• Title/Summary/Keyword: Korean energy policy

Search Result 1,237, Processing Time 0.021 seconds

Hydrogen Policy Trends and Current Status of Hydrogen Technology Development by Value Chain (수소 정책 동향과 밸류체인별 수소 기술 개발 현황)

  • JAE EUN SHIN
    • Journal of Hydrogen and New Energy
    • /
    • v.34 no.6
    • /
    • pp.562-574
    • /
    • 2023
  • Carbon neutrality has been suggested to overcome the global climate crisis caused by global climate change. Hydrogen energy is a major way to achieve carbon neutrality, and the developments and policies of hydrogen technology have been proposed to achieve this goal. To commercialize hydrogen energy resources, it is necessary to understand the overall value chain composed of hydrogen production, storage, and utilization and to present the direction of technological developments. In this paper the hydrogen strategies of major countries, including Europe, the United States, Japan, China, and South Korea will be analyzed, and hydrogen technologies by value chain will also be explain. This paper will contribute to understanding the overall hydrogen policy and technology, as both policy and technology are summarized.

Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center

  • Yang, Yongquan;He, Cuihua;Yin, Bo;Wei, Zhiqiang;Hong, Bowei
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.16 no.6
    • /
    • pp.1877-1891
    • /
    • 2022
  • As a part of cloud computing technology, algorithms for cloud task scheduling place an important influence on the area of cloud computing in data centers. In our earlier work, we proposed DeepEnergyJS, which was designed based on the original version of the policy gradient and reinforcement learning algorithm. We verified its effectiveness through simulation experiments. In this study, we used the Proximal Policy Optimization (PPO) algorithm to update DeepEnergyJS to DeepEnergyJSV2.0. First, we verify the convergence of the PPO algorithm on the dataset of Alibaba Cluster Data V2018. Then we contrast it with reinforcement learning algorithm in terms of convergence rate, converged value, and stability. The results indicate that PPO performed better in training and test data sets compared with reinforcement learning algorithm, as well as other general heuristic algorithms, such as First Fit, Random, and Tetris. DeepEnergyJSV2.0 achieves better energy efficiency than DeepEnergyJS by about 7.814%.

Establishment of a Fuzzy Multi-criteria Decision Making Method Framework for Selecting R&D Programs of Energy Technologies (에너지기술 R&D 프로그램 선정을 위한 퍼지 다기준의사결정 프레임워크 수립)

  • Lee, Seong-Kon;Mogi, Gento;Kim, Jong-Wook
    • Journal of Hydrogen and New Energy
    • /
    • v.20 no.1
    • /
    • pp.22-30
    • /
    • 2009
  • Energy environment has been changing rapidly such as the fluctuation of oil prices and the effect on UNFCCC. Oil price change affects Korea's economy heavily due to her poor natural resources and large dependence of consumed energy resources. Korea takes the 4th place of importing the crude oil and 9th place in $CO_2$ emissions with the 1st place of $CO_2$ emissions increasing rate. Considering the current statue of Korea including oil price change and UNFCCC, Korea will be expected to be the Annex I nation due to Korean energy environments and the quantity of $CO_2$ emission. Energy technology development is a crucial key to cope with Korea's national energy security and environments. In this study, we establish the framework, which allocates the relative weights of assessment criteria and sub-criteria, for assessing and selecting R&D programs of energy technologies strategically. We integrated fuzzy theory and analytic hierarchy process (AHP) approach since the fuzzy AHP approach reflects the vagueness of human thoughts and perception effectively as making pairwise comparisons of criteria and alternatives. The fundamental data of this research results will support R&D planning phase for policy-makers and the production of well focused R&D outcomes.

An Analysis on the Causal Relation Among SMP, Base-Load Share, LNG Import Price, and Exchange Rate (전력계통한계가격(SMP)과 기저발전비율, LNG도입가격, 환율 간 인과관계 분석)

  • Park, Min Hyug;Moon, Yang Taik;Park, Jung Gu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.28 no.7
    • /
    • pp.97-105
    • /
    • 2014
  • This article examines the causality relationship among SMP, base-load share, LNG import price, and exchange rate in Korean power market during 2002~2012, using unit root test, cointegration test, and vector error correction model(VECM). The cointegration test shows that 4 variables without unit root have been in the long-run causality. As the results of ECM, SMP is analyzed to have been unilaterally caused from LNG import price and base-load share in the shot-run, while it has been unilaterally caused from LNG import price and exchange rate in the long-run. This article has the following policy implications: the adjustment of exchange rate to reduce he risk of LNG import price and the proper securement of base-load share for the long-run stability of SMP.

Oil consumption and economic growth: A panel data analysis

  • Lim, Kyoung-Min;Lim, Seul-Ye;Yoo, Seung-Hoon
    • Journal of Energy Engineering
    • /
    • v.23 no.3
    • /
    • pp.66-71
    • /
    • 2014
  • Oil is obviously vital for economic growth and industry development. This paper attempts to explore whether or not there is a inverted-U relationship between oil consumption and economic growth. To this end, we employ a panel data analysis with fixed effect or random effect models using the set of data from 61 countries for the year 1990-2008. In conclusion, a statistically significant inverted-U relationship between per capita consumption of oil and per capita GDP is found. However, the level of per capita GDP at the peak point of per capita oil consumption is estimated to be 65,072 in 2005 international constant dollars, which is much larger than economic scales of sampled countries. Thus, as per capita GDP grows, per capita oil consumption is predicted to increase until eventually reaching the peak.

Policy Directions to Enhance Economic Feasibility of Agrivoltaics in Korea (영농형 태양광 경제성 제고를 위한 정책 방안)

  • Jong-Ik Kim;Sangmin Cho
    • New & Renewable Energy
    • /
    • v.20 no.1
    • /
    • pp.15-25
    • /
    • 2024
  • This study analyzes the economic feasibility of agrivoltaics in South Korea. The key findings are as follows. It was ascertained that an amendment to the Farmland Act, which currently has an 8-year permit period, is necessary to ensure the economic feasibility of agrivoltaic projects. Furthermore, economic feasibility improves when agrivoltaic projects are financed, as against cases without financing. Furthermore, the availability of low-interest loans through financial support programs significantly enhances economic feasibility. Scaling up projects leads to cost savings due to economies of scale, while community-based agrivoltaic initiatives generate higher revenue through the acquisition of additional Renewable Energy Certificates. These factors can help improve the economic feasibility of agrivoltaic projects. These incentives are emphasized as they can serve as a source of funding to foster community acceptance of agrivoltaic projects.

Policy implication of nuclear energy's potential for energy optimization and CO2 mitigation: A case study of Fujian, China

  • Peng, Lihong;Zhang, Yi;Li, Feng;Wang, Qian;Chen, Xiaochou;Yu, Ang
    • Nuclear Engineering and Technology
    • /
    • v.51 no.4
    • /
    • pp.1154-1162
    • /
    • 2019
  • China is undertaking an energy reform from fossil fuels to clean energy to accomplish $CO_2$ intensity (CI) reduction commitments. After hydropower, nuclear energy is potential based on breadthwise comparison with the world and analysis of government energy consumption (EC) plan. This paper establishes a CI energy policy response forecasting model based on national and provincial EC plans. This model is then applied in Fujian Province to predict its CI from 2016 to 2020. The result shows that CI declines at a range of 43%-53% compared to that in 2005 considering five conditions of economic growth in 2020. Furthermore, Fujian will achieve the national goals in advance because EC is controlled and nuclear energy ratio increased to 16.4% (the proportion of non-fossil in primary energy is 26.7%). Finally, the development of nuclear energy in China and the world are analyzed, and several policies for energy optimization and CI reduction are proposed.

The mechanism of China's green financial policy on renewable energy industry

  • Pei-gen Li;Zhuo Li
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.7
    • /
    • pp.199-207
    • /
    • 2024
  • In this paper, we propose the mechanism of China's green financial policy on renewable energy industry development implemented in different pilot zones. By utilizing the synthetic control method, this paper examines the differences in the effect of green financial policy before and after its implementation. The results demonstrate that green financial policy can significantly reduce traditional energy consumption while promote the renewable energy industry development simultaneously. Furthermore, the effects across different regions reveal that the impacts of green financial policy are pronounced in selected pilot zones, with Shanghai and Chongqing standing out the most while Gansu province performs the worst. The analysis also figure out that green financial policy stimulates the expansion of regional financing scales, resource endowment, and technological innovation as well.

The Economic Effects of Integrated-Energy Business : An Input-Output Analysis (집단에너지산업의 국민경제적 파급효과 분석)

  • Han, Kun-Taik;Kim, Hye-Min;Yoo, Seung-Hoon
    • Journal of Energy Engineering
    • /
    • v.21 no.1
    • /
    • pp.47-54
    • /
    • 2012
  • Korean government has initiated integrated-energy business (IEB) in Mokdong for energy conservation in 1983. Since then, IEB has been steadily expanding. This paper attempts to apply input-output(I-O) analysis to examine the economic effects of IEB. A static I-O framework is employed, focusing on three topics in its application: the impact of the investment of IEB on the production of other sectors and the inter-industry linkage effect; supply shortage effects of the IEB ; and the impact of the rise in IEB rate on prices of other products. The paper pays closer attention to IEB sector by taking the sector as exogenous and then investigating its economic impacts. The results can be widely utilized in decision-making about IEB policy.

Study on the Recognition Analysis of Zero Energy House and Associated Policy Suggestion (에너지제로하우스 인식분석 및 정책 추진방향 제안에 관한 연구)

  • Lee, Chung-Kook;Lee, Jeong-Cheol;Kim, Sang-Su;Suh, Seung-Jik
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
    • /
    • v.8 no.2
    • /
    • pp.16-26
    • /
    • 2012
  • The consultation with building energy experts working at domestic government-funded research institutes and enterprises on performance set, element technology, and policy for the realization of low-energy and the survey with construction workers on the relevance of climate change in building construction, government support policy, and methodologies for the construction of low-energy house were carried in the study. In addition the public element preference survey on the low-energy house and awareness research on the low-carbonization of building were carried and presented for the development of affordable low-energy house. There was a big difference in the recognition of building energy performance setting and setting for the construction cost to realize it between experts and ordinary citizens in the study. To fill this gap education and promotion of zero energy house and securing economic feasibility through the commercialization of element technology will be needed. The satisfaction in government's zero energy house policy was normally low. To improve this low satisfaction administrative and technical support are considered to be expanded. Common high cost of construction was the top priority to resolve the problem, and enhancing renewable energy grants, tax relief, and substantial cost support could be as detailed solutions.