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Area of Science:

  • Fusion Energy Research
  • Engineering
  • Digital Technologies

Background:

  • The Spherical Tokamak for Energy Production (STEP) program aims to design a prototype fusion power plant.
  • The project operates in a Volatile, Uncertain, Complex, and Ambiguous (VUCA) environment, necessitating advanced digital solutions.
  • Traditional full-scale precursor testing is not feasible for this novel technology.

Purpose of the Study:

  • To outline the pivotal role of digital tools in managing the complexity and information volume of the STEP program.
  • To detail the digital strategy centered around a comprehensive digital twin of the fusion power plant.
  • To address key challenges in managing information, enhancing digital shadow reliability, and validating performance.

Main Methods:

  • Utilizing advanced modeling and simulation techniques for design exploration and refinement.
  • Developing a digital strategy based on system architecting codes and complex workflows.
  • Building capabilities in plasma, materials, and engineering simulation, data management, and advanced control.

Main Results:

  • Digital tools facilitate informed decision-making by providing insights into design factors and uncertainties.
  • The digital twin vision aims to evolve from the current digital shadow, improving robustness.
  • Developing specific digital capabilities is crucial for managing project complexity and ensuring solution validity.

Conclusions:

  • Digital tools are essential for navigating the complexities and uncertainties of the STEP program.
  • The development of a digital twin is central to the STEP program's strategy for confidence building and design validation.
  • Advancing digital capabilities in simulation, data management, and control is key to delivering fusion energy.