National Grid Energy Distribution (NGED)

Space Clipper, supported by Exotopic, secured STFC funding to assess the feasibility of a novel software tool to help target and unlock public and private investment within the In-orbit Servicing, Assembly and Manufacturing (ISAM) economy. The project collected requirements and needs across government departments, government agencies, regulators, investors and aligned companies to help shape the design of the software tool and approach. 

Space Clipper Industries and University College London led this highly innovative, EOCIS funded, project to reduce barriers to using remote sensing methods within the Monitoring, Reporting and Verification process within the Woodland Carbon Code (WCC). Working closely with the WCC, the project team (which included the National Physical Laboratory and the University of Southampton) developed a high level framework for evaluating remote sensing methods for carbon sequestration estimation which could be adopted by the WCC. The team trialed and evaluated Terrestrial Laser Scanning and Satellite based methods within this process.

This innovate UK funded project developed an AI enabled software service to help assess  and mitigate telecommunication risk for remotely monitored and operated maritime assets such as Unmanned Service Vessels (USV) and drones as well as autonomous port operations.

This project developed a software tool to aid investors and project developers select woodland creation sites and designs. It utilizes a novel human in the loop system to guide users through the pros and cons of different woodland design options for use cases across both carbon sequestration and biodiversity net gain. The project was lead by Space Clipper Industries, in partnership with the University of Exeter, as part of innovate UKs feasibility studies for artificial intelligence solutions innovation call.