• 제목/요약/키워드: Nuclear Energy Policy

검색결과 181건 처리시간 0.024초

사회 연결망분석을 활용한 법제 네트워크 구조에 관한 연구: 원자력산업의 관계 법령정보를 중심으로 (A study on the legal structure of the nuclear law system using social network analysis)

  • 전지은;이상훈
    • 디지털융복합연구
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    • 제17권8호
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    • pp.47-60
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    • 2019
  • 본 연구의 목적은 네트워크 분석을 통하여 원자력 법제의 전체적인 법령조항 간의 구조관계를 분석하여 법적 체계의 정합성을 파악하고자 한다. 특히 원자력기술의 안전규제의 중심 법으로서의 역할을 하고 있는 "원자력안전법"의 법령 구조를 파악하여 안전관리에 있어서의 주요 규정에 대해 검토하고 원자력 안전관리 및 규제에 대한 입법적 개선방안을 제시한다. 동법의 법적체계의 구조적 문제점을 파악하여 입법 개선 방안을 제시하고 이를 통해 원자력기술 및 산업관련 정책수립 활동 과정에서 과도한 입법 활동을 줄이고, 제 개정의 필요성 시급성 여부를 결정하는 데 있어서 중요한 역할을 할 수 있을 것으로 기대한다. 본 연구는 또한 향후 타 과학기술의 정책분야에 적용하여 법률적 개선 방안을 마련하기 위한 가이드라인으로 활용될 수 있을 것으로 사료된다.

Linking nuclear energy, human development and carbon emission in BRICS region: Do external debt and financial globalization protect the environment?

  • Sadiq, Muhammad;Shinwari, Riazullah;Usman, Muhammad;Ozturk, Ilhan;Maghyereh, Aktham Issa
    • Nuclear Engineering and Technology
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    • 제54권9호
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    • pp.3299-3309
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    • 2022
  • Nuclear energy has the potential to play an influential role in energy transition efforts than is now anticipated by many countries. Realizing sustainable human development and reducing global climate crises will become more difficult without significantly increasing nuclear power. This paper aims to probe the role of nuclear energy, external debt, and financial globalization in sustaining human development and environmental conditions simultaneously in BRICS (Brazil, Russia, India, China, and South Africa) countries. This study applied a battery of second-generation estimation approaches over the period from 1990 to 2019. These methods are useful and robust to cross-countries dependencies, slope heterogeneity, parameters endogeneity, and serial correlation that are ignored in conventional approaches to generate more comprehensive and reliable estimates. The empirical findings indicate that nuclear energy and financial globalization contribute to human development, whereas external debt inhibits it. Similarly, financial globalization accelerates ecological deterioration, but nuclear energy and external debt promote environmental sustainability. Moreover, the study reveals bidirectional feedback causalities between human development, carbon emissions and nuclear energy consumption. The study offers useful policy guidance on accomplishing sustainable and inclusive development in BRICS countries.

The role of nuclear energy in the correction of environmental pollution: Evidence from Pakistan

  • Mahmood, Nasir;Danish, Danish;Wang, Zhaohua;Zhang, Bin
    • Nuclear Engineering and Technology
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    • 제52권6호
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    • pp.1327-1333
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    • 2020
  • The global warming phenomenon emerges from the issue of climate change, which attracts the attention of intellectuals towards clean energy sources from dirty energy sources. Among clean sources, nuclear energy is getting immense attention among policymakers. However, the role of nuclear energy in pollution emissions reduction has remained inconclusive and demand for further investigation. Therefore, the current study contributes to extend knowledge by investigating the nexus between nuclear energy, economic growth, and CO2 emissions in a developing country context such as Pakistan for the period between 1973 and 2017. The auto-regressive distributive lag model summarizes the nuclear energy has negative effect on environmental pollution as it releases carbon emission in the environment. Moreover, vector error correction Granger causality provides evidence for bidirectional causality between nuclear energy and carbon emissions. These interesting findings provide new insight, and policy guidelines provided based on these results.

Positive or negative? Public perceptions of nuclear energy in South Korea: Evidence from Big Data

  • Park, Eunil
    • Nuclear Engineering and Technology
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    • 제51권2호
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    • pp.626-630
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    • 2019
  • After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

델파이 활용 신재생 에너지 수요예측과 장기전원 구성의 경제성 평가 (Forecasting Renewable Energy Using Delphi Survey and the Economic Evaluation of Long-Term Generation Mix)

  • 구훈영;민대기
    • 대한산업공학회지
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    • 제39권3호
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    • pp.183-191
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    • 2013
  • We address the power generation mix problem that considers not only nuclear and fossil fuels such as oil, coal and LNG but also renewable energy technologies. Unlike nuclear or other generation technologies, the expansion plan of renewable energy is highly uncertain because of its dependency on the government policy and uncertainty associated with technology improvements. To address this issue, we conduct a delphi survey and forecast the capacity of renewable energy. We further propose a stochastic mixed integer programming model that determines an optimal capacity expansion and the amount of power generation using each generation technology. Using the proposed model, we test eight generation mix scenarios and particularly evaluate how much the expansion of renewable energy contributes to the total costs for power generation in Korea. The evaluation results show that the use of renewable energy incurs additional costs.

확률계획법을 활용한 원자력 대체비용의 분석 (Analysis on the Replacement Cost of Nuclear Energy Using a Stochastic Programming Model)

  • 정재우;민대기
    • 경영과학
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    • 제30권1호
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    • pp.139-148
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    • 2013
  • A nuclear energy has been one of the most important sources to securely supply electricity in South Korea. Its weight in the national electricity supply has kept increasing since the first nuclear reactor was built in 1978. The country relies on the nuclear approximately 31.4% in 2012 and it is expected to increase to 48.5% in 2024 based on the long-term electricity supply plan announced by the Korean government. However, Fukushima disaster due to 9.0 magnitude earthquake followed by the tsunami has raised deep concerns on the security of the nuclear power plants. The policy makers of the country are much interested in analyzing the cost structure of the power supply in the case that the nuclear is diminished from the current supply portion. This research uses a stochastic model that aims to evaluate the long-term power supply plan and provides an extensive cost analysis on the changes of the nuclear power supply. To evaluate a power supply plan, the research develops a few plausible energy mix scenarios by changing the installed capacities of energy sources from the long-term electricity supply plan. The analyses show that the nuclear is still the most attractive energy source since its fuel cost is very much stable compared to the other sources. Also the results demonstrate that a large amount of financial expenditure is additionally required every year if Koreans agree on the reduction of nuclear to increase national security against a nuclear disaster.

The effect of nuclear energy on the environment in the context of globalization: Consumption vs production-based CO2 emissions

  • Danish, Danish;Ulucak, Recep;Erdogan, Seyfettin
    • Nuclear Engineering and Technology
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    • 제54권4호
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    • pp.1312-1320
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    • 2022
  • The earlier studies have analyzed theoretical links between nuclear energy and carbon dioxide (CO2) emissions concerning territorial (or production-based) emissions. Here using the latest available dataset, this study explores the impacts of nuclear energy on production-based and consumption-based CO2 emission in the era of globalization for the Organization for Economic Co-operation and Development (OECD) countries. The Driscoll-Kraay regression method reveals that nuclear energy is beneficial for the reduction of production-based CO2 emissions. However, it is revealed that nuclear energy does not reduce consumption-based CO2 emissions that are traded internationally and hence not comprised in conventional production-based emissions (territory) inventories. Globalization tends to reduce both production-based and demand-based carbon emissions. Finally, Environmental Kuznets Curve (EKC) is validated for both kinds of CO2 emissions. The findings may deliver practical policy implications related to nuclear energy and CO2 emissions for selected countries.