ONGOING PROJECTS:(selected)
Flow project - atmospheric Flow, Loads and pOwer for Wind energy
The Flow project gathers a strong European consortium with the aim to further develop industrial engineering tools based on cutting edge knowledge generated through measurements and hight fidelity within the project. Our objectives are to:
Develop new engineering models parametrizing wind physics and turbulence at higher altitudes.
Predict, through models, the production and loads of modern GW-scale and 400-m tall wind energy systems with high confidence both onshore and offshore.
Validate the models with an unprecedented amount of data, reduce the errors of the predictions, and quantify the uncertainty.
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AptWind - Atmospheric Physics and Turbulence for Wind Energy
A European Industrial Doctoral Network granted under the Horizon Europe Marie Skłodowska-Curie Actions which are the EU flagship programme for doctoral training
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HiFI Wakes
This project focus on development of novel hight fidelity modeling methods using Lattice Boltzmann methods in combination with GPU technology. The approach decrease de computational resource needed for large farm simulations with one order of magnitude and above.
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Energy Transition Gotland – GoSet
This project focus on system perspectives on energy transition. Here we use the island of Gotland as an example. The project consist of three PhD project and include studies focusing on resources, planning and demand.
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Farm Blockage
This project studies the atmospheric physics resulting in wind farm blockage. Here we study how large this impact is and which parameters that affects this phenomena. This is a collaboration between Uppsala University, DTU and Modern Energy.
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Wind Energy in Swedish forested conditions
This project focus on development of LES models to be able to simulate wind turbines in complex forested terrains. Here we run high-fidelity models that include laser scans of the forest distribution in, both height and density, and the variations of the atmospheric conditions during the diurnal cycles.
My role(s) and project financing:
Wind Energy in Swedish conditions – optimization of loads and production
This project focus on development of LES models to be able to simulate wind turbines in typical Swedish conditions and how to optimize production and minimize loads.
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Systematic prediction of wind farm wakes: an emerging challenge in offshore wind sector
In this project we develop engineering tools to estimate farm wakes. The study is validated with high-fidelity modeling. The project is a collaboration between Uppsala University, Durham University and Imperial Collage Lodon. The project is currently in its second phase.
My role(s) and project financing: