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Towards digital twin technology: Wind farm operation analysis and optimization using model-supported data analytics
Schröder, Laura
(PhD Student)
Chatzi, Eleni
(Examiner)
Watson, Simon
(Examiner)
Rethore, Pierre-Elouan Mikael
(Examiner)
Dimitrov, Nikolay
(Main Supervisor)
Sørensen, John Aasted
(Supervisor)
Verelst, David Robert
(Supervisor)
Wind Energy Materials and Components Division
Structural Integrity and Loads Assessment
Department of Wind and Energy Systems
AI, Mathematics and Software
Department of Engineering Technology and Didactics
Wind Turbine Design Division
Response, Aeroelasticity, Control and Hydrodynamics
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2017
→
15/04/2021
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Model
Earth and Planetary Sciences
100%
Datum
Earth and Planetary Sciences
100%
Optimization
Earth and Planetary Sciences
100%
Models
Engineering
100%
Analytics
Engineering
100%
Turbine
Earth and Planetary Sciences
20%
Behavior
Physics
15%
Simulation
Earth and Planetary Sciences
12%
Research output
Publications per year
2020
2020
2020
1
Ph.D. thesis
Publications per year
Publications per year
Towards digital twins: wind farm operation analysis and optimization using model-supported data analytics
Schröder, L.
,
2020
, Risø, Roskilde, Denmark:
DTU Wind Energy
.
123 p.
(DTU Wind Energy PhD; No. 0106(EN)).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Model
100%
Datum
100%
Optimization
100%
Analytics
100%
Models
100%
729
Downloads (Pure)