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North American construction is back—smaller and faster—at OPG’s Darlington
“The nuclear renaissance is real here,” said Ontario Power Generation’s Subo Sinnathamby on May 8, one year to the day after OPG secured a final investment decision to build the first of four planned BWRX-300 reactors at its Darlington nuclear power plant, and shortly after the new reactor’s foundation was lifted into place. “We got our license to construct in April and our [final investment decision] in May, and we’ve been off to the races since.”
Ryuji Yoshino, James K. Koga, Tatsuoki Takeda
Fusion Science and Technology | Volume 30 | Number 2 | November 1996 | Pages 237-250
Technical Paper | Special Section: Plasma Control Issues for Tokamaks / Plasma Engineering | doi.org/10.13182/FST96-A30753
Articles are hosted by Taylor and Francis Online.
A high toroidal eddy current induced in a vacuum vessel during plasma-current quench, Ip quench, results in errors in determining the vertical position of the plasma-current center, ZJ, calculated from standard linear regression sensor algorithms. These deviations result in a vertical displacement event (VDE) that must be avoided because of the expected severe damage on the first wall in tokamak fusion reactors like the International Thermonuclear Experimental Reactor (ITER). On the other hand, high ZJ calculation accuracy must be maintained at steady state to obtain reasonable plasma performance. Thus, real-time sensor algorithms for the calculation of ZJ applicable to the two cases of steady state and slow Ip quench are investigated. When a statistical method is applied to the ZJ calculation, its deviation from the actual ZJ cannot be completely reduced at the same time for both cases. On the contrary, a neural network demonstrates high accuracy in the calculation of ZJ for both cases, which enables real-time feedback control of ZJ during slow Ip quench, avoids VDE, and keeps reasonable plasma performance during steady state.