The stability of a nuclear power plant

1959 ◽  
Vol 10 (3-4) ◽  
pp. 188
Author(s):  
A.S. Kochenov
Author(s):  
Afrida Fairuz ◽  
Md. Hossain Sahadath

Abstract The prevailing meteorological conditions around the site of the proposed Rooppur Nuclear Power Plant have been studied vigorously. The in-depth perusal has revealed the existence of three seasons—summer, rainy, and winter with stability classes A, B, and A, respectively, during the day and F during the night. The eventual wind speed and direction of the seasons have been observed. Subsequent locations along the dispersion directions have been identified using googleearthpro, which includes highways, educational institution, medical centers, commercial area, etc. Dose contours corresponding to a source term equivalent to Fukushima accident have been created to verify the dispersion direction and perceive the plume arrival time in the designated locations using health physics code HotSpot. Strong dependency of plume arrival time on the stability classes has been observed, and lowest values are found for F stability class. Finally, some shelter houses are proposed to accommodate endangered inhabitants during emergency.


2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan

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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