Henry Korb
Doktorand vid Institutionen för geovetenskaper; Vindenergi
- Telefon:
- 018-471 84 57
- E-post:
- henry.korb@geo.uu.se
- Besöksadress:
- Campus Gotland,Cramérgatan 3
621 57 VISBY - Postadress:
- Uppsala Universitet
Campus Gotland
621 57 VISBY
Ladda ned kontaktuppgifter för Henry Korb vid Institutionen för geovetenskaper; Vindenergi
Nyckelord
- fluid dynamics
- computational fluid dynamics
- wakes
- wind farm control
Publikationer
Senaste publikationer
How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
Ingår i WAKE CONFERENCE 2023, 2023
- DOI för How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
- Ladda ner fulltext (pdf) av How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
The Lattice Boltzmann Method for Wind Farm Simulations: Validation and Application
2023
Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements
Ingår i WAKE CONFERENCE 2023, 2023
- DOI för Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements
- Ladda ner fulltext (pdf) av Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements
The characteristics of helically deflected wind turbine wakes
Ingår i Journal of Fluid Mechanics, 2023
- DOI för The characteristics of helically deflected wind turbine wakes
- Ladda ner fulltext (pdf) av The characteristics of helically deflected wind turbine wakes
WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
Ingår i Journal of Physics, Conference Series, 2022
- DOI för WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
- Ladda ner fulltext (pdf) av WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
Alla publikationer
Artiklar i tidskrift
The characteristics of helically deflected wind turbine wakes
Ingår i Journal of Fluid Mechanics, 2023
- DOI för The characteristics of helically deflected wind turbine wakes
- Ladda ner fulltext (pdf) av The characteristics of helically deflected wind turbine wakes
WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
Ingår i Journal of Physics, Conference Series, 2022
- DOI för WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
- Ladda ner fulltext (pdf) av WakeNet 0.1: A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
Exploring the application of reinforcement learning to wind farm control
Ingår i Journal of Physics, Conference Series, 2021
- DOI för Exploring the application of reinforcement learning to wind farm control
- Ladda ner fulltext (pdf) av Exploring the application of reinforcement learning to wind farm control
Konferensbidrag
How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
Ingår i WAKE CONFERENCE 2023, 2023
- DOI för How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
- Ladda ner fulltext (pdf) av How Fast is Fast Enough?: Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements
Ingår i WAKE CONFERENCE 2023, 2023
- DOI för Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements
- Ladda ner fulltext (pdf) av Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements