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Remembering ANS member Gil Brown
Brown
The nuclear community is mourning the loss of Gilbert Brown, who passed away on July 11 at the age of 77 following a battle with cancer.
Brown, an American Nuclear Society Fellow and an ANS member for nearly 50 years, joined the faculty at Lowell Technological Institute—now the University of Massachusetts–Lowell—in 1973 and remained there for the rest of his career. He eventually became director of the UMass Lowell nuclear engineering program. After his retirement, he remained an emeritus professor at the university.
Sukesh Aghara, chair of the Nuclear Engineering Department Heads Organization, noted in an email to NEDHO members and others that “Gil was a relentless advocate for nuclear energy and a deeply respected member of our professional community. He was also a kind and generous friend—and one of the reasons I ended up at UMass Lowell. He served the university with great dedication. . . . Within NEDHO, Gil was a steady presence and served for many years as our treasurer. His contributions to nuclear engineering education and to this community will be dearly missed.”
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.