Energy: Wind Power Modeling

Presentations

• Optimal renewable microgrid energy dispatch in the presence of uncertainty wind speed forecasting

  ORAL

  Nov. 20, 2023, 8:00 AM – Nov. 20, 2023, 8:13 AM

  Presenters

  • Diego Aguilar

    Purdue University

  Authors

  • Diego Aguilar

    Purdue University

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• Analytical coupled Ekman and surface layer model for ABL flows and applications to wind farm modeling

  ORAL

  Nov. 20, 2023, 8:13 AM – Nov. 20, 2023, 8:26 AM

  Presenters

  • Ghanesh Narasimhan

    Johns Hopkins University

  Authors

  • Ghanesh Narasimhan

    Johns Hopkins University

  • Dennice F Gayme

    Johns Hopkins University

  • Charles Meneveau

    Johns Hopkins University

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• Effects of wind-farm blockage and gravity waves on large-scale wind farms operating in conventionally neutral boundary layers

  ORAL

  Nov. 20, 2023, 8:26 AM – Nov. 20, 2023, 8:39 AM

  Presenters

  • Johan Meyers

    Katholieke University Leuven

  Authors

  • Luca Lanzilao

    Katholieke University Leuven

  • Johan Meyers

    Katholieke University Leuven

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• Investigating aerodynamic coupling between wind shear and utility-scale wind turbines

  ORAL

  Nov. 20, 2023, 8:39 AM – Nov. 20, 2023, 8:52 AM

  Presenters

  • Storm A Mata

    Massachusetts Institute of Technology

  Authors

  • Storm A Mata

    Massachusetts Institute of Technology

  • Michael F Howland

    Massachusetts Institute of Technology

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• Effects of heterogeneous surface heat flux on wind turbine wakes in LES over a diurnal cycle

  ORAL

  Nov. 20, 2023, 8:52 AM – Nov. 20, 2023, 9:05 AM

  Presenters

  • Xiaowei Zhu

    Portland State University, Johns Hopkins University

  Authors

  • Xiaowei Zhu

    Portland State University, Johns Hopkins University

  • Shuolin Xiao

    Cornell Univeristy, Johns Hopkins University

  • Ghanesh Narasimhan

    Johns Hopkins University

  • Dennice F Gayme

    Johns Hopkins University

  • Charles Meneveau

    Johns Hopkins University

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• Modeling the effects of swell and vertical wave motions in wall-modeled Large Eddy Simulation of offshore wind farms

  ORAL

  Nov. 20, 2023, 9:05 AM – Nov. 20, 2023, 9:18 AM

  Publication: A dynamic wall modeling approach for Large Eddy Simulation of offshore wind farms in realistic oceanic conditions (Preprint)<br><br>

  Presenters

  • Aditya Aiyer

    Princeton University

  Authors

  • Aditya Aiyer

    Princeton University

  • Luc Deike

    Princeton University

  • Michael E Mueller

    Princeton University

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• Examining the influence of upwide farm geometries on wind farm cluster wakes

  ORAL

  Nov. 20, 2023, 9:18 AM – Nov. 20, 2023, 9:31 AM

  Presenters

  • Hannah Hata H Williams

    Princeton University

  Authors

  • Hannah Hata H Williams

    Princeton University

  • Georgios Deskos

    National Renewable Energy Laboratory

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• Artificial Intelligence and High-Performance Computing in the Context of Particle-Laden Turbulent Flow and Wind Energy

  ORAL

  Nov. 20, 2023, 9:31 AM – Nov. 20, 2023, 9:44 AM

  Publication: - Hassanian, R.; Riedel, M. Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking. Machines 2023, 11, 566. https://doi.org/10.3390/machines11050566<br>- R. Hassanian, H. Myneni, Á. Helgadóttir, M. Riedel; Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models. Physics of Fluids 1 July 2023; 35 (7): 075118. https://doi.org/10.1063/5.0157897<br>- R. Hassanian, Á. Helgadóttir, L. Bouhlali, M. Riedel; An experiment generates a specified mean strained rate turbulent flow: Dynamics of particles. Physics of Fluids 1 January 2023; 35 (1): 015124. https://doi.org/10.1063/5.0134306<br>- Hassanian, R.; Helgadóttir, Á.; Riedel, M. Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU. Fluids 2022, 7, 344. https://doi.org/10.3390/fluids7110344<br>- R. Hassanian, M. Riedel and L. Bouhlali, "The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features," 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), Reykjavík, Iceland, 2022, pp. 000335-000338, doi: 10.1109/ICCC202255925.2022.9922754.

  Presenters

  • Morris Riedel

    The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland; Juelich Supercomputing Centre, Germany, The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Iceland; Juelich Supercomputing Centre, Germany

  Authors

  • Morris Riedel

    The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland; Juelich Supercomputing Centre, Germany, The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Iceland; Juelich Supercomputing Centre, Germany

  • Ásdís Helgadóttir

    The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 102 Reykjavik, Iceland

  • Pedro Costa

    The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Iceland; Delft University of Technology, The Netherlands

  • Andreas Lintermann

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, 52428 Jülich, Germany

  • Andrea Beck

    Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Stuttgart, Germany

  • Reza Hassanian

    The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 102 Reykjavik, Iceland

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• Numerical Assessment of Dynamic Loads in Two-Blade and Three-Blade Wind Turbines under Varying Hurricane Categories and Power Generation.

  ORAL

  Nov. 20, 2023, 9:44 AM – Nov. 20, 2023, 9:57 AM

  Publication: Under process

  Presenters

  • Oluwatuyi N Johnson

    Purdue university

  Authors

  • Oluwatuyi N Johnson

    Purdue university

  • Jhon J Quinones

    Purdue University

  • Luciano Castillo

    Purdue University

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• Quantifying Structural Reliability in Off-Shore Wind Turbines: Sampling, Instanton, and Sensitivity Analysis

  ORAL

  Nov. 20, 2023, 9:57 AM – Nov. 20, 2023, 10:10 AM

  Presenters

  • Yihan Liu

    University of Arizona

  Authors

  • Yihan Liu

    University of Arizona

  • Criston M Hyett

    The University of Arizona

  • Michael Chertkov

    University of Arizona

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• Capturing aerodynamic forces on wind turbine blades using a tip-corrected Actuator Line Method

  ORAL

  Nov. 20, 2023, 10:10 AM – Nov. 20, 2023, 10:23 AM

  Presenters

  • Davide Selvatici

    University Of Twente

  Authors

  • Davide Selvatici

    University Of Twente

  • Richard Stevens

    University Of Twente, Univ of Twente

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• Effects of helical-shaped blades on wake characteristics and power production of vertical-axis wind turbines in finite-length wind farms

  ORAL

  Nov. 20, 2023, 10:23 AM – Nov. 20, 2023, 10:36 AM

  Presenters

  • Di Yang

    University of Houston

  Authors

  • Di Yang

    University of Houston

  • Masoumeh Gharaati

    University of Houston

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