Operational air pollution prediction and doses calculation in case of nuclear emergency at Krško Nuclear Power Plant

2014 ◽  
Vol 54 (2/3/4) ◽  
pp. 184 ◽  
Author(s):  
Primož Mlakar ◽  
Marija Zlata Božnar ◽  
Borut Breznik
Author(s):  
Naoto Kan ◽  
Jeffrey S. Irish

This chapter presents Japanese Prime Minister Naoto Kan's recollections about the week immediately following the Great East Japan earthquake. Topics discussed include the response team meeting at the Emergency Disaster Response Headquarters; the Act on Special Measures Concerning Nuclear Emergency Preparedness; the declaration of a nuclear emergency; whether the state has authority over TEPCO's Fukushima Daiichi Nuclear Power Plant; the responsibilities of the Nuclear Safety Commission and Nuclear and Industrial Safety Agency; TEPCO's inability to resolve problems on their own; the evacuation of residents with within a three-kilometer [1.9 mile] radius of the nuclear power plant; and Kan's decision to address the Japanese people a day and a half after the earthquake.


Nuclear power is giving an increasing share of power resource in China since it produces much less air pollution compared with power plant consuming fossil fuel. The power system insulation in nuclear power plant takes the risk of radiation. This chapter provides some basic research on the effect of radiation on different materials. The gamma-ray irradiation inhibiting surface charge accumulation on polyethylene is shown in this chapter. The quantity of surface charge is relative with the direction and the magnitude of voltage. Another interesting study presents the effects of atmospheric pressure on tracking failure of gamma-ray irradiated polymer insulating materials. Finally this chapter puts forward a research revealing that the Magnetic could influence the field tracking failure of gamma-ray irradiated polybutylene polymers.


Author(s):  
D. Sitnikovas ◽  
G. Denafas ◽  
R. Vaikšnorienė ◽  
A. Galinis ◽  
D. Štreimikienė ◽  
...  

Prognosis of environmental quality in Baltic states related with the closure of Ignalina Nuclear Power Plant according to two electricity production scenarios was made. (Scenario 1 - closure date of Block 1 is 2005, closure date of Block 2 is 2011; Scenario 2 - closure date of Block 1 is 2005, exploitation of Block 2 will be extended at least until 2020.) We can see that in accordance with both scenarios CO2 an SO2 emission will increase every year. Although the influence of the largest air pollution sources such as Estonian/Baltic PP, Lithuanian PP Riga CHP and others remains very significant to the situation in Baltic States, new power plants will forward the rise of total emission.


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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