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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.”
A. Busigin, S.K. Sood
Fusion Science and Technology | Volume 28 | Number 3 | October 1995 | Pages 544-549
Tritium Processing | Proceedings of the Fifth Topical Meeting on Tritium Technology in Fission, Fusion, and Isotopic Applications Belgirate, Italy May 28-June 3, 1995 | doi.org/10.13182/FST95-A30459
Articles are hosted by Taylor and Francis Online.
Steady state and dynamic simulation studies of the ITER Hydrogen Isotope Separation System (ISS) are presented. Ontario Hydro's FLOSHEET code has been used as the reference code for design studies of the ISS. Dynamic simulations were also carried out using Ontario Hydro's new DYNSIM code. Both codes have been verified against experimental and operating data from operating distillation systems. The DYNSIM code was used to model closed-loop control of the ISS under start-up conditions. The ITER ISS is expected to almost always operate under non-steady-state conditions. Start-up is of particular interest because it defines an upper bound of time to steady state for the system. Normal operation involves feed and product flow adjustments, which are much shorter term perturbations to the system. The simulated control scheme for ITER is similar to Princeton University's TFTR Tritium Purification System (TPS), which has recently been successfully commissioned. For the ITER ISS, dynamic simulation is important because it allows study of product quality control schemes and control system design. It also allows accurate assessment of tritium inventory variation in different operating modes. The cryogenic distillation model in the new DYNSIM code is described here in detail, including the underlying theory and numerical simulation approach. The discussion also addresses the suitability of different ISS design tools in terms of the design process, as well as HETP versus mass transfer modelling approaches.