Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network
Recently, severe accidents in nuclear power plants (NPPs) have become a global concern. The aim of this paper is to predict the hydrogen buildup within containment resulting from severe accidents. The prediction was based on NPPs of an optimized power reactor 1,000. The increase in the hydrogen conc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-03-01
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| Series: | Nuclear Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573315000029 |
| _version_ | 1819074582396534784 |
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| author | Dong Yeong Kim Ju Hyun Kim Kwae Hwan Yoo Man Gyun Na |
| author_facet | Dong Yeong Kim Ju Hyun Kim Kwae Hwan Yoo Man Gyun Na |
| author_sort | Dong Yeong Kim |
| collection | DOAJ |
| description | Recently, severe accidents in nuclear power plants (NPPs) have become a global concern. The aim of this paper is to predict the hydrogen buildup within containment resulting from severe accidents. The prediction was based on NPPs of an optimized power reactor 1,000. The increase in the hydrogen concentration in severe accidents is one of the major factors that threaten the integrity of the containment. A method using a fuzzy neural network (FNN) was applied to predict the hydrogen concentration in the containment. The FNN model was developed and verified based on simulation data acquired by simulating MAAP4 code for optimized power reactor 1,000. The FNN model is expected to assist operators to prevent a hydrogen explosion in severe accident situations and manage the accident properly because they are able to predict the changes in the trend of hydrogen concentration at the beginning of real accidents by using the developed FNN model. |
| first_indexed | 2024-12-21T18:11:48Z |
| format | Article |
| id | doaj.art-6d04b9c6ee4d4f4297f3d998d1094a7d |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-12-21T18:11:48Z |
| publishDate | 2015-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-6d04b9c6ee4d4f4297f3d998d1094a7d2022-12-21T18:54:47ZengElsevierNuclear Engineering and Technology1738-57332015-03-0147213914710.1016/j.net.2014.12.004Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural networkDong Yeong KimJu Hyun KimKwae Hwan YooMan Gyun NaRecently, severe accidents in nuclear power plants (NPPs) have become a global concern. The aim of this paper is to predict the hydrogen buildup within containment resulting from severe accidents. The prediction was based on NPPs of an optimized power reactor 1,000. The increase in the hydrogen concentration in severe accidents is one of the major factors that threaten the integrity of the containment. A method using a fuzzy neural network (FNN) was applied to predict the hydrogen concentration in the containment. The FNN model was developed and verified based on simulation data acquired by simulating MAAP4 code for optimized power reactor 1,000. The FNN model is expected to assist operators to prevent a hydrogen explosion in severe accident situations and manage the accident properly because they are able to predict the changes in the trend of hydrogen concentration at the beginning of real accidents by using the developed FNN model.http://www.sciencedirect.com/science/article/pii/S1738573315000029Fuzzy Inference SystemFuzzy Neural NetworkGenetic AlgorithmHydrogen ConcentrationLoss of Coolant AccidentSevere Accident |
| spellingShingle | Dong Yeong Kim Ju Hyun Kim Kwae Hwan Yoo Man Gyun Na Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network Nuclear Engineering and Technology Fuzzy Inference System Fuzzy Neural Network Genetic Algorithm Hydrogen Concentration Loss of Coolant Accident Severe Accident |
| title | Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| title_full | Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| title_fullStr | Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| title_full_unstemmed | Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| title_short | Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| title_sort | prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network |
| topic | Fuzzy Inference System Fuzzy Neural Network Genetic Algorithm Hydrogen Concentration Loss of Coolant Accident Severe Accident |
| url | http://www.sciencedirect.com/science/article/pii/S1738573315000029 |
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