Digital Twins for Autonomous Operations and Maintenance of Offshore Renewable Devices based on Multi-access Edge Computing
Lead Research Organisation:
Plymouth University
Department Name: Sch of Eng, Comp and Math (SECaM)
Abstract
For a sustainable future, the world's energy source will eventually need to become renewable. This is a serious issue, which I personally have much concern for. By lowering the lifetime costs of offshore devices, I believe this will have a significant impact on the nation's financial capability, to produce more wind farms and other renewable alternatives. Considering that the Operation and maintenance makes up to a quarter of the lifetime costs, this will be an important challenge to overcome, and provides a perfect application for robotics and autonomous systems, to deliver rapid and cost-effective analysis of the structure's condition and performance.
Organisations
People |
ORCID iD |
Asiya Khan (Primary Supervisor) | |
Oscar Best (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/T518153/1 | 30/09/2020 | 29/09/2025 | |||
2594341 | Studentship | EP/T518153/1 | 30/09/2021 | 30/03/2025 | Oscar Best |