Kathryn D. Huff
University of California, Berkeley
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Featured researches published by Kathryn D. Huff.
Nuclear Technology | 2016
Charalampos Andreades; Anselmo T. Cisneros; Jae Keun Choi; Alexandre Y. K. Chong; Massimiliano Fratoni; Sea Hong; Lakshana Huddar; Kathryn D. Huff; James Kendrick; David L. Krumwiede; Michael R. Laufer; Madicken Munk; Raluca O. Scarlat; Nicolas Zweibaum; Ehud Greenspan; Xin Wang; Per F. Peterson
Abstract The University of California, Berkeley (UCB), has developed a preconceptual design for a commercial pebble-bed (PB), fluoride salt–cooled, high-temperature reactor (FHR) (PB-FHR). The baseline design for this Mark-I PB-FHR (Mk1) plant is a 236-MW(thermal) reactor. The Mk1 uses a fluoride salt coolant with solid, coated-particle pebble fuel. The Mk1 design differs from earlier FHR designs because it uses a nuclear air-Brayton combined cycle designed to produce 100 MW(electric) of base-load electricity using a modified General Electric 7FB gas turbine. For peak electricity generation, the Mk1 has the ability to boost power output up to 242 MW(electric) using natural gas co-firing. The Mk1 uses direct heating of the power conversion fluid (air) with the primary coolant salt rather than using an intermediate coolant loop. By combining results from computational neutronics, thermal hydraulics, and pebble dynamics, UCB has developed a detailed design of the annular core and other key functional features. Both an active normal shutdown cooling system and a passive, natural-circulation-driven emergency decay heat removal system are included. Computational models of the FHR—validated using experimental data from the literature and from scaled thermal-hydraulic facilities—have led to a set of design criteria and system requirements for the Mk1 to operate safely and reliably. Three-dimensional, computer-aided-design models derived from the Mk1 design criteria are presented.
Advances in Engineering Software | 2016
Kathryn D. Huff; Matthew J. Gidden; Robert W. Carlsen; Robert Flanagan; Meghan B. McGarry; Arrielle C. Opotowsky; Erich Schneider; Anthony Scopatz; Paul P. H. Wilson
Nuclear fuel cycle modeling generality and robustness are improved by a modular, agent based modeling framework.Discrete material and facility tracking rather than fleet-based modeling improve nuclear fuel cycle simulation fidelity.A free, open source paradigm encourages technical experts to contribute software to the Cyclus modeling ecosystem.The flexibility of the Cyclus tool from the simulator user perspective is demonstrated with both open and closed fuel cycle examples. As nuclear power expands, technical, economic, political, and environmental analyses of nuclear fuel cycles by simulators increase in importance. To date, however, current tools are often fleet-based rather than discrete and restrictively licensed rather than open source. Each of these choices presents a challenge to modeling fidelity, generality, efficiency, robustness, and scientific transparency. The Cyclus nuclear fuel cycle simulator framework and its modeling ecosystem incorporate modern insights from simulation science and software architecture to solve these problems so that challenges in nuclear fuel cycle analysis can be better addressed. A summary of the Cyclus fuel cycle simulator framework and its modeling ecosystem are presented. Additionally, the implementation of each is discussed in the context of motivating challenges in nuclear fuel cycle simulation. Finally, the current capabilities of Cyclus are demonstrated for both open and closed fuel cycles.
PeerJ | 2018
Arfon M. Smith; Kyle E. Niemeyer; Daniel S. Katz; Lorena A. Barba; George Githinji; Melissa Gymrek; Kathryn D. Huff; Christopher R. Madan; Abigail Cabunoc Mayes; Kevin M. Moerman; Pjotr Prins; Karthik Ram; Ariel Rokem; Tracy K. Teal; Roman Valls Guimera; Jacob T VanderPlas
This article describes the motivation, design, and progress of the Journal of Open Source Software (JOSS). JOSS is a free and open-access journal that publishes articles describing research software. It has the dual goals of improving the quality of the software submitted and providing a mechanism for research software developers to receive credit. While designed to work within the current merit system of science, JOSS addresses the dearth of rewards for key contributions to science made in the form of software. JOSS publishes articles that encapsulate scholarship contained in the software itself, and its rigorous peer review targets the software components: functionality, documentation, tests, continuous integration, and the license. A JOSS article contains an abstract describing the purpose and functionality of the software, references, and a link to the software archive. The article is the entry point of a JOSS submission, which encompasses the full set of software artifacts. Submission and review proceed in the open, on GitHub. Editors, reviewers, and authors work collaboratively and openly. Unlike other journals, JOSS does not reject articles requiring major revision; while not yet accepted, articles remain visible and under review until the authors make adequate changes (or withdraw, if unable to meet requirements). Once an article is accepted, JOSS gives it a digital object identifier (DOI), deposits its metadata in Crossref, and the article can begin collecting citations on indexers like Google Scholar and other services. Authors retain copyright of their JOSS article, releasing it under a Creative Commons Attribution 4.0 International License. In its first year, starting in May 2016, JOSS published 111 articles, with more than 40 additional articles under review. JOSS is a sponsored project of the nonprofit organization NumFOCUS and is an affiliate of the Open Source Initiative (OSI).
INTERNATIONAL CONFERENCE ON NUCLEAR DATA FOR SCIENCE AND TECHNOLOGY | 2005
D. Rochman; R. Haight; S.A. Wender; J. M. O’Donnell; A. Michaudon; Kathryn D. Huff; D. J. Vieira; E. M. Bond; R. S. Rundberg; A. Kronenberg; J. B. Wilhelmy; T. A. Bredeweg; J. M. Schwantes; T. Ethvignot; T. Granier; M. Petit; Y. Danon
The characteristics of a Lead Slowing‐Down Spectrometer (LSDS) installed at the Los Alamos Neutron Science Center (LANSCE) are presented in this paper. This instrument is designed to study neutron‐induced fission on ultra small quantities of actinides, on the order of tens of nanograms or less. The measurements of the energy‐time relation, energy resolution and neutron flux are compared to simulations performed with MCNPX. Results on neutron‐induced fission of 235U and 239Pu with tens of micrograms and tens of nanograms, respectively, are presented. Finally, a digital filter designed to improve the detection of fission events at short time after the proton pulses is described.
Advances in Engineering Software | 2017
Kathryn D. Huff
Abstract Nuclear fuel cycle and nuclear waste disposal decisions are technologically coupled. However, current nuclear fuel cycle simulators lack dynamic repository performance analysis due to the computational burden of high-fidelity hydrolgic contaminant transport models. The Cyder disposal environment and repository module was developed to fill this gap. It implements medium-fidelity hydrologic radionuclide transport models to support assessment appropriate for fuel cycle simulation in the Cyclus fuel cycle simulator. Rapid modeling of hundreds of discrete waste packages in a geologic environment is enabled within this module by a suite of four closed form models for advective, dispersive, coupled, and idealized contaminant transport: a Degradation Rate model, a Mixed Cell model, a Lumped Parameter model, and a 1-D Permeable Porous Medium model. A summary of the Cyder module, its timestepping algorithm, and the mathematical models implemented within it are presented. Additionally, parametric demonstrations simulations performed with Cyder are presented and shown to demonstrate functional agreement with parametric simulations conducted in a standalone hydrologic transport model, the Clay Generic Disposal System Model developed by the Used Fuel Disposition Campaign Department of Energy Office of Nuclear Energy.
PLOS Biology | 2014
Greg Wilson; D. A. Aruliah; C. Titus Brown; Neil Chue Hong; Matt Davis; Richard T. Guy; Steven H. D. Haddock; Kathryn D. Huff; Ian M. Mitchell; Mark D. Plumbley; Ben Waugh; Ethan P. White; Paul P. H. Wilson
Nature Physics | 2008
Marcel G. Clerc; Patricio Cordero; Jocelyn Dunstan; Kathryn D. Huff; Nicolás Mujica; Dino Risso; Germán Varas
Transactions of the american nuclear society | 2012
Anthony Scopatz; Paul K. Romano; Paul P. H. Wilson; Kathryn D. Huff
Transactions of the american nuclear society | 2014
Cameron Bates; Elliott D. Biondo; Kathryn D. Huff; Kalin Kiesling; Anthony Scopatz; Robert W. Carlsen; Andrew Davis; Matthew J. Gidden; Tim Haines; Joshua Howland; Blake Huff; Kevin Manalo; Arielle Opotowsky; R. N. Slaybaugh; Eric Relson; Paul K. Romano; Patrick Shriwise; John Xia; Paul P. H. Wilson; Julie Zachman
Transactions of the american nuclear society | 2011
Kathryn D. Huff; Paul P. H. Wilson; Matthew J. Gidden