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Department of Mechanical and Production Engineering

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Eidi, A., Zehtabiyan-Rezaie, N., Chiassi, R., Yang, X. I. A. & Abkar, M. (2022). Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms. Physics of Fluids, 34(8), Article 085135. https://doi.org/10.1063/5.0100076

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. https://doi.org/10.1063/5.0091980

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Article FE-22-1510. https://doi.org/10.1115/1.4057016

Hansen, C., I. A. Yang, X. & Abkar, M. (2022). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Boundary Layers. In Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Article FEDSM2022-87630, V002T05A023 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2022-87630

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Article 236. https://doi.org/10.1145/3567591

Abkar, M. (2020). Computer models show clear advantages in new types of wind turbines. In J. Bruun (Ed.), Profile 2020 (pp. 52-55). Aarhus Universitet, Institut for Ingeniørvidenskab . https://www.e-pages.dk/aarhusuniversitet/2231/html5/

Yang, X. I. A., Zhang, W., Abkar, M. & Anderson, W. (2024). Computational fluid dynamics: Its carbon footprint and role in carbon reduction. Journal of Renewable and Sustainable Energy, 16(5), Article 055906. https://doi.org/10.1063/5.0217320

Gautam, K. R., Rong, L., Zhang, G. & Abkar, M. (2019). Comparison of analysis methods for wind-driven cross ventilation through large openings. Building and Environment, 154, 375-388. https://doi.org/10.1016/j.buildenv.2019.02.009

Rincón, M. J., Reclari, M., Yang, X. & Abkar, M. (2023). CFD-aided morphing and design optimisation of ultrasonic flow meters. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (pp. 109-114) https://www.ercoftac.org/etmm/program/conference-program/

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). A short note on turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 240, Article 105504. https://doi.org/10.1016/j.jweia.2023.105504

Amarloo, A., Zehtabiyan-Rezaie, N. & Abkar, M. (2024). A progressive data-augmented RANS model for enhanced wind-farm simulations. Energy, 313, Article 133762. https://doi.org/10.1016/j.energy.2024.133762

E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y., Abkar, M. & I. Park, G. (2023). A priori screening of data-enabled turbulence models. Physical Review Fluids, 8(12), Article 124606. https://doi.org/10.1103/PhysRevFluids.8.124606

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Article A24. https://doi.org/10.1017/jfm.2023.857

Baungaard, M., Abkar, M., van der Laan, M. P. & Kelly, M. (2022). A numerical investigation of a wind turbine wake in non-neutral atmospheric conditions. Journal of Physics: Conference Series, 2265(2), Article 022015. https://doi.org/10.1088/1742-6596/2265/2/022015

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). An extended k- ε model for wind-farm simulation. In 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements: Proceedings (pp. 373-378)

Zehtabiyan-Rezaie, N. & Abkar, M. (2024). An extended K-ɛ model for wake-flow simulation of wind farms. Renewable Energy, 222, Article 119904. https://doi.org/10.1016/j.renene.2023.119904

Abkar, M. & Porte-Agel, F. (2015). A new wind-farm parameterization for large-scale atmospheric models. Journal of Renewable and Sustainable Energy, 7(1), Article 013121. https://doi.org/10.1063/1.4907600

Abkar, M. & Porte-Agel, F. (2012). A new boundary condition for large-eddy simulation of boundary-layer flow over surface roughness transitions. Journal of Turbulence, 13(23), 1-18. Article 23. https://doi.org/10.1080/14685248.2012.695077

Abkar, M., Sørensen, J. N. & Porte-Agel, F. (2018). An analytical model for the effect of vertical wind veer on wind turbine wakes. Energies, 11(7), Article 1838. https://doi.org/10.3390/en11071838

Nozarian, S., Abkar, M. & Forooghi, P. (2024). An analysis of drag reduction using spanwise forcing on rough walls. International Journal of Heat and Fluid Flow, 106, Article 109306. https://doi.org/10.1016/j.ijheatfluidflow.2024.109306

Yang, X. I. A. & Abkar, M. (2018). A hierarchical random additive model for passive scalars in wall-bounded flows at high Reynolds numbers. Journal of Fluid Mechanics, 842, 354-380. https://doi.org/10.1017/jfm.2018.139

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Mahdi Abkar