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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.”
Albert G. Gu
Nuclear Technology | Volume 177 | Number 2 | February 2012 | Pages 157-175
Technical Paper | Fission Reactors | doi.org/10.13182/NT12-A13363
Articles are hosted by Taylor and Francis Online.
This paper introduces a combined micro and macro (CMM) parameter perturbation theory for boiling water reactor (BWR) lattice design and optimization, which involves a large number of independent design variables and a large scale of variations. With this theory, engineers are able to meet the challenges from both accuracy and speed requirements. This theory was applied to the BWR fuel assembly lattice design in AREVA. A BWR fast lattice simulator (FLS) and a BWR fuel assembly lattice optimizer (BALO) were built and assisted engineers working on the lattice design and optimization. In addition to the discussion of this theory, the BALO/FLS calculation results are used to show that this theory can meet both speed and accuracy criteria of design as well as cover the large design range. Moreover, the results also show that two major perturbation issues in BWR lattice design and optimization, i.e., the large swing of average lattice enrichment and the thermal neutron black absorber's distribution as burnable poison can be resolved with the CMM perturbation theory. Finally, it is pointed out that the macro parameter perturbation combined with the micro parameter perturbation is extremely important to the accuracy.
