scholarly journals Government Strategy To Improve Public Acceptance Toward Nuclear Power Plant

2018 ◽  
Vol 4 (1) ◽  
pp. 24
Author(s):  
Sovian Aritonang ◽  
Nining Parlina ◽  
Yanif Dwi Kuntjoro
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Design Research ◽  
Public Acceptance ◽  
Community Acceptance ◽  
Nuclear Power Development ◽  
The Government ◽  
Is Design

<p>This research to discuss the Government's strategy to increase public acceptance toward nuclear power development plan. The purpose of this research is to obtain recommendation for government’s strategy. It is design as descriptive qualitative one with design research. The results showed there are two strategies, namely; strategies of socialization through counseling and through online media. Based on the research, it is recommended that the government should establish a Coordination Board which is under the command of (under command) specifically in the case of nuclear power plants in Jepara.</p><p><span>Keywords: Nuclear Power Plant; Community acceptance; The government's strategy.</span></p>

scholarly journals Ghana’s Nuclear Power and Its Role in Climate Change

2021 ◽  
Author(s):  
A.M.A. Dawood ◽  
Emmanuel O. Darko ◽  
Eric T. Glover
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Atomic Energy Commission ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Source Power ◽  
Energy Mix ◽  
The Government

Abstract The Ghana Nuclear Power Agenda is a programme laid out by the Ghana Atomic Energy Commission in collaboration with the government of Ghana to guide and facilitate the installation of Ghana’s first ever nuclear power plant. The nuclear power plant is expected to generate between 1000 and 12800 MW of electricity from its very first and final installations in a span of 20 years. Ghana's Third National Communication (TNC) Report to the UNFCCC indicates 59 million metric tons of carbon dioxide (MtCO2e) emission in 2011. Between 1991 and 2011, Greenhouse gas (GHG) emissions grew by 20% as energy intensity of the economy rose alongside with a growing demand in industry, transport and households. If nothing is done to curtail GHG emission from fossil-source power plants, the looming catastrophe of the changing climate will occur faster than we imagine. On the basis of this, advocacy for nuclear power has been intensified in Ghana. Nuclear power is not only environmentally friendly (zero-to-low carbon emission), it is efficient and sustainable source of energy. It offers current and future energy needs without burdening future generations with a broken environment. Using Monte Carlo’s model, the current study estimates a cumulative increase (35%) in CO2 emission between 2016 and 2026 without nuclear power in Ghana’s energy mix. With the inclusion of nuclear power in the country’s energy mix by 2029, the model estimates CO2 emission cut by 12.5% between 2029 and 2039. Thus, given the same period of time, the rate of emission of CO2 was found to be more than twice its reduction.

scholarly journals Lessons from Chernobyl

2021 ◽  
pp. 106-118
Author(s):  
L.I. Lukina ◽  
◽  
D.V. Moiseev ◽  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Critical Infrastructure ◽  
Global Radiation ◽  
Chernobyl Nuclear Power Plant ◽  
Advisory Group ◽  
Design Features ◽  
The Government

In this paper, we analyze the causes of the accident at the Chernobyl nuclear power plant on April 26, 1986.We are 35 years away from the disaster at the Chernobyl nuclear power plant. However, its causes and consequences continue to excite the minds of scientists today, remain relevant for the participants in the work on the elimination of the consequences of the accident and for hundreds of thousands of people who lived in the territories exposed to radioactive contamination, for millions of victims of the consequences of the accident. The authors believe that the accident of 1986 at the 4th power unit occurred due to an extremely unlikely combination of circumstances. In the history of mankind, this accident went down as one of the largest man-made disasters that led to global radiation pollution. The accident was largely caused by the design features of the RBMK reactor, as well as gross violations of the regulations for its operation by personnel. The main causes of the accident considered in the Information on the Chernobyl accident and its Consequences, prepared for the IAEA by members of the Government Commission of Inquiry on the Causes of the Accident, as well as in the report of the International Advisory Group on Nuclear Safety INSAG-1 in 1986 are: the design features of the RBMK-1000 reactor and the actions of the personnel who made a number of mistakes and grossly violated the rules of operation of the reactor during the SOB tests. The main lesson learned from the accident and its consequences, the elimination of which continues to this day, is the need for careful attention of the safe use of scientific and technological progress in such critical infrastructure facilities as nuclear power plants.

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.

Human reliability in non-destructive inspections of nuclear power plant components: modeling and analysis

2019 ◽  
Vol 7 (2B) ◽  
Author(s):  
Vanderley Vasconcelos ◽  
Wellington Antonio Soares ◽  
Raissa Oliveira Marques ◽  
Silvério Ferreira Silva Jr ◽  
Amanda Laureano Raso
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Human Factors ◽  
Nuclear Power ◽  
Power Plants ◽  
Failure Modes ◽  
Cooling System ◽  
Human Reliability ◽  
Non Destructive ◽  
Plant Components

Non-destructive inspection (NDI) is one of the key elements in ensuring quality of engineering systems and their safe use. This inspection is a very complex task, during which the inspectors have to rely on their sensory, perceptual, cognitive, and motor skills. It requires high vigilance once it is often carried out on large components, over a long period of time, and in hostile environments and restriction of workplace. A successful NDI requires careful planning, choice of appropriate NDI methods and inspection procedures, as well as qualified and trained inspection personnel. A failure of NDI to detect critical defects in safety-related components of nuclear power plants, for instance, may lead to catastrophic consequences for workers, public and environment. Therefore, ensuring that NDI is reliable and capable of detecting all critical defects is of utmost importance. Despite increased use of automation in NDI, human inspectors, and thus human factors, still play an important role in NDI reliability. Human reliability is the probability of humans conducting specific tasks with satisfactory performance. Many techniques are suitable for modeling and analyzing human reliability in NDI of nuclear power plant components, such as FMEA (Failure Modes and Effects Analysis) and THERP (Technique for Human Error Rate Prediction). An example by using qualitative and quantitative assessesments with these two techniques to improve typical NDI of pipe segments of a core cooling system of a nuclear power plant, through acting on human factors issues, is presented.

scholarly journals Python TensorFlow Big Data Analysis for the Security of Korean Nuclear Power Plants

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1467
Author(s):  
Sangdo Lee ◽  
Jun-Ho Huh ◽  
Yonghoon Kim
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Network Traffic ◽  
Nuclear Power ◽  
Power Plants ◽  
Security Requirements ◽  
Republic Of Korea ◽  
Continuous Data ◽  
Cyber Attack ◽  
The Republic

The Republic of Korea also suffered direct and indirect damages from the Fukushima nuclear accident in Japan and realized the significance of security due to the cyber-threat to the Republic of Korea Hydro and Nuclear Power Co., Ltd. With such matters in mind, this study sought to suggest a measure for improving security in the nuclear power plant. Based on overseas cyber-attack cases and attacking scenario on the control facility of the nuclear power plant, the study designed and proposed a nuclear power plant control network traffic analysis system that satisfies the security requirements and in-depth defense strategy. To enhance the security of the nuclear power plant, the study collected data such as internet provided to the control facilities, network traffic of intranet, and security equipment events and compared and verified them with machine learning analysis. After measuring the accuracy and time, the study proposed the most suitable analysis algorithm for the power plant in order to realize power plant security that facilitates real-time detection and response in the event of a cyber-attack. In this paper, we learned how to apply data for multiple servers and apply various security information as data in the security application using logs, and match with regard to application of character data such as file names. We improved by applying gender, and we converted to continuous data by resetting based on the risk of non-continuous data, and two optimization algorithms were applied to solve the problem of overfitting. Therefore, we think that there will be a contribution in the connection experiment of the data decision part and the optimization algorithm to learn the security data.

Distrust in government and its relationship with mental health after the Fukushima nuclear power plant accident

2020 ◽  
pp. 002076402096812
Author(s):  
Maiko Fukasawa ◽  
Norito Kawakami ◽  
Maki Umeda ◽  
Tsuyoshi Akiyama ◽  
Naoko Horikoshi ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Residential Area ◽  
National Government ◽  
Nuclear Power Plant Accident ◽  
Fukushima Prefecture ◽  
The Government

Background: Distrust in authorities has negative effects on mental health. Aims: In this study, we aimed to explore whether the impact of distrust in government on mental health became stronger in the area heavily affected by the 2011 Fukushima nuclear power plant accident. Methods: We examined the effects of distrust in the national government on depressive symptoms three years after the accident among community residents in Fukushima prefecture using those in the Kanto area (the area surrounding Tokyo) as a control. A questionnaire survey was administered to a random sample of 1000 residents in Fukushima prefecture and 1650 residents in the Kanto area. Distrust in the national government was assessed using a four-point single-item scale. Depressive symptoms were measured using the Patient Health Questionnaire-9. The associations of residential area (i.e. living in Fukushima prefecture or in the Kanto area) and distrust in the national government with depressive symptoms were examined, controlling for socio-demographic characteristics and disaster-related experiences using multivariate linear regression analyses. We used the interaction term of residential area and distrust in the government to explore the difference in the association between the respondents in Fukushima prefecture and those in the Kanto area. Results: Valid responses were obtained from 976 (36.8%) residents. Distrust in the government was associated with depressive symptoms and the association was stronger in Fukushima prefecture than in the Kanto area. Conclusion: The deleterious effects of distrust in the government on mental health may become more serious after a nuclear power plant accident and require careful attention during support activities in an affected area.

scholarly journals The institutional structure for decommissioning Fukushima Daiichi nuclear power plant

2021 ◽  
pp. 014664532110153
Author(s):  
Hajimu Yamana
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Institutional Structure ◽  
Legal Responsibility ◽  
Radiological Protection ◽  
Ministry Of Education ◽  
Sports Science ◽  
Fukushima Daiichi ◽  
The Government

This paper does not necessarily reflect the views of the International Commission on Radiological Protection. This article describes the institutional structure established for decommissioning Fukushima Daiichi nuclear power plant. To deal with the aftermath of the unprecedented nuclear accident in Fukushima, several responsible institutions such as Ministry of Economy, Trade and Industry (METI), Ministry of Education, Culture, Sports, Science and Technology (MEXT) have worked together at the initiative of the Government of Japan. In this structure, Tokyo Electric Power Company Holdings (TEPCO) implements the decommissioning due to its legal responsibility, while the essential direction and milestones are set by the Nuclear Emergency Response Headquarters of the Government of Japan. Nuclear Damage Compensation and Decommissioning Facilitation Corporation, a government-affiliated organisation, oversees and facilitates the decommissioning by TEPCO, and the Nuclear Regulatory Authority regulates safety from an independent standpoint. The main basic elements essential for the success of this long-term project have been developed, such as the technical strategy, financial system, and organisational capability. Decommissioning is making progress.

Transition to Online Cable Insulation Condition Monitoring

2021 ◽  
Author(s):  
S. W. Glass ◽  
Leonard S. Fifield ◽  
Mychal P. Spencer
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Management Program ◽  
Capacitance Measurement ◽  
Test Bed ◽  
Test Environment ◽  
Specific Test ◽  
Motor Test

Abstract Nuclear power plant cables were originally qualified for 40 year life and generally have not required specific test verification to assure service availability through the initial plant qualification period. However, license renewals to 60 and 80 years of operation require a cable aging management program that depends on some form of test and verification to assure fitness for service. Environmental stress (temperature, radiation, chemicals, water, and mechanical) varies dramatically within a nuclear power plant and, in some cases, cables have degraded and required repair or replacement before their qualified end-of-life period. In other cases, cable conditions have been mild and dependable cable performance confirmed to extend well beyond the initial qualified life. Most offline performance-based testing requires cables to be decoupled and de-energized for specially trained technicians to perform testing. These offline tests constitute an expensive operational burden that limits the economic viability of nuclear power plants. Although initial investment may be higher, new online test practices are emerging as options or complements to offline testing that avoid or minimize the regularly scheduled offline test burden. These online methods include electrical and fiber-optic partial discharge measurement, spread spectrum time or frequency domain reflectometry, distributed temperature profile measurements, and local interdigital capacitance measurement of insulation characteristics. Introduction of these methods must be supported by research to confirm efficacy plus either publicly financed or market driven investment to support the start-up expense of cost-effective instrumentation to monitor cable condition and assure reliable operation. This work summarizes various online cable assessment technologies plus introduces a new cable motor test bed to assess some of these technologies in a controlled test environment.

Research on Earthquake Acceleration Alarm of Nuclear Power Plant

2021 ◽  
Author(s):  
Li Liang ◽  
Pan Rong ◽  
Ren Guopeng ◽  
Zhu Xiuyun
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
False Alarm ◽  
Ground Motion ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Time History ◽  
Seismic Acceleration ◽  
Trigger Signal

Abstract Almost all nuclear power plants in the world are equipped with seismic instrument system, especially the third generation nuclear power plants in China. When the ground motion measured by four time history accelerometers of containment foundation exceeds the preset threshold, the automatic shutdown trigger signal will be generated. However, from the seismic acceleration characteristics, isolated and prominent single high frequency will be generated the acceleration peak, which has no decisive effect on the seismic response, may cause false alarm, which has a certain impact on the smooth operation of nuclear power plant. According to the principle of three elements of ground motion, this paper puts forward a method that first selects the filtering frequency band which accords with the structural characteristics of nuclear power plants, then synthesizes the three axial acceleration time history, and finally selects the appropriate acceleration peak value for threshold alarm. The results show that the seismic acceleration results obtained by this method can well represent the actual magnitude of acceleration, and can solve the problem of false alarm due to the randomness of single seismic wave, and can be used for automatic reactor shutdown trigger signal of seismic acceleration.

A Quantitative Approach for Reliability Evaluation of Safety I&C Systems in Nuclear Power Plants

2017 ◽  
Author(s):  
Liu Dongxu ◽  
Xu Dongling ◽  
Zhang Shuhui ◽  
Hu Xiaoying
Keyword(s):  
Probability Theory ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Boolean Algebra ◽  
Nuclear Power ◽  
Power Plants ◽  
Block Diagram ◽  
Reliability Assessment ◽  
Simple Approach ◽  
Assessment Approach

The probability that the safety I&C system fails to actuate or advertently actuates RT or ESF functions, in part, essentially determines whether a nuclear power plant could operate safely and efficiently. Since more conservative assumptions and simplifications are introduced during the analysis, this paper achieves solid results by performing the modeling and calculation based on a relatively simple approach, the reliability block diagram (RBD) method. A typical safety I&C platform structure is involved in the model presented in this paper. From the perspective of conservation and simplicity, some assumptions are adopted in this paper. A group of formulas is derived in this paper based on Boolean algebra, probability theory, basic reliability concepts and equations, to facilitate the calculations of probabilities that the safety I&C system fails to actuate or advertently actuates RT or ESF functions. All the inputs of the analysis and calculation in this paper, which includes the I&C platform structure, the constitution of the hardware modules, and reliability data, are referenced to the nuclear power plant universal database where applicable. Although the conclusion drawn in the paper doesn’t apply to the I&C platform assessment for a specific plant, the method of modeling and process of analysis provides an illustration of an alternative quantitative reliability assessment approach for a typical safety I&C system installed in the nuclear power plant.

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