On the Use of Site Data to Define Extreme Turbulence Conditions for Wind Turbine Design

Moon, Jae Sang; Sahasakkul, Watsamon; Soni, Mohit; Manuel, Lance

doi:10.2514/6.2014-0870

Cited by 2 publications

(2 citation statements)

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“…These differences in inflow definitions lead to different loads (Eliassen and Andersen, 2016;Doubrawa et al, 2019); sometimes these results are even contradictory, and such differences remain to be thoroughly investigated. Other work notes that what designers use as an "extreme turbulence model" (IEC, 2019) might not reflect any real conditions (Hannesdóttir et al, 2019;Moon and Sahasakkul, 2014), and the extreme events, in particular wind gust definitions, may be non-conservative at some sites (Rakib et al, 2020). Extreme events, such as thunderstorm downbursts, can have spatial and temporal characteristics that are quite distinct from IEC design load cases, as noted in analytical models that match recorded events (Nguyen et al, 2011), as well as in large-eddy simulation (LES) Weather Research and Forecasting models of realistic downbursts (Hawbecker et al, 2017).…”

Section: Inflow Modelingmentioning

confidence: 99%

Grand challenges in the design, manufacture, and operation of future wind turbine systems

Veers¹,

Bottasso²,

Manuel³

et al. 2023

Wind Energ. Sci.

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Abstract. Wind energy is foundational for achieving 100 % renewable electricity production, and significant innovation is required as the grid expands and accommodates hybrid plant systems, energy-intensive products such as fuels, and a transitioning transportation sector. The sizable investments required for wind power plant development and integration make the financial and operational risks of change very high in all applications but especially offshore. Dependence on a high level of modeling and simulation accuracy to mitigate risk and ensure operational performance is essential. Therefore, the modeling chain from the large-scale inflow down to the material microstructure, and all the steps in between, needs to predict how the wind turbine system will respond and perform to allow innovative solutions to enter commercial application. Critical unknowns in the design, manufacturing, and operability of future turbine and plant systems are articulated, and recommendations for research action are laid out. This article focuses on the many unknowns that affect the ability to push the frontiers in the design of turbine and plant systems. Modern turbine rotors operate through the entire atmospheric boundary layer, outside the bounds of historic design assumptions, which requires reassessing design processes and approaches. Traditional aerodynamics and aeroelastic modeling approaches are pressing against the limits of applicability for the size and flexibility of future architectures and flow physics fundamentals. Offshore wind turbines have additional motion and hydrodynamic load drivers that are formidable modeling challenges. Uncertainty in turbine wakes complicates structural loading and energy production estimates, both around a single plant and for downstream plants, which requires innovation in plant operations and flow control to achieve full energy capture and load alleviation potential. Opportunities in co-design can bring controls upstream into design optimization if captured in design-level models of the physical phenomena. It is a research challenge to integrate improved materials into the manufacture of ever-larger components while maintaining quality and reducing cost. High-performance computing used in high-fidelity, physics-resolving simulations offer opportunities to improve design tools through artificial intelligence and machine learning, but even the high-fidelity tools are yet to be fully validated. Finally, key actions needed to continue the progress of wind energy technology toward even lower cost and greater functionality are recommended.

show abstract

Section: Inflow Modelingmentioning

confidence: 99%

Grand challenges in the design, manufacture, and operation of future wind turbine systems

Veers¹,

Bottasso²,

Manuel³

et al. 2023

Wind Energ. Sci.

View full text Add to dashboard Cite

show abstract

Section: Inflow Modelingmentioning

confidence: 99%

Grand Challenges in the Design, Manufacture, and Operation of Future Wind Turbine Systems

Veers

Bottasso

Manuel

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Wind energy is foundational for achieving 100 % renewable electricity production and significant innovation is required as the grid expands and accommodates hybrid plant systems, energy-intensive products such as fuels, and a transitioning transportation sector. The sizable investments required for wind power plant development and integration make the financial and operational risks of change very high in all applications, but especially offshore. Dependence on a high level of modeling and simulation accuracy to mitigate risk and ensure operational performance is essential. Therefore, the modeling chain from the large-scale inflow down to the material microstructure, and all the steps in between, needs to predict how the wind turbine system will respond and perform to allow innovative solutions to enter commercial application. Critical unknowns in the design, manufacturing, and operability of future turbine and plant systems are articulated and recommendations for research action are laid out. This article focuses on the many unknowns that affect the ability to push the frontiers in the design of turbine and plant systems. Modern turbine rotors operate through the entire atmospheric boundary layer, outside the bounds of historic design assumptions, which requires reassessing design processes and approaches. Traditional aerodynamics and aeroelastic modeling approaches are pressing against the boundaries of applicability for the size and flexibility of future architectures and flow physics fundamentals. Offshore turbines have additional motion and hydrodynamic load drivers that are formidable modeling challenges requiring innovation. Uncertainty in turbine wakes complicates both structural loading and energy production estimates and requires advances in plant operations and flow control to achieve full energy capture and load alleviation potential. Opportunities in co-design can bring controls upstream into design optimization if captured in design-level models of the physical phenomena. It is a research challenge to integrate improved materials into the manufacture of ever-larger components while maintaining quality and reducing cost. High-performance computing used in high-fidelity, physics-resolving simulations offer opportunities to improve design tools through artificial intelligence and machine learning. Finally, key recommended actions needed to continue the progress of wind energy technology toward even lower cost and greater functionality are summarized.

show abstract

On the Use of Site Data to Define Extreme Turbulence Conditions for Wind Turbine Design

Cited by 2 publications

References 1 publication

Grand challenges in the design, manufacture, and operation of future wind turbine systems

Grand challenges in the design, manufacture, and operation of future wind turbine systems

Grand Challenges in the Design, Manufacture, and Operation of Future Wind Turbine Systems

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