Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm
In this work, an optimized thermodynamic modelforthe secondary coolant loop of a VVER-1200 reactor-based nuclear power plant isdeveloped. The values of some of the thermo-physical parameters such as coolant flow rate, coolant inlet and outlet temperatures from the steam generator and the turbines, e...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016822001478 |
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| author | Abid Hossain Khan Shakhawat Hossain Mehedi Hasan Md. Shafiqul Islam Md. Mizanur Rahman Jin-Hyuk Kim |
| author_facet | Abid Hossain Khan Shakhawat Hossain Mehedi Hasan Md. Shafiqul Islam Md. Mizanur Rahman Jin-Hyuk Kim |
| author_sort | Abid Hossain Khan |
| collection | DOAJ |
| description | In this work, an optimized thermodynamic modelforthe secondary coolant loop of a VVER-1200 reactor-based nuclear power plant isdeveloped. The values of some of the thermo-physical parameters such as coolant flow rate, coolant inlet and outlet temperatures from the steam generator and the turbines, etc. are obtained from the available literature. On the other hand, the unknown plant parameters such as feedwater heater pressures are predicted using a Genetic Algorithm-based optimization process. Three crossover rates, 0.5, 0.7 and 0.9, and three mutation rates, 0.01, 0.05 and 0.1, are considered. Results reveal that the value of the optimization process of the thermodynamic model is not significantly affected by the change in the crossover rate or mutation rate. The optimized model is compared with two theoretical models, a model available in the literature and experimental data. Results reveal that the predicted values of the optimized model are more accurate compared to the other available options. The optimized model also predicts that the maximum overall efficiency and the maximum output power of a plant situated in tropical region should be around 35.87% and 1152.16MWe respectively for 28 °C tertiary coolant temperature, down by 3.94% from the rated values in cold weather. However, the power output at 35 °C tertiary coolant temperature is calculated to be 1117.88 MWe, almost 6.69% lower than the rated value for VVER-1200. Thus, the efficiency of the plant is highly sensitive to the weather variation of a region. |
| first_indexed | 2024-04-11T19:19:49Z |
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| id | doaj.art-5ce2c055f12c423892c165e684ece3b4 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-04-11T19:19:49Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-5ce2c055f12c423892c165e684ece3b42022-12-22T04:07:20ZengElsevierAlexandria Engineering Journal1110-01682022-11-01611191299148Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithmAbid Hossain Khan0Shakhawat Hossain1Mehedi Hasan2Md. Shafiqul Islam3Md. Mizanur Rahman4Jin-Hyuk Kim5Institute of Nuclear Power Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, BangladeshDepartment of Industrial and Production Engineering, Jashore University of Science and Technology, Jessore 7408, Bangladesh; Corresponding authors at: Carbon Neutral Technology R&D Department, Korea Institute of Industrial Technology, Cheonan 31056, Republic of Korea (J.-H. Kimf).Chemistry Division, Atomic Energy Center, Bangladesh Atomic Energy Commission, GPO Box No. 164, Dhaka 1000, BangladeshDepartment of Nuclear Engineering, University of Dhaka, Dhaka 1000, BangladeshInstitute of Energy Science, Atomic Energy Research Establishment, Ganakbari, Savar, GPO Box No. 3787, Dhaka 1000, BangladeshCarbon Neutral Technology R&D Department, Korea Institute of Industrial Technology, Cheonan 31056, Republic of Korea; Convergence Manufacturing System Engineering, University of Science & Techmology, Daejeon 34113,Republic of Korea; Corresponding authors at: Carbon Neutral Technology R&D Department, Korea Institute of Industrial Technology, Cheonan 31056, Republic of Korea (J.-H. Kimf).In this work, an optimized thermodynamic modelforthe secondary coolant loop of a VVER-1200 reactor-based nuclear power plant isdeveloped. The values of some of the thermo-physical parameters such as coolant flow rate, coolant inlet and outlet temperatures from the steam generator and the turbines, etc. are obtained from the available literature. On the other hand, the unknown plant parameters such as feedwater heater pressures are predicted using a Genetic Algorithm-based optimization process. Three crossover rates, 0.5, 0.7 and 0.9, and three mutation rates, 0.01, 0.05 and 0.1, are considered. Results reveal that the value of the optimization process of the thermodynamic model is not significantly affected by the change in the crossover rate or mutation rate. The optimized model is compared with two theoretical models, a model available in the literature and experimental data. Results reveal that the predicted values of the optimized model are more accurate compared to the other available options. The optimized model also predicts that the maximum overall efficiency and the maximum output power of a plant situated in tropical region should be around 35.87% and 1152.16MWe respectively for 28 °C tertiary coolant temperature, down by 3.94% from the rated values in cold weather. However, the power output at 35 °C tertiary coolant temperature is calculated to be 1117.88 MWe, almost 6.69% lower than the rated value for VVER-1200. Thus, the efficiency of the plant is highly sensitive to the weather variation of a region.http://www.sciencedirect.com/science/article/pii/S1110016822001478Genetic algorithmNuclear power plantOptimizationThermodynamic modelVVER-1200 |
| spellingShingle | Abid Hossain Khan Shakhawat Hossain Mehedi Hasan Md. Shafiqul Islam Md. Mizanur Rahman Jin-Hyuk Kim Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm Alexandria Engineering Journal Genetic algorithm Nuclear power plant Optimization Thermodynamic model VVER-1200 |
| title | Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm |
| title_full | Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm |
| title_fullStr | Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm |
| title_full_unstemmed | Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm |
| title_short | Development of an optimized thermodynamic model for VVER-1200 reactor-based nuclear power plants using genetic algorithm |
| title_sort | development of an optimized thermodynamic model for vver 1200 reactor based nuclear power plants using genetic algorithm |
| topic | Genetic algorithm Nuclear power plant Optimization Thermodynamic model VVER-1200 |
| url | http://www.sciencedirect.com/science/article/pii/S1110016822001478 |
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