Wind farm optimization with multiple hub heights using gradient-based methods

Andreas Wolf Ciavarra; Rafael Valotta Rodrigues; Katherine Dykes; Pierre-Elouan Réthoré

doi:10.1088/1742-6596/2265/2/022012

Wind farm optimization with multiple hub heights using gradient-based methods

Andreas Wolf Ciavarra, Rafael Valotta Rodrigues^*, Katherine Dykes, Pierre-Elouan Réthoré

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Optimization of the Levelized Cost of Energy (LCoE) in wind farms helps ensure profitability and competitiveness of the project. Recent work has explored driving down LCoE by allowing multiple wind turbines in a single wind farm - with different hub heights, rotor diameters, and rated powers. In this work, we performed optimization of the Lillgrund wind farm with continuously varying hub-heights to mitigate wake interference, improve annual energy production (AEP) and reduce LCoE. The optimization converged to a configuration where the turbines were vertically staggered, resulting in an improvement in both AEP and internal rate of return (IRR) - a financial metric related to LCoE. Reducing the number of turbines to a discrete set of 2 or 3 retained nearly all the benefits of staggering but is more aligned with limitations related to manufacturing and logistics.

Original language	English
Title of host publication	Wind and Wind Farms; Measurement and Testing
Number of pages	10
Publisher	IOP Publishing
Publication date	2022
Article number	022012
DOIs	https://doi.org/10.1088/1742-6596/2265/2/022012
Publication status	Published - 2022
Event	The Science of Making Torque from Wind 2022 - Delft, Netherlands Duration: 1 Jun 2022 → 3 Jun 2022 Conference number: 9 https://www.torque2022.eu/

Conference

Conference	The Science of Making Torque from Wind 2022
Number	9
Country/Territory	Netherlands
City	Delft
Period	01/06/2022 → 03/06/2022
Internet address	https://www.torque2022.eu/

Series	Journal of Physics: Conference Series
Number	2
Volume	2265
ISSN	1742-6596

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title = "Wind farm optimization with multiple hub heights using gradient-based methods",

abstract = "Optimization of the Levelized Cost of Energy (LCoE) in wind farms helps ensure profitability and competitiveness of the project. Recent work has explored driving down LCoE by allowing multiple wind turbines in a single wind farm - with different hub heights, rotor diameters, and rated powers. In this work, we performed optimization of the Lillgrund wind farm with continuously varying hub-heights to mitigate wake interference, improve annual energy production (AEP) and reduce LCoE. The optimization converged to a configuration where the turbines were vertically staggered, resulting in an improvement in both AEP and internal rate of return (IRR) - a financial metric related to LCoE. Reducing the number of turbines to a discrete set of 2 or 3 retained nearly all the benefits of staggering but is more aligned with limitations related to manufacturing and logistics.",

author = "{Wolf Ciavarra}, Andreas and {Valotta Rodrigues}, Rafael and Katherine Dykes and Pierre-Elouan R{\'e}thor{\'e}",

year = "2022",

doi = "10.1088/1742-6596/2265/2/022012",

language = "English",

series = "Journal of Physics: Conference Series",

publisher = "IOP Publishing",

number = "2",

booktitle = "Wind and Wind Farms; Measurement and Testing",

address = "United Kingdom",

note = "The Science of Making Torque from Wind 2022, Torque 2022 ; Conference date: 01-06-2022 Through 03-06-2022",

url = "https://www.torque2022.eu/",

}

Wolf Ciavarra, A, Valotta Rodrigues, R, Dykes, K & Réthoré, P-E 2022, Wind farm optimization with multiple hub heights using gradient-based methods. in Wind and Wind Farms; Measurement and Testing., 022012, IOP Publishing, Journal of Physics: Conference Series, no. 2, vol. 2265, The Science of Making Torque from Wind 2022, Delft, Netherlands, 01/06/2022. https://doi.org/10.1088/1742-6596/2265/2/022012

Wind farm optimization with multiple hub heights using gradient-based methods. / Wolf Ciavarra, Andreas; Valotta Rodrigues, Rafael; Dykes, Katherine et al.
Wind and Wind Farms; Measurement and Testing. IOP Publishing, 2022. 022012 (Journal of Physics: Conference Series; No. 2, Vol. 2265).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Wind farm optimization with multiple hub heights using gradient-based methods

AU - Wolf Ciavarra, Andreas

AU - Valotta Rodrigues, Rafael

AU - Dykes, Katherine

AU - Réthoré, Pierre-Elouan

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PY - 2022

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N2 - Optimization of the Levelized Cost of Energy (LCoE) in wind farms helps ensure profitability and competitiveness of the project. Recent work has explored driving down LCoE by allowing multiple wind turbines in a single wind farm - with different hub heights, rotor diameters, and rated powers. In this work, we performed optimization of the Lillgrund wind farm with continuously varying hub-heights to mitigate wake interference, improve annual energy production (AEP) and reduce LCoE. The optimization converged to a configuration where the turbines were vertically staggered, resulting in an improvement in both AEP and internal rate of return (IRR) - a financial metric related to LCoE. Reducing the number of turbines to a discrete set of 2 or 3 retained nearly all the benefits of staggering but is more aligned with limitations related to manufacturing and logistics.

AB - Optimization of the Levelized Cost of Energy (LCoE) in wind farms helps ensure profitability and competitiveness of the project. Recent work has explored driving down LCoE by allowing multiple wind turbines in a single wind farm - with different hub heights, rotor diameters, and rated powers. In this work, we performed optimization of the Lillgrund wind farm with continuously varying hub-heights to mitigate wake interference, improve annual energy production (AEP) and reduce LCoE. The optimization converged to a configuration where the turbines were vertically staggered, resulting in an improvement in both AEP and internal rate of return (IRR) - a financial metric related to LCoE. Reducing the number of turbines to a discrete set of 2 or 3 retained nearly all the benefits of staggering but is more aligned with limitations related to manufacturing and logistics.

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PB - IOP Publishing

T2 - The Science of Making Torque from Wind 2022

Y2 - 1 June 2022 through 3 June 2022

ER -

Wind farm optimization with multiple hub heights using gradient-based methods

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