TY - RPRT
T1 - Large Scale Offshore Wake Impact on the Danish Power System
AU - Larsén, Xiaoli Guo
AU - Fischereit, Jana
AU - Du, Jianting
AU - Volker, Patrick
AU - Sørensen, Poul Ejnar
AU - Das, Kaushik
AU - Koivisto, Matti Juhani
AU - Hahmann, Andrea N.
AU - Imberger, Marc
AU - Ott, Søren
AU - Murcia Leon, Juan Pablo
AU - Hawkins, Samuel
AU - Badger, Jake
PY - 2021
Y1 - 2021
N2 - This project aims at improving the operation of the Danish powersystem, through building a more accurate wind to power calculationsystem by taking into account of the large wind farm wake effect, aswell as the sea conditions. The obtained results include a comprehensivemodelling system in which key model components are cou-pled,including wind, wave, wake and power balancing. The system usesWRF for atmospheric modelling, with the wind farm wake effectcalculated using the Explicit Wake Parameterization (EWP) and WindFarm Parameterization (Fitch) schemes. The WRF model is coupled tothe wave model SWAN and ocean model ROMS, and provides input tothe power balancing model CORres. This modelling system was builtwith and tested with cases and input data from the North Sea regionand Denmark for power balancing. Though the modelling system canbe applied to any regions. In the future, we envision it to be appliedin larger regions than Denmark, e.g. for all North Europe. Part of themodelling system can and have also been used for multiple purposes.For instance, for offshore forecasting for O&M, our wind and wavecoupled modelling (WRF-SWAN) can provide simultaneous wind andwave parameters. For estimating resource and planning, WRF withEWP and Fitch schemes are being extensively used, where both real andfuture wind farm scenarios are examined. The hindcast from the variouscombinations of these model components can be used to study long terntrend and climatological impact on e.g. wave field, wind field and powersystems.
AB - This project aims at improving the operation of the Danish powersystem, through building a more accurate wind to power calculationsystem by taking into account of the large wind farm wake effect, aswell as the sea conditions. The obtained results include a comprehensivemodelling system in which key model components are cou-pled,including wind, wave, wake and power balancing. The system usesWRF for atmospheric modelling, with the wind farm wake effectcalculated using the Explicit Wake Parameterization (EWP) and WindFarm Parameterization (Fitch) schemes. The WRF model is coupled tothe wave model SWAN and ocean model ROMS, and provides input tothe power balancing model CORres. This modelling system was builtwith and tested with cases and input data from the North Sea regionand Denmark for power balancing. Though the modelling system canbe applied to any regions. In the future, we envision it to be appliedin larger regions than Denmark, e.g. for all North Europe. Part of themodelling system can and have also been used for multiple purposes.For instance, for offshore forecasting for O&M, our wind and wavecoupled modelling (WRF-SWAN) can provide simultaneous wind andwave parameters. For estimating resource and planning, WRF withEWP and Fitch schemes are being extensively used, where both real andfuture wind farm scenarios are examined. The hindcast from the variouscombinations of these model components can be used to study long terntrend and climatological impact on e.g. wave field, wind field and powersystems.
M3 - Report
T3 - DTU Wind Energy E
BT - Large Scale Offshore Wake Impact on the Danish Power System
PB - DTU Wind Energy
CY - Risø, Roskilde, Denmark
ER -