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Reloading Nuclear Reactor Fuel Using Mixed-Integer Nonlinear Optimization
Abstract A nodal nuclear reactor reload pattern optimization model is solved using mixed-integer nonlinear optimization techniques. Unlike currently used heuristic search methods, this method enables continuous optimization of the amount of Burnable Poisons in fresh fuel bundles in a natural way, which is shown in the first part of the article. The second part treats an algorithmic extension using dedicated cuts in a mixed-integer nonlinear optimization algorithm, which push the optimization towards solutions where local power peaks in parts of the core are avoided.
Reloading Nuclear Reactor Fuel Using Mixed-Integer Nonlinear Optimization
Abstract A nodal nuclear reactor reload pattern optimization model is solved using mixed-integer nonlinear optimization techniques. Unlike currently used heuristic search methods, this method enables continuous optimization of the amount of Burnable Poisons in fresh fuel bundles in a natural way, which is shown in the first part of the article. The second part treats an algorithmic extension using dedicated cuts in a mixed-integer nonlinear optimization algorithm, which push the optimization towards solutions where local power peaks in parts of the core are avoided.
Reloading Nuclear Reactor Fuel Using Mixed-Integer Nonlinear Optimization
Quist, Arie J. (author) / Roos, Kees (author) / Terlaky, Tam#x00E1;s (author) / Van Geemert, Rene (author) / Hoogenboom, Eduard (author)
2001
Article (Journal)
English
Reloading Nuclear Reactor Fuel Using Mixed-Integer Nonlinear Optimization
| Springer Verlag | 2001
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