Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine
Abstract Wind turbine design encompasses many different aspects including aerodynamic, structural, electrical, and control system design. To achieve optimal plant performance, a system design approach is utilized in which the performance of the whole wind turbine is evaluated and quantified during o...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
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| Series: | Wind Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/we.2781 |
| _version_ | 1797988594471665664 |
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| author | Sepideh Kianbakht Dana Martin Kathryn Johnson Daniel Zalkind Lucy Pao Eric Loth Juliet Simpson Shulong Yao Mayank Chetan D. Todd Griffith |
| author_facet | Sepideh Kianbakht Dana Martin Kathryn Johnson Daniel Zalkind Lucy Pao Eric Loth Juliet Simpson Shulong Yao Mayank Chetan D. Todd Griffith |
| author_sort | Sepideh Kianbakht |
| collection | DOAJ |
| description | Abstract Wind turbine design encompasses many different aspects including aerodynamic, structural, electrical, and control system design. To achieve optimal plant performance, a system design approach is utilized in which the performance of the whole wind turbine is evaluated and quantified during operational scenarios with subsystem interactions. In this paper, the design for a Segmented Ultralight Morphing Rotor (SUMR) 50‐MW wind turbine is presented utilizing levelized cost of energy (LCOE) for design choices, with additional quantification of simulated performance shortcomings at the 50‐MW scale. The multi‐disciplinary design process results in a final ultra‐scale turbine configuration that outperforms other existing offshore wind farms regarding the LCOE. |
| first_indexed | 2024-04-11T08:06:35Z |
| format | Article |
| id | doaj.art-133c67458e884de79e739f297ab91599 |
| institution | Directory Open Access Journal |
| issn | 1095-4244 1099-1824 |
| language | English |
| last_indexed | 2024-04-11T08:06:35Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wind Energy |
| spelling | doaj.art-133c67458e884de79e739f297ab915992022-12-22T04:35:32ZengWileyWind Energy1095-42441099-18242022-12-0125122016203510.1002/we.2781Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbineSepideh Kianbakht0Dana Martin1Kathryn Johnson2Daniel Zalkind3Lucy Pao4Eric Loth5Juliet Simpson6Shulong Yao7Mayank Chetan8D. Todd Griffith9Electrical Engineering Colorado School of Mines Golden CO USAElectrical Engineering Colorado School of Mines Golden CO USAElectrical Engineering Colorado School of Mines Golden CO USAElectrical, Computer, and Energy Engineering University of Colorado Boulder|Renewable and Sustainable Energy Institute Boulder CO USAElectrical, Computer, and Energy Engineering University of Colorado Boulder|Renewable and Sustainable Energy Institute Boulder CO USAMechanical and Aerospace Engineering University of Virginia Charlottesville VA USAMechanical and Aerospace Engineering University of Virginia Charlottesville VA USAMechanical Engineering|UTD Center for Wind Energy University of Texas at Dallas Dallas TX USAMechanical Engineering|UTD Center for Wind Energy University of Texas at Dallas Dallas TX USAMechanical Engineering|UTD Center for Wind Energy University of Texas at Dallas Dallas TX USAAbstract Wind turbine design encompasses many different aspects including aerodynamic, structural, electrical, and control system design. To achieve optimal plant performance, a system design approach is utilized in which the performance of the whole wind turbine is evaluated and quantified during operational scenarios with subsystem interactions. In this paper, the design for a Segmented Ultralight Morphing Rotor (SUMR) 50‐MW wind turbine is presented utilizing levelized cost of energy (LCOE) for design choices, with additional quantification of simulated performance shortcomings at the 50‐MW scale. The multi‐disciplinary design process results in a final ultra‐scale turbine configuration that outperforms other existing offshore wind farms regarding the LCOE.https://doi.org/10.1002/we.2781extreme scale wind turbineLCOErotor aero‐structural‐control designSegmented Ultralight Morphing Wind Turbinewind turbine |
| spellingShingle | Sepideh Kianbakht Dana Martin Kathryn Johnson Daniel Zalkind Lucy Pao Eric Loth Juliet Simpson Shulong Yao Mayank Chetan D. Todd Griffith Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine Wind Energy extreme scale wind turbine LCOE rotor aero‐structural‐control design Segmented Ultralight Morphing Wind Turbine wind turbine |
| title | Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine |
| title_full | Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine |
| title_fullStr | Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine |
| title_full_unstemmed | Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine |
| title_short | Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine |
| title_sort | design space exploration and decision making for a segmented ultralight morphing 50 mw wind turbine |
| topic | extreme scale wind turbine LCOE rotor aero‐structural‐control design Segmented Ultralight Morphing Wind Turbine wind turbine |
| url | https://doi.org/10.1002/we.2781 |
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