Articles | Volume 10, issue 9
https://doi.org/10.5194/wes-10-2025-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-2025-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Upwind vs. downwind: loads and acoustics of a 1.5 MW wind turbine
Pietro Bortolotti
CORRESPONDING AUTHOR
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Lee Jay Fingersh
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Nicholas Hamilton
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Arlinda Huskey
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Chris Ivanov
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Mark Iverson
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Jonathan Keller
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Scott Lambert
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Jason Roadman
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Derek Slaughter
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Syhoune Thao
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
Consuelo Wells
National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA
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John Jasa, Pietro Bortolotti, Daniel Zalkind, and Garrett Barter
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Amir R. Nejad, Jonathan Keller, Yi Guo, Shawn Sheng, Henk Polinder, Simon Watson, Jianning Dong, Zian Qin, Amir Ebrahimi, Ralf Schelenz, Francisco Gutiérrez Guzmán, Daniel Cornel, Reza Golafshan, Georg Jacobs, Bart Blockmans, Jelle Bosmans, Bert Pluymers, James Carroll, Sofia Koukoura, Edward Hart, Alasdair McDonald, Anand Natarajan, Jone Torsvik, Farid K. Moghadam, Pieter-Jan Daems, Timothy Verstraeten, Cédric Peeters, and Jan Helsen
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This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the energy conversion systems transferring the kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning and recycling. The main aim of this article is to review the drivetrain technology development as well as to identify future challenges and research gaps.
Ernesto Camarena, Evan Anderson, Josh Paquette, Pietro Bortolotti, Roland Feil, and Nick Johnson
Wind Energ. Sci., 7, 19–35, https://doi.org/10.5194/wes-7-19-2022, https://doi.org/10.5194/wes-7-19-2022, 2022
Short summary
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Pietro Bortolotti, Nick Johnson, Nikhar J. Abbas, Evan Anderson, Ernesto Camarena, and Joshua Paquette
Wind Energ. Sci., 6, 1277–1290, https://doi.org/10.5194/wes-6-1277-2021, https://doi.org/10.5194/wes-6-1277-2021, 2021
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Alayna Farrell, Jennifer King, Caroline Draxl, Rafael Mudafort, Nicholas Hamilton, Christopher J. Bay, Paul Fleming, and Eric Simley
Wind Energ. Sci., 6, 737–758, https://doi.org/10.5194/wes-6-737-2021, https://doi.org/10.5194/wes-6-737-2021, 2021
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Most current wind turbine wake models struggle to accurately simulate spatially variant wind conditions at a low computational cost. In this paper, we present an adaptation of NREL's FLOw Redirection and Induction in Steady State (FLORIS) wake model, which calculates wake losses in a heterogeneous flow field using local weather measurement inputs. Two validation studies are presented where the adapted model consistently outperforms previous versions of FLORIS that simulated uniform flow only.
Helena Canet, Pietro Bortolotti, and Carlo L. Bottasso
Wind Energ. Sci., 6, 601–626, https://doi.org/10.5194/wes-6-601-2021, https://doi.org/10.5194/wes-6-601-2021, 2021
Short summary
Short summary
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Luis A. Martínez-Tossas, Jennifer King, Eliot Quon, Christopher J. Bay, Rafael Mudafort, Nicholas Hamilton, Michael F. Howland, and Paul A. Fleming
Wind Energ. Sci., 6, 555–570, https://doi.org/10.5194/wes-6-555-2021, https://doi.org/10.5194/wes-6-555-2021, 2021
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In this paper a three-dimensional steady-state solver for flow through a wind farm is developed and validated. The computational cost of the solver is on the order of seconds for large wind farms. The model is validated using high-fidelity simulations and SCADA.
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Short summary
This study compares a wind turbine with blades behind the tower (downwind) to the traditional upwind design. Testing a 1.5 MW turbine at the National Renewable Energy Laboratory's Flatirons Campus, we measured performance, loads, and noise. Numerical models matched well with observations. The downwind setup showed higher fatigue loads and sound variations but also an unexpected power improvement. Downwind rotors might be a valid alternative for future floating offshore wind applications.
This study compares a wind turbine with blades behind the tower (downwind) to the traditional...
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