Digital Twins for Autonomous Operations and Maintenance of Offshore Renewable Devices based on Multi-access Edge Computing
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Digital Twins for Autonomous Operations and Maintenance of Offshore Renewable Devices based on Multi-access Edge Computing
CoPED ID
8cee0c5a-d947-4529-a215-21816ac41224
Status
Active
Value
No funds listed.
Start Date
Sept. 30, 2021
End Date
March 30, 2025
Description
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.
| University of Plymouth | LEAD_ORG |
| Asiya Khan | SUPER_PER |
| Oscar Best | STUDENT_PER |
Subjects by relevance
- Renewable energy sources
- Future
- Costs
Extracted key phrases
- Offshore Renewable Devices
- Digital Twins
- Autonomous Operations
- Access Edge Computing
- Lifetime cost
- Maintenance
- Renewable alternative
- Sustainable future
- Multi
- Energy source
- Effective analysis
- Autonomous system
- Perfect application
- Offshore device