Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control
A large-eddy simulation framework has been coupled with controller modules to systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control strategies on utility-scale wind turbine energy production and fatigue loads. Wind turbine components were parameterized using a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722026415 |
| _version_ | 1797781954132705280 |
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| author | Christian Santoni Ali Khosronejad Peter Seiler Fotis Sotiropoulos |
| author_facet | Christian Santoni Ali Khosronejad Peter Seiler Fotis Sotiropoulos |
| author_sort | Christian Santoni |
| collection | DOAJ |
| description | A large-eddy simulation framework has been coupled with controller modules to systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control strategies on utility-scale wind turbine energy production and fatigue loads. Wind turbine components were parameterized using an actuator surface model to simulate the rotor blades and the turbine nacelle. The baseline CPC and IPC algorithms, consisting of single-input single-output proportional–integral controllers and two integral controllers, respectively, were incorporated into the numerical framework. A series of simulations were carried out to investigate the relative performance of the two controllers under various turbulent inflow conditions, spanning hub-height velocities of 7 to 14 m/s. The numerical simulation results of this study showed that, in comparison to the CPC, the IPC controller could successfully reduce the damage equivalent loads of utility-scale turbines at regions 2 and 3 of turbine operation by about 3% and 40%, respectively, without any penalty on the power production of the turbine. It was also shown that, despite its minor impact on the turbulence kinetic energy of the wake, the IPC controller did not influence the recovery of the turbine wake. |
| first_indexed | 2024-03-13T00:04:14Z |
| format | Article |
| id | doaj.art-c94e0ea9db594861893c3ac6ff97cce2 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:04:14Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-c94e0ea9db594861893c3ac6ff97cce22023-07-13T05:28:49ZengElsevierEnergy Reports2352-48472023-12-019793806Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch controlChristian Santoni0Ali Khosronejad1Peter Seiler2Fotis Sotiropoulos3Department of Civil Engineering, Stony Brook University, Stony Brook, NY 11794, United States of AmericaDepartment of Civil Engineering, Stony Brook University, Stony Brook, NY 11794, United States of America; Corresponding author.Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109-2102, United States of AmericaMechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA 23284, United States of AmericaA large-eddy simulation framework has been coupled with controller modules to systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control strategies on utility-scale wind turbine energy production and fatigue loads. Wind turbine components were parameterized using an actuator surface model to simulate the rotor blades and the turbine nacelle. The baseline CPC and IPC algorithms, consisting of single-input single-output proportional–integral controllers and two integral controllers, respectively, were incorporated into the numerical framework. A series of simulations were carried out to investigate the relative performance of the two controllers under various turbulent inflow conditions, spanning hub-height velocities of 7 to 14 m/s. The numerical simulation results of this study showed that, in comparison to the CPC, the IPC controller could successfully reduce the damage equivalent loads of utility-scale turbines at regions 2 and 3 of turbine operation by about 3% and 40%, respectively, without any penalty on the power production of the turbine. It was also shown that, despite its minor impact on the turbulence kinetic energy of the wake, the IPC controller did not influence the recovery of the turbine wake.http://www.sciencedirect.com/science/article/pii/S2352484722026415Large-eddy simulationControl co-designWind turbineCollective pitch controlIndividual pitch control |
| spellingShingle | Christian Santoni Ali Khosronejad Peter Seiler Fotis Sotiropoulos Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control Energy Reports Large-eddy simulation Control co-design Wind turbine Collective pitch control Individual pitch control |
| title | Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control |
| title_full | Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control |
| title_fullStr | Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control |
| title_full_unstemmed | Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control |
| title_short | Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control |
| title_sort | toward control co design of utility scale wind turbines collective vs individual blade pitch control |
| topic | Large-eddy simulation Control co-design Wind turbine Collective pitch control Individual pitch control |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722026415 |
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