Abstract
Offshore wind turbines have the potential to transform electricity production. Floating platforms have been developed to generate profitable and efficient energy in deep waters, but still face significant challenges. This work proposes the use of evolutionary computation to optimize passive structural control techniques in floating barge-type wind turbines, aiming to mitigate pendular loads. Control devices, such as Tuned Mass Dampers (TMDs), are analyzed in the FAST-SC simulator. Optimization uses the standard deviation of tower fatigue as a fitness function. The optimization seeks to improve TMD performance, limiting the stroke to the nacelle.
| Original language | Portuguese (Brazil) |
|---|---|
| Number of pages | 7 |
| State | Published - 2024 |
| Event | XXV Congresso Brasileiro de Automática - Centro de Convenções Windsor, Rio de Janeiro, Brazil Duration: 15 Oct 2024 → 18 Oct 2024 Conference number: 25 https://cba2024.vidaestudantil.com/ |
Congress
| Congress | XXV Congresso Brasileiro de Automática |
|---|---|
| Abbreviated title | CBA 2024 |
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 15/10/24 → 18/10/24 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- Offshore wind turbines
- Passive structural control
- Tuned mass damper
- Optimization
- Evolutionary computation
- Genetic algorithms
- FAST-SC simulator
Activities
- 1 External thesis jury
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OTIMIZAÇÃO DE SISTEMA DE CONTROLE TMD EM TURBINAS EÓLICAS FLUTUANTES DO TIPO BARCAÇA SOB CONDIÇÕES ADVERSAS UTILIZANDO COMPUTAÇÃO EVOLUCIONÁRIA
Lazo Lazo, J. G. (Jury)
23 Sep 2022Activity: Other activities › External thesis jury
Projects
- 1 Finished
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Construcción de modelos inteligentes para control de generadores eólicos bajo condiciones adversas
Lazo Lazo, J. G. (PI)
1/08/23 → 1/08/24
Project: Research
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