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A framework for optimization of turbulent wind-farm boundary layers and application to optimal control of wind-farm energy extraction
2016
2016 American Control Conference (ACC)
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A PDE-based optimization framework is presented that allows optimization of turbulent wind-farm boundary layers. ...
We use this tool to investigate the use of optimal coordinated control of wind-farm boundary-layer interaction with the aim of increasing the total energy extraction in wind farms. ...
INTRODUCTION It is well know that wake accumulation, and the interaction of the wind farm with the atmospheric boundary layer leads to a decrease in energy extraction downstream in the farm that can amount ...
doi:10.1109/acc.2016.7524966
dblp:conf/amcc/MeyersMG16
fatcat:qgbdbxxfmnbe3i23gg6m7gpyuu
Optimal Coordinated Control of Power Extraction in LES of a Wind Farm with Entrance Effects
2016
Energies
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We investigate the use of optimal coordinated control techniques in large eddy simulations of wind farm boundary layer interaction with the aim of increasing the total energy extraction in wind farms. ...
For the optimal control, a receding horizon framework is employed in which turbine thrust coefficients are optimized in time and per turbine. ...
To this end, large eddy simulations (LESs) of a wind farm boundary layer are performed, where the LES model itself is used as a control model in a receding horizon optimal control framework. ...
doi:10.3390/en9010029
fatcat:mqbic2byk5e5bc72u2ise7nukm
Optimal control of energy extraction in wind-farm boundary layers
2015
Journal of Fluid Mechanics
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To this end, we use large-eddy simulations of a fully developed pressure-driven wind-farm boundary layer in a receding-horizon optimal control framework. ...
For a pressure-driven boundary layer in equilibrium, we estimate that such a shift can lead to an increase in wind-farm energy extraction of 6 %. ...
Conclusions In the current study, we investigated optimal control of wind-farm boundary layers in large-eddy simulations with the aim to increase wind-farm energy extraction. ...
doi:10.1017/jfm.2015.70
fatcat:gy5cui2uavf67dnud3b6yoay4i
Wind farm flow control: prospects and challenges
2022
Wind Energy Science
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Wind farm control has been a topic of research for more than two decades. ...
It has been identified as a core component of grand challenges in wind energy science to support accelerated wind energy deployment and to transition to a clean and sustainable energy system for the 21st ...
Whether it is possible to control turbulence at a larger boundary layer scale for improved mixing and energy extraction also remains an interesting fundamental research question. ...
doi:10.5194/wes-7-2271-2022
fatcat:7zubojlr6rhwnnbbbco62dbase
An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer
2017
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Research Cite this article: Munters W, Meyers J. 2017 An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer. Phil. Trans. ...
A 375: 20160100. http://dx.One contribution of 11 to a theme issue 'Wind energy in complex terrains' . Subject Areas: fluid mechanics, power and energy systems, mechanical engineering ...
Recently, Goit & Meyers [3] introduced an optimal coordinated control framework for dynamic induction control of wind-farm boundary layers for maximal energy extraction. ...
doi:10.1098/rsta.2016.0100
pmid:28265024
pmcid:PMC5346219
fatcat:h642std7dbfdff4g25hgsy7j6y
Towards practical dynamic induction control of wind farms: analysis of optimally controlled wind-farm boundary layers and sinusoidal induction control of first-row turbines
2018
Wind Energy Science
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</strong> Wake interactions between wind turbines in wind farms lead to reduced energy extraction in downstream rows. ...
In recent work, optimization and large-eddy simulation were combined with the optimal dynamic induction control of wind farms to study the mitigation of these effects, showing potential power gains of ...
The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation -Flanders (FWO) and the Flemish Government, department ...
doi:10.5194/wes-3-409-2018
fatcat:3zmziadadbcwncu7kd5unmk7ya
Towards practical dynamic induction control of wind farms: analysis of optimally controlled wind-farm boundary layers and sinusoidal induction control of first-row turbines
2018
Wind Energy Science Discussions
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Wake interactions between wind turbines in wind farms lead to reduced energy extraction in downstream rows. ...
In recent work, optimization and large-eddy simulation were combined with optimal dynamic induction control of wind farms to study the mitigation of these effects, showing potential power gains of up to ...
Figures 4c shows sideviews of turbulence kinetic energy. The figure shows an increase in turbulence throughout the entire wind farm, spreading to the internal boundary layer above the turbines. ...
doi:10.5194/wes-2018-15
fatcat:kfuliugqvngq5ml7rzsyqst6xm
Wind farm power optimization through wake steering
2019
Proceedings of the National Academy of Sciences of the United States of America
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To increase wind farm power production, we developed a wake steering control scheme. ...
However, wind turbines are often placed in close proximity within wind farms due to land and transmission line constraints, which results in wind farm efficiency degradation of up to 40% for wind directions ...
We thank TransAlta Corporation and TransAlta ...
doi:10.1073/pnas.1903680116
pmid:31262816
pmcid:PMC6642370
fatcat:pg4dtibokjgzzidlfwxzimaqhi
Wind Turbine Wake Mitigation through Blade Pitch Offset
2017
Energies
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Nevertheless, the low turbulence scenarios where the use of this method is favorable, are expected in realistic wind farms, suggesting its possible application for improved power generation. ...
One approach to this end entails the downregulation of individual turbines from its maximum power point with the objective of optimizing the overall wind farm productivity. ...
ψ M Energies 2017, 10, 757 5 of 17 is the stability correction factor, which is zero for a neutral boundary layer. ...
doi:10.3390/en10060757
fatcat:gdspnrrbkrahpfyyzcwltsuwja
Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization
2018
Energies
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We study a 4 × 4 aligned wind farm, and find that for this farm layout yaw control is more effective than induction control, both for uniform and turbulent inflow conditions. ...
In wind farms, wakes originating from upstream turbines cause reduced energy extraction and increased loading variability in downstream rows. ...
For a more elaborate explanation and previous applications of the SP-Wind framework we refer the reader to Refs. [11, 12, 14, 34, 35] . ...
doi:10.3390/en11010177
fatcat:xsq3fke74jc73nq5vfruxgktra
Interaction of vortex stretching with wind power fluctuations
[article]
2022
arXiv
pre-print
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The transfer of turbulence kinetic energy from large to small scales occurs through vortex stretching. ...
and the local energy fluxes in the wakes of wind turbines. ...
CONCLUSION AND FUTURE DIRECTION This article presents a scale-adaptive LES framework for wind energy applications. ...
arXiv:2205.08073v1
fatcat:pmj5azg44rfttooonfzghi25xm
Set-point optimization in wind farms to mitigate effects of flow blockage induced by atmospheric gravity waves
2021
Wind Energy Science
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In the current study, we investigate the idea of controlling the wind farm in order to mitigate the efficiency drop due to wind-farm-induced gravity waves and blockage. ...
We implement an optimization model in order to derive the thrust-coefficient distribution, which maximizes the wind-farm energy extraction. ...
This paper was edited by Katherine Dykes and reviewed by Jan-Willem van Wingerden, Alan Wai Hou Lio, Dries Allaerts, and one anonymous referee. ...
doi:10.5194/wes-6-247-2021
fatcat:2g3rinbmqfer3fb3hnvru2n2ay
Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions
2022
Wind Energy Science
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the atmospheric stability, wind speed and direction, shear, turbulence, and other atmospheric boundary layer (ABL) flow features. ...
The increase in energy production for the simulated wind farm design for closed- and open-loop wake steering control, compared to baseline yaw-aligned control, is 4.0 %–4.1 % and 3.4 %–3.8 %, respectively ...
The turbulence intensity is extracted from the baseline yaw-aligned control simulation as a function of time. ...
doi:10.5194/wes-7-345-2022
fatcat:bdqcf7foofcy3a634njm65eulm
Definition of reference wind farms and simulation scenarios
2017
Zenodo
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Definitions have been made in the light of the requirements of the applications of WP2 (Wind Farm Flow control technologies and algorithms) and WP3 (Demonstration and Validation of Prototypes) in order ...
This report describes the theoretical base for the reference wind farm and simulation scenarios definition for CL-Windcon project. ...
Iu (%)
Boundary Layer
14x4
16
< ±3
<2
Up to 35 % for
ABL condition
Low Turbulence
4x4
55
< ±0.2
<0.1
Table 4 : 4 Use cases and simulation scenarios for controller performance verification ...
doi:10.5281/zenodo.3462384
fatcat:4e3tizwcefe37b5rwect54k2qm
Validation of FAST.Farm Against Large-Eddy Simulations
2018
Journal of Physics, Conference Series
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Acknowledgements The Alliance for Sustainable Energy, LLC (Alliance) is the manager and operator of the National Renewable Energy Laboratory (NREL). NREL is a national laboratory of the U.S. ...
Department of Energy or the U.S. government.The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up ...
farm in the atmospheric boundary layer; a wind farm super controller; and wake deficits, advection, deflection, meandering, and merging. ...
doi:10.1088/1742-6596/1037/6/062005
fatcat:3gffxiu2snbdvhbyatkl2m4fhi
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