ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Young Members Group
The Young Members Group works to encourage and enable all young professional members to be actively involved in the efforts and endeavors of the Society at all levels (Professional Divisions, ANS Governance, Local Sections, etc.) as they transition from the role of a student to the role of a professional. It sponsors non-technical workshops and meetings that provide professional development and networking opportunities for young professionals, collaborates with other Divisions and Groups in developing technical and non-technical content for topical and national meetings, encourages its members to participate in the activities of the Groups and Divisions that are closely related to their professional interests as well as in their local sections, introduces young members to the rules and governance structure of the Society, and nominates young professionals for awards and leadership opportunities available to members.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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August 2024
Nuclear Technology
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Latest News
Virginia utility considers SMRs
Dominion Energy Virginia has issued a request for proposals from leading nuclear companies to study the feasibility of putting a small modular reactor at its North Anna nuclear power plant.
While the utility says it is not a commitment to build an SMR at the site, the RFP is “an important first step in evaluating the technology and the North Anna site to support Dominion Energy customers’ future energy needs consistent with the company’s most recent Integrated Resource Plan.”
Myung-Sub Roh, Se-Woo Cheon, Soon-Heung Chang
Nuclear Technology | Volume 94 | Number 2 | May 1991 | Pages 270-278
Technical Paper | Advances in Reactor Accident Consequence Assessment / Reactor Operation | doi.org/10.13182/NT91-A34548
Articles are hosted by Taylor and Francis Online.
An artificial neural network—a data processing system with a number of simple highly interconnected processing elements in an architecture inspired by the structure of the human brain—is proposed for the prediction of thermal power in nuclear power plants (NPPs). The back-propagation network (BPN) algorithm is applied to develop models of signal processing. A number of case studies are performed with emphasis on the applicability of the network in a steady-state high power level. The studies reveal that the BPN algorithm can precisely predict the thermal power of an NPP. It also shows that the defected signals resulting from instrumentation problems, even when the signals comprising various patterns are noisy or incomplete, can be properly handled.