Code comparison of a NREL-FAST model of the Levenmouth wind turbine with the GH bladed commissioning results
Code comparison of a NREL-FAST model of the Levenmouth wind turbine with the GH bladed commissioning results
This paper describes the process adopted to set up a FAST model to produce relevant design load cases (DLCs) for the Levenmouth (Samsung Heavy Industries - S7.0-171) demonstration foreshore wind turbine owned by the Offshore Renewable Energy Catapult (ORE Catapult). The paper does not take into account hydrodynamic forces.
Existing literature has carried out FAST studies predominantly using reference turbines (e.g. NREL-5MW, DTU-10MW) instead of real prototype or commercial turbines. This paper presents the results for the Levenmouth wind turbine, a real, operating demonstration wind turbine. The paper explores and simulates the critical loads for the turbine, which will be very valuable validation case for industrial and academic use. Moreover, the Levenmouth wind turbine exhibits a new generation of extremely flexible blades that conflict with the previous approaches used by most common aero-elastic codes and makes this simulation a challenge.
The study is divided into three steps. It starts with building the model and fine-tuning it until it matches the natural frequencies of the blades and tower. The second step encompasses the comparison of the commissioning results with the relevant NREL FAST simulations to match the dynamic behaviour of the turbine. The final step comprises a load comparison for the interface between the tower and transition piece, in order to validate the new aero-elastic model with the commissioning loads.
Serret, Jordi
1afe1b31-7351-4308-8567-8c636e13dba8
Rodriguez, Carlos
3c8c0f97-f571-4c8e-93d2-d350b4586465
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Stratford, Tim
8dfb9e51-5b0c-43da-a69f-cb82175b8eb1
Thies, Philipp R.
a7959843-0b18-4a42-86fa-aca643babaf9
17 June 2018
Serret, Jordi
1afe1b31-7351-4308-8567-8c636e13dba8
Rodriguez, Carlos
3c8c0f97-f571-4c8e-93d2-d350b4586465
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Stratford, Tim
8dfb9e51-5b0c-43da-a69f-cb82175b8eb1
Thies, Philipp R.
a7959843-0b18-4a42-86fa-aca643babaf9
Serret, Jordi, Rodriguez, Carlos, Tezdogan, Tahsin, Stratford, Tim and Thies, Philipp R.
(2018)
Code comparison of a NREL-FAST model of the Levenmouth wind turbine with the GH bladed commissioning results.
In 37th International Conference on Ocean, Offshore & Arctic Engineering, Madrid, Spain, 17/06/18.
9 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper describes the process adopted to set up a FAST model to produce relevant design load cases (DLCs) for the Levenmouth (Samsung Heavy Industries - S7.0-171) demonstration foreshore wind turbine owned by the Offshore Renewable Energy Catapult (ORE Catapult). The paper does not take into account hydrodynamic forces.
Existing literature has carried out FAST studies predominantly using reference turbines (e.g. NREL-5MW, DTU-10MW) instead of real prototype or commercial turbines. This paper presents the results for the Levenmouth wind turbine, a real, operating demonstration wind turbine. The paper explores and simulates the critical loads for the turbine, which will be very valuable validation case for industrial and academic use. Moreover, the Levenmouth wind turbine exhibits a new generation of extremely flexible blades that conflict with the previous approaches used by most common aero-elastic codes and makes this simulation a challenge.
The study is divided into three steps. It starts with building the model and fine-tuning it until it matches the natural frequencies of the blades and tower. The second step encompasses the comparison of the commissioning results with the relevant NREL FAST simulations to match the dynamic behaviour of the turbine. The final step comprises a load comparison for the interface between the tower and transition piece, in order to validate the new aero-elastic model with the commissioning loads.
This record has no associated files available for download.
More information
Published date: 17 June 2018
Identifiers
Local EPrints ID: 479267
URI: http://eprints.soton.ac.uk/id/eprint/479267
PURE UUID: 3d2a0d1f-15fa-476a-9657-b0410b7ff489
Catalogue record
Date deposited: 20 Jul 2023 16:50
Last modified: 21 Jul 2023 02:01
Export record
Contributors
Author:
Jordi Serret
Author:
Carlos Rodriguez
Author:
Tahsin Tezdogan
Author:
Tim Stratford
Author:
Philipp R. Thies
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics