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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Fusion Science and Technology
Latest News
The RAIN scale: A good intention that falls short
Radiation protection specialists agree that clear communication of radiation risks remains a vexing challenge that cannot be solved solely by finding new ways to convey technical information.
Earlier this year, an article in Nuclear News described a new radiation risk communication tool, known as the Radiation Index, or, RAIN (“Let it RAIN: A new approach to radiation communication,” NN, Jan. 2025, p. 36). The authors of the article created the RAIN scale to improve radiation risk communication to the general public who are not well-versed in important aspects of radiation exposures, including radiation dose quantities, units, and values; associated health consequences; and the benefits derived from radiation exposures.
Kyeongmin Oh, Dowan Kim, Kisung Lim, Hyunchul Ju
Fusion Science and Technology | Volume 76 | Number 4 | May 2020 | Pages 415-423
Technical Paper | doi.org/10.1080/15361055.2020.1712995
Articles are hosted by Taylor and Francis Online.
We present a three-dimensional (3-D) steam-methane-reforming (SMR) model consisting of a steam-reforming (SR) reactor, water gas shift reactor, preferential oxidation reactor, catalytic burner, heat exchangers, and balance of plant components. The mass and energy balance equations are derived considering the kinetic expressions of various SMR reactions and implemented in the commercial computational fluid dynamics software program Fluent by employing user-defined functions. The 3-D SMR model is then applied to a 10-kW SR reformer geometry and simulated for comparison with in-house experimental data. The simulation results and the experimental data show good agreement, and the model accurately captures the experimental exhaust gas compositions and the reactor outlet temperatures. The proposed 3-D simulation tool for predicting various transport and chemical processes is highly desirable from the viewpoint of design and optimization of full-scale SMR-based fuel processors.