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The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
David A. Rehbein, Roger W. Carlson
Nuclear Technology | Volume 31 | Number 3 | December 1976 | Pages 348-356
Technical Paper | Fuel | doi.org/10.13182/NT76-A31671
Articles are hosted by Taylor and Francis Online.
Many thermal-hydraulic computer codes employ a fuel rod heat transfer model to couple the fuel rod temperatures with the hydraulic driving forces. Frequently, these models utilize uniform thermal conductivity for the fuel to reduce computer usage and storage. To evaluate the effect of this modeling, the uniform thermal conductivity model in COBRA III was modified to incorporate temperature-dependent thermal conductivity utilizing the complete expansion of the gradient of the heat flux, including the term that represents the gradient of the thermal conductivity. Demonstrative calculations for two transients showed that the peak fuel temperatures are very dependent upon the nonuniformity of the thermal conductivity. However, the peak cladding temperatures are almost independent of modeling of the thermal conductivity of the fuel because the clad temperatures are determined by the clad properties and the total amount of heat being transferred from the fuel to the coolant. The heat transferred is proportional to the integral of the thermal conductivity, which is virtually independent of the specific dependence of the temperature dependence of the thermal conductivity. The intermediate approach that employs the correct thermal conductivity at each point in the calculation but ignores the term in the heat conduction equation that accounts for the variation in the thermal conductivity was shown to yield results that are very similar to the uniform thermal conductivity cases. It is concluded that a uniform thermal conductivity model is adequate for models that are intended for the analysis of transients where the limiting constraint is the peak cladding temperature, such as the loss-of-coolant accident. However, models that are intended for the analysis of transients where the peak fuel temperature is limiting should employ the temperature dependence of the thermal conductivity.