Gabriel Miguel Gomes Guerreiro

The wind industry is facing more customized needs on the turbine design and manufacturing, due to various onshore/offshore conditions and grid code requirements.

The ESR will build digital signatures of wind turbine subsystems including auxiliary systems based on the current DD Flex model, type test data and field measurements, combining whitebox, blackbox, and greybox types of models, incorporating Bayesian statistical models. The developed Digital Twin system will be used to enrich the testing and grid compliance methodologies for both wind turbine and wind power plant. Another objective is to develop methodologies based on the operational data for evaluating the performance of wind power plants according to grid codes and validate wind power plant simulation models through data mining and event extraction. The work should reduce the cost and time in product development cycle by highly innovative and transferable tests. The work is in close cooperation with the potential clients from the consortium (EQN, Ørsted and EDF) to ensure high customer confidence and acceptance of the new workflow.

  • Host organisation: Siemens Gamesa Renewable Energy, Denmark
  • PhD-enrolment: Technical University of Denmark
  • Duration: 36 months
  • Expected start date: ~Nov 2021
  • Secondment: DTU (10 months)

Research Directors:

  • Mr. Frank Martin
  • Dr. Stöckl Johannes
  • Dr. Guangya Yang