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Fusion Science and Technology
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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
George H. Miley, V. Varadarajan
Fusion Science and Technology | Volume 22 | Number 4 | December 1992 | Pages 425-438
Alpha-Particle Special | doi.org/10.13182/FST92-A30078
Articles are hosted by Taylor and Francis Online.
Adaptive control techniques can be applied to online gain tuning of tokamak thermokinetics. Here, a self-tuning control scheme is explored for both the plasma profile and power control. The distributed parameter system of the flux-surface-averaged one-dimensional transport equations is discretized by a nonlinear variational procedure. A finite-dimensional multiple-input/multiple-output control algorithm is derived using the linearized equations. A particular class of nonlinear three-parameter profiles is used for plasma density, temperature, and deuterium fraction profiles. Feedback gains are determined using a simplified minimum variance control law of self-tuning control. In the examples, normal multiple-output specifications for the plasma profile parameters for the density and power control are shown to be controllable by multiple-particle inputs alone.