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Department of Mechanical and Production Engineering

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Abkar, M., Porte-Agel, F. & Sørensen, J. (2019). Wind Turbine Wakes in Directionally Varying Wind Shears. In R. Örlü, A. Talamelli, J. Peinke & M. Oberlack (Eds.), Progress in Turbulence VIII: Proceedings of the iTi Conference in Turbulence 2018 (pp. 311-316). Springer. https://doi.org/10.1007/978-3-030-22196-6_49

Speakman, G. A., Abkar, M., A. Martínez-Tossas, L. & Bastankhah, M. (2021). Wake steering of multirotor wind turbines. Wind Energy, 24(11), 1294-1314. https://doi.org/10.1002/we.2633

Abkar, M., Sharifi, A. & Porte-Agel, F. (2016). Wake flow in a wind farm during a diurnal cycle. Journal of Turbulence, 17(4), 420-441. https://doi.org/10.1080/14685248.2015.1127379

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, Article 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Rincón, M. J., Reclari, M. & Abkar, M. (2022). Turbulent flow in small-diameter ultrasonic flow meters: A numerical and experimental study. Flow Measurement and Instrumentation, 87, Article 102227. https://doi.org/10.1016/j.flowmeasinst.2022.102227

Alvandifar, N., Abkar, M., Mansoori, Z., Avval, M. S. & Ahmadi, G. (2011). Turbulence modulation for gas-particle flow in vertical tube and horizontal channel using four-way Eulerian-Lagrangian approach. International Journal of Heat and Fluid Flow, 32(4), 826-833. https://doi.org/10.1016/j.ijheatfluidflow.2011.05.008

Abkar, M. (2019). Theoretical modeling of vertical-axis wind turbine wakes. Energies, 12(1), Article 10. https://doi.org/10.3390/en12010010

Abkar, M. & Porte-Agel, F. (2013). The effect of free-atmosphere stratification on boundary-layer flow and power output from very large wind farms. Energies, 6(5), 2338-2361. https://doi.org/10.3390/en6052338

Abkar, M. & Porte-Agel, F. (2014). The effect of atmospheric stability on wind-turbine wakes: A large-eddy simulation study. In SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014) IOP PUBLISHING LTD. https://doi.org/10.1088/1742-6596/524/1/012138

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Article 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

Forooghi, P., Abkar, M. & Saffar-Avval, M. (2011). Steady and unsteady heat transfer in a channel partially filled with porous media under thermal non-equilibrium condition. Transport in Porous Media, 86(1), 177-198. https://doi.org/10.1007/s11242-010-9615-7

Abkar, M. & Dabiri, J. O. (2017). Self-similarity and flow characteristics of vertical-axis wind turbine wakes: an LES study. Journal of Turbulence, 18(4), 373-389. https://doi.org/10.1080/14685248.2017.1284327

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Secondary flows in statistically unstable turbulent boundary layers with spanwise heterogeneous roughness. Theoretical and Applied Mechanics Letters, 12(2), Article 100317. https://doi.org/10.1016/j.taml.2021.100317

I. A. Yang, X., Pirozzoli, S. & Abkar, M. (2020). Scaling of velocity fluctuations in statistically unstable boundary-layer flows. Journal of Fluid Mechanics, 886, Article A3. https://doi.org/10.1017/jfm.2019.1034

Forooghi, P., I. A. Yang, X. & Abkar, M. (2020). Roughness-induced secondary flows in stably stratified turbulent boundary layers. Physics of Fluids, 32(10), Article 105118. https://doi.org/10.1063/5.0025949

Cremades Rey, L. F., Hinz, D. F. & Abkar, M. (2019). Reynolds Stress Perturbation for Epistemic Uncertainty Quantification of RANS Models Implemented in OpenFOAM. Fluids, 4(2), Article 113. https://doi.org/10.3390/fluids4020113

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series (Online), 2505, Article 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Bastankhah, M. & Abkar, M. (2019). Multirotor wind turbine wakes. Physics of Fluids, 31(8), Article 085106. https://doi.org/10.1063/1.5097285

Eidi, A., Ghiassi, R., Yang, X. I. A. & Abkar, M. (2021). Model-form uncertainty quantification in RANS simulations of wakes and power losses in wind farms. Renewable Energy, 179, 2212-2223. https://doi.org/10.1016/j.renene.2021.08.012

Abkar, M., Bae, H.-J. & Moin, P. (2016). Minimum-dissipation scalar transport model for large-eddy simulation of turbulent flows. Physical Review Fluids, 1(4), Article 041701. https://doi.org/10.1103/PhysRevFluids.1.041701

Abkar, M. & Porte-Agel, F. (2014). Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition. Renewable Energy, 70, 142-152. https://doi.org/10.1016/j.renene.2014.03.050

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), Article 055122 . https://doi.org/10.1063/5.0147570

Yang, X. I. A., E. S. Chen, P., Hu, R. & Abkar, M. (2022). Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers. Boundary-Layer Meteorology, 183(2), 199-213. https://doi.org/10.1007/s10546-021-00683-5

Yang, H., Ge, M., Abkar, M. & I. A. Yang, X. (2022). Large-eddy simulation study of wind turbine array above swell sea. Energy, 256, Article 124674. https://doi.org/10.1016/j.energy.2022.124674

Abkar, M. & Moin, P. (2017). Large-eddy simulation of thermally stratified atmospheric boundary-layer flow using a minimum dissipation model. Boundary-Layer Meteorology, 165(3), 405-419. https://doi.org/10.1007/s10546-017-0288-4

Abkar, M., Sharifi, A. & Porte-Agel, F. (2015). Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm. In WAKE CONFERENCE 2015 IOP PUBLISHING LTD. https://doi.org/10.1088/1742-6596/625/1/012031

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

Abkar, M. (2014). Interaction of the atmospheric boundary layer with land surface heterogeneity and wind turbines: numerical and analytical studies.

Abkar, M. & Porte-Agel, F. (2016). Influence of the Coriolis force on the structure and evolution of wind turbine wakes. Physical Review Fluids, 1(6), Article 063701. https://doi.org/10.1103/PhysRevFluids.1.063701

Abkar, M. & Porte-Agel, F. (2015). Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study. Physics of Fluids, 27(3), Article 035104. https://doi.org/10.1063/1.4913695

van der Laan, P. & Abkar, M. (2019). Improved energy production of multi-rotor wind farms. Journal of Physics: Conference Series (Online), 1256(1), Article 012011. https://doi.org/10.1088/1742-6596/1256/1/012011

Abkar, M. (2018). Impact of subgrid-scale modeling in actuator-line based large-eddy simulation of vertical-axis wind turbine wakes. Atmosphere, 9(7), Article 257. https://doi.org/10.3390/atmos9070257

Abkar, M., Forooghi, P., Abbassi, A. & Aghdam, M. M. (2010). Heat transfer of non-Newtonian fluid flow in a channel lined with porous layers under thermal non-equilibrium conditions. Journal of porous media, 13(3), 235-246.

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. In ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Vol. 9). Article IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Article 081501. https://doi.org/10.1115/1.4064850

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Frozen propagation of Reynolds force vector from high-fidelity data into Reynolds-averaged simulations of secondary flows. Physics of Fluids, 34(11), Article 115102. https://doi.org/10.1063/5.0123231

Rincón, M. J., Caspersen, A., Thorenfeldt Ingwersen, N., Reclari, M. & Abkar, M. (2024). Flow investigation of two-stand ultrasonic flow meters in a wide dynamic range by numerical and experimental methods. Flow Measurement and Instrumentation, 96, Article 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

Hansen, C., Sørensen, J. N., I. A. Yang, X. & Abkar, M. (2024). Extension of the law of the wall exploiting weak similarity of velocity fluctuations in turbulent channels. Physics of Fluids, 36(1), Article 015134. https://doi.org/10.1063/5.0185334

Hansen, M. M., Enevoldsen, P. & Abkar, M. (2020). Energy harvesting via co-locating horizontal-and vertical-axis wind turbines. Journal of Physics: Conference Series, 1618(3), Article 032004. https://doi.org/10.1088/1742-6596/1618/3/032004

D. Huang, X. L. ., Jain, N., Abkar, M., Kunz, R. F. & Yang, X. I. A. (2021). Determining a priori a RANS model’s applicable range via global epistemic uncertainty quantification. Computers & Fluids, 230, Article 105113. https://doi.org/10.1016/j.compfluid.2021.105113

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Article 075154. https://doi.org/10.1063/5.0160977

Iungo, G. V., Santoni-Ortiz, C., Abkar, M., Porte-Agel, F., Rotea, M. A. & Leonardi, S. (2015). Data-driven reduced order model for prediction of wind turbine wakes. In WAKE CONFERENCE 2015 IOP PUBLISHING LTD. https://doi.org/10.1088/1742-6596/625/1/012009

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

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Revised 19.12.2023

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Mahdi Abkar