Modelling of asset (wind turbine) performance and health using optimized federated and transfer learning frameworks for lower carbon footprint

Find Similar History 33 Claim Ownership Request Data Change Add Favourite

Title
Modelling of asset (wind turbine) performance and health using optimized federated and transfer learning frameworks for lower carbon footprint

CoPED ID
dfbf7181-3f74-46aa-9bfa-84d57988e50b

Status
Active

Funders

Value
No funds listed.

Start Date
March 31, 2021

End Date
April 29, 2026

Description

More Like This


This research project fits into a global context of sustainable development and protection of the environment and particularly into the UK energy policy for energy control and intelligent energy management. The UK low carbon (0 Carbon) plan has diversified primary energy sources exploited by hybrid energy systems, which needs a management and intelligent control methods. According to the Government Renewable Energy Strategy , The UK is aiming to reduce its carbon dioxide by over 750 million tonnes between now and 2030. To achieve such ambitious objectives, UK aims to increase renewables in the energy mix with 30% of the electricity, 12% of the heat and 10% of the transport energy generated from renewables. UK will invest in various renewable energy sources, but the focus is on wind energy and particularly offshore wind energy. The capacity is predicted to increase from 40GW now to 66GW in 2030 and up to 126GB by 2050 to meet the UK's 2050 Net 0 target.

QingPing Yang SUPER_PER
Ameni Lounissi STUDENT_PER

Subjects by relevance
  1. Renewable energy sources
  2. Energy policy
  3. Sustainable development
  4. Wind energy
  5. Carbon dioxide
  6. Energy control
  7. Emissions
  8. Sources of energy
  9. Environmental effects
  10. Energy
  11. Energy production (process industry)

Extracted key phrases
  1. UK energy policy
  2. Offshore wind energy
  3. Renewable energy source
  4. Intelligent energy management
  5. Primary energy source
  6. UK low carbon
  7. Energy control
  8. Hybrid energy system
  9. Transport energy
  10. Energy mix
  11. Low carbon footprint
  12. Wind turbine
  13. Modelling
  14. Intelligent control method
  15. Carbon dioxide

Related Pages

UKRI project entry

UK Project Locations