Articles | Volume 7, issue 5
Wind Energ. Sci., 7, 1869–1888, 2022
https://doi.org/10.5194/wes-7-1869-2022
Wind Energ. Sci., 7, 1869–1888, 2022
https://doi.org/10.5194/wes-7-1869-2022
Research article
13 Sep 2022
Research article | 13 Sep 2022

Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW)

Adithya Vemuri et al.

Related authors

Wind turbine drivetrains: state-of-the-art technologies and future development trends
Amir R. Nejad, Jonathan Keller, Yi Guo, Shawn Sheng, Henk Polinder, Simon Watson, Jianning Dong, Zian Qin, Amir Ebrahimi, Ralf Schelenz, Francisco Gutiérrez Guzmán, Daniel Cornel, Reza Golafshan, Georg Jacobs, Bart Blockmans, Jelle Bosmans, Bert Pluymers, James Carroll, Sofia Koukoura, Edward Hart, Alasdair McDonald, Anand Natarajan, Jone Torsvik, Farid K. Moghadam, Pieter-Jan Daems, Timothy Verstraeten, Cédric Peeters, and Jan Helsen
Wind Energ. Sci., 7, 387–411, https://doi.org/10.5194/wes-7-387-2022,https://doi.org/10.5194/wes-7-387-2022, 2022
Short summary
Effect of different source terms in atmospheric boundary modelling over the complex terrain site of Perdigao
Kartik Venkatraman, Trond-Ola Hågbo, Sophia Buckingham, and Knut Erik Teigen Giljarhus
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2021-142,https://doi.org/10.5194/wes-2021-142, 2022
Revised manuscript under review for WES
Short summary
A new roughness length parameterization accounting for wind–wave (mis)alignment
Sara Porchetta, Orkun Temel, Domingo Muñoz-Esparza, Joachim Reuder, Jaak Monbaliu, Jeroen van Beeck, and Nicole van Lipzig
Atmos. Chem. Phys., 19, 6681–6700, https://doi.org/10.5194/acp-19-6681-2019,https://doi.org/10.5194/acp-19-6681-2019, 2019
Short summary
Towards practical dynamic induction control of wind farms: analysis of optimally controlled wind-farm boundary layers and sinusoidal induction control of first-row turbines
Wim Munters and Johan Meyers
Wind Energ. Sci., 3, 409–425, https://doi.org/10.5194/wes-3-409-2018,https://doi.org/10.5194/wes-3-409-2018, 2018
Short summary
Full HAWT rotor CFD simulations using different RANS turbulence models compared with actuator disk and experimental measurements
Nikolaos Stergiannis, Jeroen van Beeck, and Mark C. Runacres
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-6,https://doi.org/10.5194/wes-2017-6, 2017
Revised manuscript not accepted
Short summary

Related subject area

Thematic area: Wind and the atmosphere | Topic: Atmospheric physics
Research challenges and needs for the deployment of wind energy in hilly and mountainous regions
Andrew Clifton, Sarah Barber, Alexander Stökl, Helmut Frank, and Timo Karlsson
Wind Energ. Sci., 7, 2231–2254, https://doi.org/10.5194/wes-7-2231-2022,https://doi.org/10.5194/wes-7-2231-2022, 2022
Short summary
Observer-based power forecast of individual and aggregated offshore wind turbines
Frauke Theuer, Andreas Rott, Jörge Schneemann, Lueder von Bremen, and Martin Kühn
Wind Energ. Sci., 7, 2099–2116, https://doi.org/10.5194/wes-7-2099-2022,https://doi.org/10.5194/wes-7-2099-2022, 2022
Short summary
Lifetime prediction of turbine blades using global precipitation products from satellites
Merete Badger, Haichen Zuo, Ásta Hannesdóttir, Abdalmenem Owda, and Charlotte Hasager
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2022-59,https://doi.org/10.5194/wes-2022-59, 2022
Revised manuscript under review for WES
Short summary
Predicting power ramps from joint distributions of future wind speeds
Thomas Muschinski, Moritz N. Lang, Georg J. Mayr, Jakob W. Messner, Achim Zeileis, and Thorsten Simon
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2022-48,https://doi.org/10.5194/wes-2022-48, 2022
Revised manuscript accepted for WES
Short summary
Scientific Challenges to Characterizing the Wind Resource in the Marine Atmospheric Boundary Layer
William Shaw, Larry Berg, Mithu Debnath, Georgios Deskos, Caroline Draxl, Virendra Ghate, Charlotte Hasager, Rao Kotamarthi, Jeffrey Mirocha, Paytsar Muradyan, William Pringle, David Turner, and James Wilczak
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2021-156,https://doi.org/10.5194/wes-2021-156, 2022
Revised manuscript accepted for WES
Short summary

Cited articles

AbuGazia, M., El Damatty, A. A., Dai, K., Lu, W., and Ibrahim, A.: Numerical model for analysis of wind turbines under tornadoes, Eng. Struct., 223, 111157, https://doi.org/10.1016/j.engstruct.2020.111157, 2020. a
Aird, J. A., Barthelmie, R. J., Shepherd, T. J., and Pryor, S. C.: WRF-simulated low-level jets over Iowa: characterization and sensitivity studies, Wind Energ. Sci., 6, 1015–1030, https://doi.org/10.5194/wes-6-1015-2021, 2021. a
Arakawa, A., Jung, J.-H., and Wu, C.-M.: Toward unification of the multiscale modeling of the atmosphere, Atmos. Chem. Phys., 11, 3731–3742, https://doi.org/10.5194/acp-11-3731-2011, 2011. a
Bakhshi, R. and Sandborn, P.: The effect of yaw error on the reliability of wind turbine blades, in: Energy Sustainability, vol. 50220, American Society of Mechanical Engineers, p. V001T14A001, https://doi.org/10.1115/ES2016-59151, 2016. a
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, 2015. a
Download
Short summary
The sensitivity of the WRF mesoscale modeling framework in accurately representing and predicting wind-farm-level environmental variables for three extreme weather events over the Belgian North Sea is investigated in this study. The overall results indicate highly sensitive simulation results to the type and combination of physics parameterizations and the type of the weather phenomena, with indications that scale-aware physics parameterizations better reproduce wind-related variables.