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This chapter explores the applications of digital twin technology in the Brazilian energy sector and its impact on businesses and society. It highlights how digital twin applications have contributed to cost reduction, human error mitigation, operational optimization, and technical failure prediction. The chapter also discusses the implementation process and the requirements for developing these systems. Additionally, it explores the potential of leveraging Artificial Intelligence for decision-making support, utilizing Big Data processes to enhance various areas, and employing user experience (UX) techniques to streamline outdated processes. Through the examination of real projects in the wind power monitoring, transmission towers, and data-saving equipment domains, addressing the challenges faced and the benefits derived from its implementation.

Perspective Chapter: Digital Twin Applied in the Brazilian Energy Sector