Inteligência Artificial, Robótica e o Desenvolvimento da Energia Eólica Offshore

Autores

Matheus Noronha
Brazilian Wind Energy Association (ABEEólica)
https://orcid.org/0000-0003-4640-6690
Matheus de Paula
Universidade Federal do Paraná (UFPR), Paraná
https://orcid.org/0000-0003-3354-500X
Uiara Garcia Valente
RWTH Aachen University
https://orcid.org/0009-0002-2732-8762

Palavras-chave:

Inteligência Artificial (IA), Manutenção Preditiva, Redes Inteligentes, Inovação Sustentável, Energia Eólica Offshore

Sinopse

Este livro investiga a convergência entre inteligência artificial, robótica e inovação tecnológica no contexto do desenvolvimento da energia eólica offshore. Ao longo de dezesseis capítulos elaborados por especialistas em engenharia, ciência de dados, sustentabilidade e transformação digital, a obra oferece uma visão multidisciplinar sobre como sistemas inteligentes podem aprimorar o monitoramento ambiental, a manutenção preditiva, as redes inteligentes, a otimização de infraestrutura e a eficiência energética.

Os temas abordam aplicações de IA na previsão de ventos, robótica subaquática, gêmeos digitais, redes neurais, impressão 3D e fluidodinâmica computacional, além do papel dos mercados de carbono e dos data centers no ecossistema de energia limpa. Este volume integra a série Tech4ODS e contribui para o debate global sobre inovação sustentável em consonância com os Objetivos de Desenvolvimento Sustentável (ODS) da ONU.

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Biografia do Autor

Matheus Noronha , Brazilian Wind Energy Association (ABEEólica)

Postdoctoral Scientist in Strategy, Innovation and New Technologies at Escola Superior de Propaganda e Marketing (ESPM SP 2023-2024). PhD in Strategy and Innovation at the Escola Superior de Propaganda Marketing (ESPM SP - 2019 - 2022) - CAPES Scholarship. Master in Business Administration from the Consumer Behavior Program at ESPM (2019). He developed research in the area of ​​energy efficiency and consumption of certified products as a masters research. Currently, in his doctorate, he conducts research on the accelerating ecosystem and the development of international skills of companies in the initial phase. Works in the field of market intelligence at the Brazilian Wind Energy Association (ABEEólica) (2014- Current)

Matheus de Paula, Universidade Federal do Paraná (UFPR), Paraná

Energy Engineer from the State University of São Paulo (UNESP) and Regulatory Affairs Analyst at Casa dos Ventos Energias Renováveis. He was a researcher for scientific initiation by FAPESP (São Paulo Research Foundation) research grant (scholarship: #2018/05341-4). Was a member of the VISER (Visualization, Image and Smart Energy Research Group). He worked as a volunteer member in Fontes Jr. with the position of Financial Planning Advisor and Finance Intern at Logicalis Brasil. He has participated as a Young Apprentice at Asea Brown Boveri (ABB) from 2014 to 2016, where he has assisted the electrical maintenance sector in general. He also holds a technical education degree in Mechatronics technical course at Eniac University Center and Maintenance Electrician Industrial Learning Course (CAI, SENAI, Brazil). Author at Data ML. His main fields of study include Visualization, Machine Learning, Data Science, Renewable Energies, Energy Regulatory Affairs and Engineering Processes.

Uiara Garcia Valente , RWTH Aachen University

Production Engineer, PMP Certified, and MBA graduate with a dynamic career spanning various roles in the Energy industry. Uiara has a strong foundation in Market & Business Intelligence and Operations Management from positions within multinational companies, primarily in the Brazilian oil, natural gas, and energy industry - Petrobras. She has embraced opportunities in Brazil, Australia, and Germany, broadening her global perspective.

Currently, she is pursuing a Master’s degree in Data Analytics and Decision Science at RWTH Aachen University, Germany, as an Excellence Scholarship holder. She is finalising her thesis titled ‘Global Offshore Wind Energy Growth and the Role of Artificial Intelligence’ in collaboration with EnBW Energie, Germany.

Referências

Pussaignolli de Paula, M., Noronha, M., Garcia Valente, U., Inacio Domingues, B. R., & Jahn Souza , L. (2024). Mapping of Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy . Journal of Sustainable Competitive Intelligence, 15(00), e0474. https://doi.org/10.24883/eagleSustainable.v15i.474

Publicado

maio 10, 2025
COMO CITAR

Licença

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.

Detalhes sobre o formato disponível para publicação: PDF

PDF

ISBN-13 (15)

978-65-987295-7-8

Date of first publication (11)

2025