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)
  
  

  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
  - 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
  - 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
  - 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
  - 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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