Adaptive fuzzy system for fuel rod cladding failure in nuclear power plant

2007 ◽  
Vol 34 (3) ◽  
pp. 233-240 ◽  
Author(s):  
Antonio C.F. Guimarães ◽  
Celso M.F. Lapa
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Fuzzy System ◽  
Nuclear Power ◽  
Adaptive Fuzzy ◽  
Fuel Rod ◽  
Adaptive Fuzzy System

Adaptive fuzzy system for degradation study in nuclear power plants' passive components

2006 ◽  
Vol 48 (7) ◽  
pp. 655-663 ◽  
Author(s):  
Antônio César Ferreira Guimarães ◽  
Denise Cunha Cabral ◽  
Celso Marcelo Franklin Lapa
Keyword(s):  
Fuzzy System ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Passive Components ◽  
Degradation Study ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy System

The Spent Fuel Pool Analysis of Chinshan Nuclear Power Plant by Using TRACE/FRAPCON-3.4

2013 ◽  
Vol 690-693 ◽  
pp. 2947-2950
Author(s):  
Jong Rong Wang ◽  
Hao Tzu Lin ◽  
Won Win Li ◽  
Hsiung Chih Chen ◽  
Chun Kuan Shih
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Nuclear Energy ◽  
Pool Analysis ◽  
Safety Analysis ◽  
Spent Fuel ◽  
Energy Research ◽  
Fuel Rod ◽  
Spent Fuel Pool

After Fukushima nuclear power plant (NPP) event, INER (Institute of Nuclear Energy Research, Atomic Energy Council, R.O.C.) performed the safety analysis of the failure of spent fuel pool cooling for Chinshan NPP by TRACE. In this study, by using the above TRACE results, we focused on the application of FRAPCON-3.4 in the spent fuel pool safety analysis of Chinshan NPP. FRAPCON-3.4 can calculate the temperature, pressure, and deformation of a fuel rod as functions of time-dependent fuel rod power and coolant boundary conditions. There are two steps considered in this study. The first step is the verification of the FRAPCON-3.4 by using IFA-431 experimental data. The next step is the fuel analysis of Chinshan NPP spent fuel pool by using FRAPCON-3.4 and the TRACE results.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

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