• Title/Summary/Keyword: Energy management plan

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A Study on Implementation Plan of Clean Hydrogen Certification System (청정수소 인증제 시행방안 연구)

  • RHEE, HAN WOO;KIM, JIN HO
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.4
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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.

Study on the Changes in Evapotranspiration according to the Decentralized Rainwater Management (분산식 빗물관리시설 적용에 따른 증발산 변화 연구)

  • Han, Young-Hae;Lee, Tae-Goo
    • KIEAE Journal
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    • v.12 no.5
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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.

On Determining the Size and the Timing of the Capacity Expansion in PV Module Manufacturing: Management Flexibility in Real Options Model (태양광모듈 생산 증설투자에 대한 의사결정: 실물옵션모형에 의한 경영유연성 가치 분석)

  • Kim, Kyung-Nam;SonU, Suk-Ho
    • New & Renewable Energy
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    • v.7 no.2
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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.

Study on Energy Consumption according to Building Envelope Performance and Indoor Temperature (건축물의 외피성능 및 실내온도에 따른 에너지 사용량에 관한 연구)

  • Yoo, Ho-Chun;Kang, Hyun-Gu
    • Journal of the Korean Solar Energy Society
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    • v.31 no.3
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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.

A Study on the Analysis and Methods to Improve the Management System for Building Energy Database (국가 건물에너지통합관리시스템의 데이터 품질 분석 및 개선방안 연구)

  • Kim, Sung-Min;Yoon, Jong-Don;Kwon, Oh-In;Shin, Sung-Eun
    • Journal of Energy Engineering
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    • v.25 no.1
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    • pp.131-144
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    • 2016
  • Damage occur frequently around the world on climate change and the main cause of greenhouse gas emissions regulation is growing. To this end, the government has built integrated management system for national building energy. The building energy information is total 6.8 million complex. Integrated management system for national building energy database are matched building registers information and energy information of the supply agencies. However, the matching process has its limitations so advanced work is in progress continuously. This study analyzed integrated management system for national building energy database quality and limitations and deduce improvement plan to increase system reliability and availability. The existing database matching average rate is 85.6%. 58.2% of the total non-matching data type has no building information. To ensure the ease of new database matching and the accuracy of the existing database matching, address standarization and building properties system are needed between building information and energy information. Also, The system construction is required to include information on other energy sources like petroleum energy which has high proportion of non-urban areas and small residential areas and renewable energy which has high potential in development and utilization.

The Study on the Generation Integrated Operating System(GIOS) in KOWACO (발전 통합 운영 시스템에 관한 연구)

  • Kim, Hyung-Yun;Kim, Ki-Won
    • Proceedings of the KIEE Conference
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    • 2004.07d
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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.

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Development of Korean Green Business/IT Strategies Using Delphi Technique (델파이 방법을 이용한 한국의 그린 비즈니스/IT 추진전략 수립)

  • Choi, Ju-Choel;Choi, Il-Young;Kim, Jae-Kyeong
    • Korean Management Science Review
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    • v.26 no.2
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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.

Analysis of standby power for enhancing the energy efficiency of a hotel guestroom - Focusing on check-out status - (호텔 객실의 에너지 효율화를 위한 대기전력 분석 - 체크아웃 상태를 중심으로 -)

  • Lee, Junsoo;Koo, Choongwan
    • Journal of Urban Science
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    • v.11 no.1
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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.

A study on application plan of driver assistance system for railway energy efficiency (철도에너지 효율화를 위한 운전자 지원시스템 적용방안 연구)

  • Kim, Young-Kyu;Park, Se-Young;Ko, Young-Ho;Nam, Hui-Bok;Han, Moon-Sub
    • Proceedings of the KSR Conference
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    • 2010.06a
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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.

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Forecasting Energy Consumption of Steel Industry Using Regression Model (회귀 모델을 활용한 철강 기업의 에너지 소비 예측)

  • Sung-Ho KANG;Hyun-Ki KIM
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.2
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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.