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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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February 2024
Latest News
Can hydrogen be the transportation fuel in an otherwise nuclear economy?
Let’s face it: The global economy should be powered primarily by nuclear power. And it probably will by the end of this century, with a still-significant assist from renewables and hydro. Once nuclear systems are dominant, the costs come down to where gas is now; and when carbon emissions are reduced to a small portion of their present state, it will become obvious that most other sources are only good in niche settings. I mean, why use small modular reactors to load-follow when they can just produce that power instead of buffering it?
Ray S. Booth
Nuclear Technology | Volume 198 | Number 2 | May 2017 | Pages 217-227
Technical Paper | doi.org/10.1080/00295450.2017.1299494
Articles are hosted by Taylor and Francis Online.
Functionals derived from the finite Laplace transforms of time moments of experimental data are used to fit these data to exponential functions. The functionals provide linear relationships for individually determining parameter values successively. This new and unique fitting method is first derived and then applied to data containing up to four exponentials to demonstrate its capabilities. Advantages of this fitting procedure include the following. (1) Parameters of the fit can be determined from the data region where they are most important by a wide verity of methods, including conventional ones. (2) Fitting algorithms are available that are simple to program; use conventional “stripping techniques”; are quite robust; and have been tested for a wide range in the number of data points, statistical errors, data ranges, and parameter values. (3) Fitting algorithms are included that use the conventional correlation coefficient of two expressions to fit data with even or uneven time intervals. (4) Decay constants and their associated magnitudes are determined separately and independently from different functionals. (5) Each iteration of the fit requires relatively few computations, usually only selected integrals, which can be completed quite rapidly. (6) Parameter errors can be estimated by conventional techniques.