Reloading Nuclear Reactor Fuel Using Mixed-Integer Nonlinear Optimization |
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| Authors: | Arie J Quist Kees Roos Tam#xE;s Terlaky Rene Van Geemert Eduard Hoogenboom |
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| Affiliation: | (1) Faculty of Information Technology and Systems, Delft University of Technology, Delft, The Netherlands;(2) McMaster University, Hamilton, Ontario, Canada;(3) Interfaculty Reactor Institute, Delft University of Technology, Delft, The Netherlands |
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| 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. |
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| Keywords: | nonlinear mixed-integer optimization nuclear reactor fuel management reload pattern optimization |
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