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RIC panel discusses pathway to fusion commercialization
Fusion leaders at the Nuclear Regulatory Commission’s annual Regulatory Information Conference discussed the path forward for regulating the burgeoning fusion industry. The speakers discussed government and private industry initiatives in the United States and United Kingdom, with a focus on efforts shaping the near-term deployment of commercial fusion machines.
A recurring theme was the need to explain the difference between fission and fusion. Representatives from the Department of Energy and Type One Energy highlighted this as an important distinction for regulators, as it will allow fusion to undergo its own independent maturation process for developing standards and regulations in the same way that fission has. Lea Perlas, Fusion Program director at the Virginia Department of Health, said that confusion between fission and fusion has been a common cause for misplaced concerns among community members surrounding Commonwealth Fusion Systems’ proposed fusion plant site near Richmond, Va.
Chaung Lin, Yih-Jiunn Lin
Nuclear Science and Engineering | Volume 118 | Number 4 | December 1994 | Pages 260-267
Technical Notes | doi.org/10.13182/NSE94-A21496
Articles are hosted by Taylor and Francis Online.
A direct control method is developed to control the spatial xenon oscillations in pressurized water reactors. The xenon and iodine concentration difference between the top and bottom halves of the core is estimated by using the extended Kalman filter (EKF), which is a closed-loop estimation method. The measurement equation used in the observer is the axial offset measurement equation, which reflects the xenon unbalanced effect on the axial offset. Meanwhile, some of the coefficients of the observer are estimated on-line to reduce estimation error resulting from model error, i.e., simplified xenon and iodine dynamics. Therefore, the estimation can be guaranteed to be accurate, and the success of the estimation does not greatly depend on the accuracy of the observer model. The predicted one-step ahead xenon concentration, by using the EKF, was used to calculate the possible axial offset variation, and then the control rod motion was calculated to compensate for it. The simulation results show that the proposed method successfully controls the xenon oscillations.