Given the capital-intensive nature of the energy sector, with plants and equipment operating for decades, companies require a comprehensive digital backbone to connect assets, extend their lifespan and ensure efficiency. A digital twin provides this shared view of truth, enabling engineers to optimize designs before production and implement sustainable processes.
By leveraging physics-based energy simulation software and reduced-order modeling techniques, the executable digital twin bridges the gap between virtual designs and real-time operations.
Using limited sensor data, it predicts physical states, identifies issues and accelerates decision-making, making operations not only more efficient and sustainable but also adaptable to the dynamic demands of the energy industry.