• 한국수소및신에너지학회논문집
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• 제33권4호
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• pp.301-308
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• 2022

The Hydrogen Economy Promotion and Hydrogen Safety Management Act (hereinafter referred to as the "Hydrogen Economy Act") stipulates matters related to certification and cancellation of clean hydrogen by grade, and requires those who produce, import, or sell clean hydrogen to report to the Minister of Trade, Industry and Energy. In order for this system to operate smoothly, the clean hydrogen Certification system must be designed to meet international standards, and the institution operating the System must have appropriate capabilities and foundations. The clean hydrogen certification system should serve as an opportunity for Korea's domestic energy industry to take a leap forward.

• KIEAE Journal
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• 제12권5호
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• pp.3-10
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• 2012

In this study, the influence of decentralized rainwater management over the changes in evapotranspiration was analyzed. The analysis method was obtained by establishing the decentralized rainwater management plan according to different scenarios, and subsequently examined evapotranspiration in the plan. Scenario 1 refers to the analysis of the existing situation, in which was 100% of a parking lot is asphalt pavement. In Scenario 2, the pavement of the parking surface in the parking lot is replaced with lawn blocks. In Scenario 3, some asphalt pavement was removed to establish a flower-bed type infiltration system to allow rainwater to permeate. In Scenario 4, infiltration and storage of rain water would be achieved by transforming the parking surface into lawn blocks, keeping the asphalt for the parking road while establishing a vegetation strip. The amount of evapotranspiration of the target site was analyzed with a water budget analysis program (CAT) using the 2001 meteorological data for each scenario According to the analysis values of S2 and S3, it was found that evapotranspiration is critically affected by the amount of area replaced with pervious area in the total target site. An energy equivalent to 680kWh is required for 1 ton of water to evaporate. Hence, it can be seen that the active inducement of evapotranspiration in urban area makes a positive contribution not only to heat island mitigation, but also to the small-scale water circulation process in a city.

• 신재생에너지
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• 제7권2호
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• pp.18-27
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• 2011

Management flexibility to adapt its future actions in response to altered future market conditions can expand the value of an investment opportunity by improving its upside potential without the change in the downside losses. Module manufacturers in solar industry continuously have to decide how much and when its production capacity should be expanded with regards to the demand in the global markets. Either over- or under-investment can cause sunk and/or opportunity costs to the module manufacturers. Option of exercising the additional investments only on favorable opportunities can increase total value of the investment. This paper analyzes the case which shows that the expansion of production capacity with more expandibility can have more value than the rigid plan of capacity expansion. The expansion option value is equivalent to KRW 38.286 billion, thus switching the negative NPV of the initial investment opportunity into the positive value. High volatility and the high growth in the cashflows as the major business features of the renewable energy provide condition where real options can play the crucial role in increasing the investment value as well as in determining the size and timing of capacity expansion in the course of capital budgeting process.

• 한국태양에너지학회 논문집
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• 제31권3호
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• pp.101-108
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• 2011

This study aims to suggest an energy consumption improvement plan for university buildings through an analysis of energy consumption. Upon a simulation of subject building to interpret energy consumption, it was found that 154.07kWh/$m^2$ of energy is consumpted annually. Improvement of design elements can cut down the energy consumption to 135.61kWh/$m^2$ according to an energy reduction analysis related to envelope performance improvement. Additional improvement of lights and heat exchanger can curtail annual energy consumption to 108.32kWh/$m^2$. Also, an analysis of energy consumption while increasing indoor temperature gradually showed that the two factors are in proportion. $6^{\circ}C$ higher temperature requires over twice of the current energy. Based on this survey result, performance improvement due to building management and envelope elements which influence to building cooling and heating loads can curtail building energy consumption.

• 에너지공학
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• 제25권1호
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• pp.131-144
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• 2016

최근 기후변화로 인해 전 세계적인 지구온난화 피해가 심각해지면서 주요원인인 온실가스에 대한 배출 규제가 확대되고 있다. 그 중 온실가스 배출량의 약 25%를 차지하는 건물분야에 대해 정부에서는 2020년까지 BAU 대비 26.9%까지 감축하겠다는 목표를 발표하였다. 이를 달성하기 위해 건물부문의 에너지 수요를 원천적으로 저감하는 녹색건축물 활성화 방안을 추진하고 있다. 하지만 녹색건축물 활성화의 상세 이행계획 수립 및 관리, 그리고 시행에 따른 효과를 분석하기 위해서는 건물 에너지 사용량에 대한 데이터 및 관련 통계 자료가 필수적이다. 이를 위해 정부는 전국 680만동의 건물에서 사용되는 에너지 정보를 통합 관리할 수 있는 국가 건물에너지 통합관리시스템을 구축하였다. 하지만 현재 구축된 국가 건물에너지 통합관리시스템의 Database는 건축물대장 정보와 공급기관의 에너지정보를 매칭해서 사용하기 때문에 수동으로 작업이 이루어지고 있으며, 이로 인해 많은 문제들이 발생한다. 따라서 Database의 신뢰성을 확보하기 위해서는 지속적인 고도화 작업이 이루어져야 한다. 본 과제는 현재 가동 중인 국가 건물에너지 통합관리시스템의 Database를 분석하여, 시스템의 한계 및 개선방안 도출하고, 이를 통해 데이터의 신뢰성 확보 및 활용성을 증대 시키고자 하였다. 구축된 Database 분석 결과 건축물 정보와 에너지정보가 매칭된 유효데이터는 평균 85.6%이고, 미매칭된 데이터는 평균 14.4%로 나타났다. 미매칭된 데이터는 다시 건물 특성에 따른 미매칭 유형을 분석하였으며, 그 결과 건축물 정보가 없는 경우가 전체의 58.2%에 달했다. 따라서 향후 신규 구축 data의 매칭 작업 용이성 및 현재 Database에 대한 정확성 확보하기 위해서는 건축물 정보와 에너지정보 간의 주소 표준화 및 속성정보 체계를 마련할 필요가 있다. 또한 비도시지역 및 영세한 주거지역에서 사용비중이 높은 석유류 에너지원 및 향후 발전 가능성 및 활용 가능성이 높은 신재생 에너지와 같이 다른 에너지원에 대한 정보를 포함시킬 수 있도록 시스템 구축이 필요할 것으로 사료된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 D
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• pp.2254-2256
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• 2004

Korea Water Resources Corporation (KOWACO), the only organization specialized in water resources management in Korea, is planning to establish a centralized control system for a related operation. in the central control room, of decision making as to water management and electric power generation. This plan is intended to convert the existing on-site operation system in each multi-purpose dam across the nation into a central operation system in the Corporations head office, for which Generation Integrated Operating System (GIOS) will be established control center in the Corporations head office and modernized nine (9) power stations. substations (RDAC). This article discusses realization of GTOS, especially real-time operation of hydropower plants and a specific architectural features for system communication.

• 경영과학
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• 제26권2호
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• pp.91-112
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• 2009

Recently, the green business/IT-related issues such as $CO_2$ emission and energy consumption have become spread out rapidly through the world. EU, the United States, Japan and other developed countries are using IT-related environmental regulations as trade barriers. Korea which has high rate of IT exports needs to establish systematic strategies to respond to these environmental regulations. However, it is not easy to find the related research about making green business/IT strategies. This research aims to deduce the green business/IT strategy framework and the suitable green business/IT strategies for the Korean situation. The green business/IT strategy framework is constructed from the analysis of preceding researches and those of the green business/IT strategies of Japan, the United States, and EU. The Korean green business/IT strategies are deduced from survey of experts using Delphi method. We expect that the results contribute to establish the systematic policy and action plan to reduce $CO_2$ emission and energy consumption of IT industry.

• 도시과학
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• 제11권1호
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• pp.15-20
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• 2022

The issue of hotel energy use is growing more significant as the hotel industry expands. It is important to take into account the electrical installation and space-specific features in a room unit in order to comprehend the energy consumption of a hotel guestroom. In light of this, this study aimed to analyze standby power for enhancing the energy efficiency of a hotel guestroom during check-out status. This study was conducted in three steps: (i) data collection; (ii) analysis of energy consumption patterns; and (iii) analysis of energy efficiency improvement plan. The main findings of this study can be summarized as follows. First, 32.24% of energy was used in fan coil unit) during check-out status. Second, a hotel guestroom had a 4.30% energy saving potential, based on energy consumption patterns during check-out status. This study can contribute to support hotel management to operate guestrooms differently by helping them identify patterns in energy use and realize potential savings.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.171-176
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• 2010

Railway has recently played an important role in preventing global warming caused by green house gases and furthering a low carbon green growth, The various railway research centers have conducted facilitated studies on saving energy. In particular, urban railway has emerged as the best means of public transportation in terms of punctuality, safety and environmentally friendliness. There are various ways to save energy in terms of operation of urban railway system, and they can be generally divided into hardware aspects that pertain to structure of vehicles and development of control system and software aspects that pertain to effective operation of trains based on operation patterns and diagram control. In this paper, we investigated drive assistance system for railway energy efficiency. The railway operation patterns and train diagram management programs were researched.

• Journal of Korea Artificial Intelligence Association
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• 제1권2호
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• pp.21-25
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• 2023

The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.