A new methodology to optimize operation cycles in a BWR using heuristic techniques
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2019
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| _version_ | 1876427462952353792 |
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| author | Juan José Ortiz-Servin |
| author_facet | Juan José Ortiz-Servin |
| contents | A new methodology to optimize operation cycles in a BWR using heuristic techniques Juan José Ortiz-Servin Alejandro Castillo Francisco Talavera Ingeniería BWR optimization heuristic techniques A new system to optimize fuel assembly design, fuel reload design and control rod patterns design is shown. Fuel assembly optimization is made in two steps. In the first one, a recurrent neural network for the fuel lattice design of the bottom of the fuel assembly is used. In the second one, the top of the fuel assembly is built adding gadolinia to bottom fuel lattice. Fuel reload is optimized by another recurrent neural network whereas the control rod patterns are optimized by an ant colony method. This new system starts building a fresh fuel batch. Later, a seed fuel reload is optimized according to a Haling calculation. Afterwards an iterative process is started: firstly, control rod patterns through the cycle are optimized, once that a new fuel reload with previously optimized control rod patterns is found. If thermal limits cannot be satisfied in this iterative process after several iterations, a new seed fuel reload is designed. If cold shutdown margin cannot be fulfilled, then gadolonia concentration is increased into the fuel assembly. Finally, if energy requirements cannot be fulfilled, then the uranium enrichment of the fuel lattice of the bottom fuel assembly is increased. Results of this new system are successful: thermal limits and cold shutdown margin are fulfilled, and energy requirements are reached. 2019 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471659002 https://www.redalyc.org/journal/474/47471659002/ https://www.redalyc.org/journal/474/47471659002/html/ https://www.redalyc.org/journal/474/47471659002/47471659002.epub https://www.redalyc.org/journal/474/47471659002/movil 10.22201/icat.16656423.2019.17.3.808 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.17 |
| format | Artículo científico |
| id | redalyc_47471659002 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | A new methodology to optimize operation cycles in a BWR using heuristic techniques Juan José Ortiz-Servin Ingeniería BWR optimization heuristic techniques A new methodology to optimize operation cycles in a BWR using heuristic techniques Juan José Ortiz-Servin Alejandro Castillo Francisco Talavera Ingeniería BWR optimization heuristic techniques A new system to optimize fuel assembly design, fuel reload design and control rod patterns design is shown. Fuel assembly optimization is made in two steps. In the first one, a recurrent neural network for the fuel lattice design of the bottom of the fuel assembly is used. In the second one, the top of the fuel assembly is built adding gadolinia to bottom fuel lattice. Fuel reload is optimized by another recurrent neural network whereas the control rod patterns are optimized by an ant colony method. This new system starts building a fresh fuel batch. Later, a seed fuel reload is optimized according to a Haling calculation. Afterwards an iterative process is started: firstly, control rod patterns through the cycle are optimized, once that a new fuel reload with previously optimized control rod patterns is found. If thermal limits cannot be satisfied in this iterative process after several iterations, a new seed fuel reload is designed. If cold shutdown margin cannot be fulfilled, then gadolonia concentration is increased into the fuel assembly. Finally, if energy requirements cannot be fulfilled, then the uranium enrichment of the fuel lattice of the bottom fuel assembly is increased. Results of this new system are successful: thermal limits and cold shutdown margin are fulfilled, and energy requirements are reached. 2019 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471659002 https://www.redalyc.org/journal/474/47471659002/ https://www.redalyc.org/journal/474/47471659002/html/ https://www.redalyc.org/journal/474/47471659002/47471659002.epub https://www.redalyc.org/journal/474/47471659002/movil 10.22201/icat.16656423.2019.17.3.808 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.17 |
| title | A new methodology to optimize operation cycles in a BWR using heuristic techniques |
| topic | Ingeniería BWR optimization heuristic techniques |
| url | https://www.redalyc.org/articulo.oa?id=47471659002 https://www.redalyc.org/journal/474/47471659002/ https://www.redalyc.org/journal/474/47471659002/html/ https://www.redalyc.org/journal/474/47471659002/47471659002.epub https://www.redalyc.org/journal/474/47471659002/movil |