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Authors
Abstract(s)
Esta dissertação oferece contribuições para o campo da energia eólica,
e fornece um roteiro claro para a tomada de decisão baseada em dados,
bem como orientações práticas para otimizar a operação e manutenção.
No contexto atual da transformação digital e crescente demanda
energética surge a necessidade de soluções inovadores e sustentáveis
em larga escala, como a energia eólica offshore. A energia eólica é uma
fonte de energia renovável que tem o potencial de contribuir
significativamente para a matriz energética global. A implementação e
operação de projetos eólicos offshore são desafiadores devido aos custos
elevados e à natureza intrínseca dos riscos no ambiente marítimo, por
isso necessitam operar em sua máxima eficiência e desempenho, tendo
em vista a viabilidade económica. Este trabalho tem como objetivo a
compreensão dos fatores principais que influenciam o desempenho
energético dos aerogeradores através dos dados que revelam as
interrupções e falhas de sistemas. Os resultados obtidos nesta pesquisa
destacam a necessidade de uma abordagem integrada, buscando o
conhecimento técnico especializado com a aplicação de tecnologias de
monitoramento em tempo real e análise de dados. Ao reconhecer os
padrões de falhas e as lacunas de eficiência, os gestores podem
direcionar seus esforços para aprimorar a fiabilidade, a disponibilidade e
a performance geral dessas unidades geradoras de energia elétrica.
Através da implementação das recomendações resultantes deste estudo,
espera-se que as instituições possam alcançar uma expressiva
rentabilidade e sustentabilidade, alinhando-se de forma eficaz com as
demandas atuais, garantindo uma posição sólida no ambiente
empresarial e contribuindo para um futuro energético mais equilibrado.
This thesis offers contributions to the field of wind energy, and provides a clear roadmap for data-driven decision-making, as well as practical guidelines for optimising operation and maintenance. In the current context of digital transformation and growing energy demand, there is a need for innovative and sustainable large-scale solutions, such as offshore wind energy. Wind power is a renewable energy source that has the potential to make a significant contribution to the global energy matrix. The implementation and operation of offshore wind projects are challenging due to the high costs and intrinsic nature of the risks in the maritime environment, so they need to operate at their maximum efficiency and performance with a view to economic viability. This work aims to understand the main factors influencing the energy performance of wind turbines through data revealing system outages and failures. The results obtained in this research highlight the need for an integrated approach, seeking technical expertise with the application of real-time monitoring technologies and data analysis. By recognising failure patterns and efficiency gaps, managers can direct their efforts towards improving the reliability, availability and overall performance of these electricity generating units. By implementing the recommendations resulting from this study, it is hoped that institutions can achieve significant profitability and sustainability, effectively aligning themselves with current demands, guaranteeing a solid position in the business environment and contributing to a more balanced energy future.
This thesis offers contributions to the field of wind energy, and provides a clear roadmap for data-driven decision-making, as well as practical guidelines for optimising operation and maintenance. In the current context of digital transformation and growing energy demand, there is a need for innovative and sustainable large-scale solutions, such as offshore wind energy. Wind power is a renewable energy source that has the potential to make a significant contribution to the global energy matrix. The implementation and operation of offshore wind projects are challenging due to the high costs and intrinsic nature of the risks in the maritime environment, so they need to operate at their maximum efficiency and performance with a view to economic viability. This work aims to understand the main factors influencing the energy performance of wind turbines through data revealing system outages and failures. The results obtained in this research highlight the need for an integrated approach, seeking technical expertise with the application of real-time monitoring technologies and data analysis. By recognising failure patterns and efficiency gaps, managers can direct their efforts towards improving the reliability, availability and overall performance of these electricity generating units. By implementing the recommendations resulting from this study, it is hoped that institutions can achieve significant profitability and sustainability, effectively aligning themselves with current demands, guaranteeing a solid position in the business environment and contributing to a more balanced energy future.
Description
Keywords
renewable energy wind energy offshore wind turbine availability optimization