• Title/Summary/Keyword: Energy Innovation System

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혁신확산이론을 기반으로 한 농촌 주민들의 태양광 에너지 수용성 연구

  • An, Ju-Hyeong;Jeong, Seo-Yong
    • Bulletin of the Korea Photovoltaic Society
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    • v.4 no.2
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    • pp.54-61
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    • 2018
  • The purpose of this study is to analyze the acceptance of solar photovoltaic energy use based on the Diffusion of Innovations Theory. The study looks at a total of 27 rural residents - among them 15 who accepted solar photovoltaic energy through a support system and 12 who accepted solar photovoltaic energy through government support of the village. Paper-based interviews were also conducted to gather additional information. The findings of the study indicated that relative advantages and observability are huge factors in a rural resident's decision to accept solar photovoltaic energy. In order to revitalize innovation in the use of solar photovoltaic energy, This study suggests that we must utilize relative advantages and reinforce trialable observations.

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Analysis of Online Learning Satisfaction and Its Effect on Learners' Core Competencies in the Digital Innovation Sharing University

  • Lee, Hyun-Kyung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.267-274
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    • 2022
  • The purpose of this study is to investigate the learning satisfaction and perception of the students who have taken the online classes of the Digital Innovation Sharing University in the field of new energy industry, and to analyze the relationship between the learning satisfaction and core competencies. In order to achieve this purpose, the results of the learning satisfaction survey of a total of 470 students who took the digital innovation sharing university classes in the new energy industry were analyzed in both quantitative and qualitative methods. As a result of quantitative analysis, students' learning satisfaction was generally above average, and they were particularly satisfied with the setting and operation of educational goals. In addition, it was found that students' learning satisfaction had a statistically significant effect on students' core competencies. As a result of the qualitative analysis, it was possible to confirm the direction of improvement of the curriculum in the areas of function, operation, and content. Based on the results of this study, it is expected that the digital innovation sharing university curriculum quality management feedback system will be prepared in the future, and it will be the foundation for the continuous establishment of the curriculum quality management system.

A Robust Energy Consumption Forecasting Model using ResNet-LSTM with Huber Loss

  • Albelwi, Saleh
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.301-307
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    • 2022
  • Energy consumption has grown alongside dramatic population increases. Statistics show that buildings in particular utilize a significant amount of energy, worldwide. Because of this, building energy prediction is crucial to best optimize utilities' energy plans and also create a predictive model for consumers. To improve energy prediction performance, this paper proposes a ResNet-LSTM model that combines residual networks (ResNets) and long short-term memory (LSTM) for energy consumption prediction. ResNets are utilized to extract complex and rich features, while LSTM has the ability to learn temporal correlation; the dense layer is used as a regression to forecast energy consumption. To make our model more robust, we employed Huber loss during the optimization process. Huber loss obtains high efficiency by handling minor errors quadratically. It also takes the absolute error for large errors to increase robustness. This makes our model less sensitive to outlier data. Our proposed system was trained on historical data to forecast energy consumption for different time series. To evaluate our proposed model, we compared our model's performance with several popular machine learning and deep learning methods such as linear regression, neural networks, decision tree, and convolutional neural networks, etc. The results show that our proposed model predicted energy consumption most accurately.

출연(연)의 신기술개발 동향분석 연구

  • 이병민
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.05a
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    • pp.413-425
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    • 2003
  • Information Technology is the kernel technology deciding the industrial standard of one nation, and biotechnology will be the main technology of next generation. Based on this fact, a lot of efforts were made to industrialize them. Nano Technology is beginning to position itself as the kernel fusion technology, and its usage and popularity is expanding. Environmental and Energy Technology is a must-have strategic technology considering the increase demand of new energy development, the international environment correspondence, the environment-friendly production, and so forth. Space Technology is the field, which will contribute to raise the domestic component and system technology to the next level. In 2001, new technology research development costs total of 1 trillion 32 billion won in the following fields; 437.82 billion won in IT, 88.457 billion won in BT, 46.799 billion won in NT, 315.682 billion won in ET, and 112 billion won in ST. from component ratio, IT forms 42% which is the most, 31% for ET and in order of BT, ST and NT. ETRI and KISTI are concentrating on IT, KIBB is on BT, KAERI, KIER, KERI and KBSI are focusing on ET, and KIMM, KRISS, KRICT and KORDI is participating together in 4∼5 new technology such as IT, BT, NT and ET. Funds for research development costs in 5 new technology fields of 13 contribution (year) are consisted as follows; The Office for Government Policy Coordination has contributed 131 billion won (13%), 387 billion won (37%) by MOST, 256 billion won (25%) by Ministry of Information and Communication, 67 billion won (6%) by Ministry of Commerce, Industry and Energy, 19% by others and the industrial world. < Strategy for Technology Advancing > o Promotion of comprehensive contributing (year) new technology development research plan project o Increase research efficiency by promoting new technology development project connected with peculiar projects of organization by contribution (year) o Formation of superior research group by technology and introduction of operation system for research accumulation are needed. o Technology demand-oriented assignment deduction and promotion of research development project connected with intermediate long term objective o National will and investment extension of research development costs, training and popularization of professionals, commercialization promotion with efficient control for research plan and result.

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Sustainable Smart City Building-energy Management Based on Reinforcement Learning and Sales of ESS Power

  • Dae-Kug Lee;Seok-Ho Yoon;Jae-Hyeok Kwak;Choong-Ho Cho;Dong-Hoon Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1123-1146
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    • 2023
  • In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

Hydrogen Impurities Analysis From Proton Exchange Membrane Hydrogen Production (양자교환막을 이용하여 생산된 수소의 불순물 분석)

  • Lee, Taeckhong;Kim, Taewan;Park, Taesung;Choi, Woonsun;Kim, Hongyoul;Lee, Hongki
    • Transactions of the Korean hydrogen and new energy society
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    • v.24 no.4
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    • pp.288-294
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    • 2013
  • This gas analysis data come from the hydrogen which is produced by proton exchange membrane. Main impurities of hydrogen are methane, oxygen, nitrogen, carbon monoxide, and carbon dioxide. The concentration of impurities is ranged between 0.0191 to $315{\mu}mol/mol$ for each impurity. Methane contamination is believed from the electrode reaction between carbon doped electrode and produced hydrogen. Nitrogen contamination should take place the sampling process error, not from PEM hydrogen Production system.

Robust market-based control method for nonlinear structure

  • Song, Jian-Zhu;Li, Hong-Nan;Li, Gang
    • Earthquakes and Structures
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    • v.10 no.6
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    • pp.1253-1272
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    • 2016
  • For a nonlinear control system, there are many uncertainties, such as the structural model, controlled parameters and external loads. Although the significant progress has been achieved on the robust control of nonlinear systems through some researches on this issue, there are still some limitations, for instance, the complicated solving process, weak conservatism of system, involuted structures and high order of controllers. In this study, the computational structural mechanics and optimal control theory are adopted to address above problems. The induced norm is the eigenvalue problem in structural mechanics, i.e., the elastic stable Euler critical force or eigenfrequency of structural system. The segment mixed energy is introduced with a precise integration and an extended Wittrick-Williams (W-W) induced norm calculation method. This is then incorporated in the market-based control (MBC) theory and combined with the force analogy method (FAM) to solve the MBC robust strategy (R-MBC) of nonlinear systems. Finally, a single-degree-of-freedom (SDOF) system and a 9-stories steel frame structure are analyzed. The results are compared with those calculated by the $H{\infty}$-robust (R-$H{\infty}$) algorithm, and show the induced norm leads to the infinite control output as soon as it reaches the critical value. The R-MBC strategy has a better control effect than the R-$H{\infty}$ algorithm and has the advantage of strong strain capacity and short online computation time. Thus, it can be applied to large complex structures.

A Study on the Structure of Waste Heat System with Energy Technology (에너지 요소기술을 이용한 폐열 활용 시스템 구축에 관한 연구)

  • 이덕기;양종택;김상문
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2000.05a
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    • pp.74-88
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    • 2000
  • 본 연구는 폐열 활용을 보다 실질적으로 적용하기 위한 사건 단계로서 에너지 요소기술들을 폐열활용을 위해 필요한 용도별, 성상별 등과 같은 요인들을 고려한 분석과 함께 이에 따른 체계도를 구축하였다. 또한, 이들 기술들을 이용하여 수요처에 알맞는 적용 시스템들을 구성하기 위해 폐열활용 요소기술의 접목을 통한 시스템의 최적화를 구현하고자 하였으며 이에 따라 폐열발생처별 특성과 이에 가능한 시스템을 선정하고 요소기술을 적용할 시스템 모형의 대안들을 제시하였다. 특히, 기술체계도와 요소기술의 시스템 분석을 통하여 폐열활용의 기본틀을 제시하였으며, 폐열 활용의 종합적인 이용 방법과 함께 적용처별로 시스템 대안을 제시하였다.

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An Analysis on Policy Trends of the Use and Development of Nuclear Power in Nuclear Advanced Countries (주요국의 원자력이용개발 정책동향 분석)

  • 차종희;조흥곤;양맹호
    • Journal of Korea Technology Innovation Society
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    • v.6 no.4
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    • pp.462-479
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    • 2003
  • The policy trends of use and the development of nuclear power in the United States, France, United Kingdom. Germany, Russia, China, Japan and Korea are briefly investigated. Nuclear power technology has been developed as the national policy in the nuclear-advanced countries. 50 years has passed since the declaration of "Atoms for Peace" by USA President Eisenhour in December 1953. Recently, it appears to revitalize the nuclear power program in world major countries in order to recover the shortage of electric power and to curb the excess emission of carbon dioxide as well as to secure competitiveness in electricity markets. Advanced countries are making new initiatives for the development of the fourth generation nuclear power system. Furthermore, wide-ranged use and development of nuclear power technologies are expected in district heating in commercial sectors, power in the space exploration, and propulsion power of large tankers and spaceships. High temperature gas cooled nuclear power reactor will be applied for mass production of hydrogen energy in the future.

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Trend of New-Technology for Photovoltaics (태양광발전의 신기술동향)

  • Kim, Ho-Kun
    • The Journal of Information Technology
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    • v.12 no.4
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    • pp.19-24
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    • 2009
  • Recently, for the efforts of low-carbon deduction and to solve the problems of global warming, many industrial nations in world have been strengthening positively their competitive power into the research, development and industrialization of new renewable sources of energy and clean energy. In the most promising source of photovoltaic, it is essential that the government take an initiative role to develop and industrialize the materials, ingot or wafer, solar cell, power conditioning system and photovoltaic system, and need to establish both short-term and long-term technical development of goal setting and forward plan in the direction of the technical development strategy and forward industrialization for the strengthening of world market. This paper analyze new technology, policies and the market trend of photovoltaic field which are currently strategically and actively enhancing the research, development and practical-industralization by Korea and other nations.

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