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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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Growing the future nuclear energy workforce in the Volunteer State
The Volunteer State’s governor and representatives have made clear their intention to position Tennessee at the forefront of a nuclear energy growth surge over the next several years. They’re making the financial investment to back up this commitment, pledging $50 million to recruit the innovative and invest in the existing nuclear companies in the state.
In an interview with advocacy group Nuclear Matters, Gov. Bill Lee expressed his excitement and optimism for Tennessee’s nuclear future.
“Tennessee is one of the fastest growing states in the country,” he said. “Because of that, we have people and companies moving here and we need to have a dependable, reliable energy source.”
Hashem Akbari, Lawrence M. Grossman
Nuclear Technology | Volume 49 | Number 3 | August 1980 | Pages 400-409
Technical Paper | Reactor Siting | doi.org/10.13182/NT80-A17688
Articles are hosted by Taylor and Francis Online.
A methodology is developed to optimize the size and the location of power plants supplying given demand centers by minimizing the cost of transmission lines and plant capital costs subject to the physical constraint that the power plants must be located within a predetermined feasible geographical region. The optimization problem falls within a class of mixed integer nonlinear constrained programming for which no general method of solution exists. Optimization is carried out in two steps to separate considerations of integer and continuous variables. A complete set of possible configuration alternatives in terms of the number of power plants is first generated by examining the comers of a polyhedron set defined by the upper and lower bounds on the number of power plants at each location, with the demand satisfied through a predefined directed transmission network. Then, through a constrained nonlinear programming technique, the optimum location for each promising, feasible alternative is calculated. The best alternative, i.e., the one having the minimum total cost, is selected as the optimum solution.