• Title/Summary/Keyword: Electric power and energy

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Operational Characteristics of High-Performance kW class Alkaline Electrolyzer Stack for Green Hydrogen Production

  • Choi, Baeck B.;Jo, Jae Hyeon;Lee, Taehee;Jeon, Sang-Yun;Kim, Jungsuk;Yoo, Young-Sung
    • Journal of Electrochemical Science and Technology
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    • 제12권3호
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    • pp.302-307
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    • 2021
  • Polymer electrolyte membrane (PEM) electrolyzer or alkaline electrolyzer is required to produce green hydrogen using renewable energy such as wind and/or solar power. PEM and alkaline electrolyzer differ in many ways, instantly basic materials, system configuration, and operation characteristics are different. Building an optimal water hydrolysis system by closely grasping the characteristics of each type of electrolyzer is of great help in building a safe hydrogen ecosystem as well as the efficiency of green hydrogen production. In this study, the basic operation characteristics of a kW class alkaline water electrolyzer we developed, and water electrolysis efficiency are described. Finally, a brief overview of the characteristics of PEM and alkaline electrolyzer for large-capacity green hydrogen production system will be outlined.

머신러닝 기법을 활용한 에너지 데이터 분석에 관한 연구 (A Research on the Energy Data Analysis using Machine Learning)

  • 김동주;권성철;문종희;심기도;배문성
    • KEPCO Journal on Electric Power and Energy
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    • 제7권2호
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    • pp.301-307
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    • 2021
  • After the spread of the data collection devices such as smart meters, energy data is increasingly collected in a variety of ways, and its importance continues to grow. However, due to technical or practical limitations, errors such as missing or outliers in the data occur during data collection process. Especially in the case of customer-related data, billing problems may occur, so energy companies are conducting various research to process such data. In addition, efforts are being made to create added value from data, which makes it difficult to provide such services unless reliability of data is guaranteed. In order to solve these challenges, this research analyzes prior research related to bad data processing specifically in the energy field, and propose new missing value processing methods to improve the reliability and field utilization of energy data.

A Study on Using Large-Scale Energy Storage Systems in Automatic Generation Control Operations of the Energy Management Systems

  • Im, Jihoon;Lim, Gunpyo;Park, Chanwook;Choi, Yohan;Kim, Seunghan;Chang, Byunghoon
    • KEPCO Journal on Electric Power and Energy
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    • 제2권1호
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    • pp.121-125
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    • 2016
  • KEPCO has completed the installation and demonstration of a 52 MW battery energy storage system (BESS) for frequency regulation. Especially, 24 MW BESS is for Automatic Generation Control (AGC) in Shin-Yongin substation. Recently, KEPCO Research Institute has operated it connected to EMS of KPX. This paper discussed the operation strategy of EMS through a study on using 24 MW BESS in AGC operation and propose the improvement of AGC target. It is expected that this paper helps a safe and reliable operation and control of ESS for AGC through its continuous update.

전력산업 RD&D 실증사례 분석을 통한 기술혁신 프레임워크 설정에 관한 연구 (A Study on Technology Innovation Framework through Analysis of RD&D Cases in Electric Power Industry)

  • 박수만
    • KEPCO Journal on Electric Power and Energy
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    • 제3권1호
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    • pp.57-63
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    • 2017
  • This study aimed at proposing a RD&D good practice policy guidelines for energy technology innovation in electric power industry, we identified the success factors on energy RD&D through representative case analysis such as energy RD&D demonstration project and strategy plan, technology road map, etc. Based on a successful case study, we have identified the key elements needed to suggest when setting a RD&D technology innovation policy framework for technological competitiveness in the power industry sector. We have presented guidelines for energy technology innovation direction from the full cycle perspective of RD&D. The energy RD&D innovation system that we have established is meaningful in that the implications are derived and reflected through the case analysis of developed countries. The results of this study are as follows; Enhancement of R&D investment performance, commercialization of research achievements, promotion of export industrialization of electric power industry, establishment of RD&D governance system of power energy, etc.

크리깅 기법 기반 재생에너지 환경변수 예측 모형 개발 (Development of Prediction Model for Renewable Energy Environmental Variables Based on Kriging Techniques)

  • 최영도;백자현;전동훈;박상호;최순호;김여진;허진
    • KEPCO Journal on Electric Power and Energy
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    • 제5권3호
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    • pp.223-228
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    • 2019
  • In order to integrate large amounts of variable generation resources such as wind and solar reliably into power grids, accurate renewable energy forecasting is necessary. Since renewable energy generation output is heavily influenced by environmental variables, accurate forecasting of power generation requires meteorological data at the point where the plant is located. Therefore, a spatial approach is required to predict the meteorological variables at the interesting points. In this paper, we propose the meteorological variable prediction model for enhancing renewable generation output forecasting model. The proposed model is implemented by three geostatistical techniques: Ordinary kriging, Universal kriging and Co-kriging.

기술 특성치 스크리닝을 통한 최적 에너지저장 기술 선정 방법 (Technology Selection Method for Optimal Energy Storage)

  • 제갈성;이지현;김현실;신제석;임지훈
    • 신재생에너지
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    • 제19권1호
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    • pp.31-40
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    • 2023
  • The expanding significance of energy storage (ES) technology is increasing the acceptability of power systems by augmenting renewable energy supply. To deploy such ES technologies, we must select the optimal technology that meets the requirements of the system and confirm the technical and economic feasibility of the business model based on it. Herein, we propose a method and tool for selecting the optimal ES technology suitable for meeting the requirements of the system, based on its performance characteristics. The method described in this study can be used to discover and apply various ES technologies and develop business models with excellent economic feasibility.

캡슐형 빙축열시스템에 대한 운전 시뮬레이션 및 에너지비용 분석 (Simulation and Energy Cost Calculation of Encapsulated Ice Storage System)

  • 이경호;주용진;최병윤;김상준
    • 태양에너지
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    • 제19권3호
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    • pp.63-73
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    • 1999
  • Ice storage systems are used to shift the peak load in day time into night time in summer. This paper describes a system simulation of partial ice storage system composed of an encapsulated ice storage tank, a screw compressor chiller, a heat exchanger, and a brine pump. For the system simulation, a one-dimensional model of ice storage tank is developed and validated by comparison with the performance data from measurements of an ice storage tank installed at a building. The control strategies considered in this study are chiller priority and storage priority being used commercially. The system is simulated with design cooling load of 600 RT peak load in design day and with off-design day cooling load, and the electric energy costs of the two control strategies for the same system size are compared. As a result of calculation, the energy consumption in a week for storage priority is higher than that for chiller priority control. However due to lower cost of night electric charge rate, energy cost for storage priority control is lower than chiller priority.

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스마트시티 에너지 감시를 위한 CIM(Common Information Model) 프로파일 설계 (Design of CIM(Common Information Model) Profile for Smart City Energy Monitoring)

  • 김영일;채창훈;김예리;이지훈
    • KEPCO Journal on Electric Power and Energy
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    • 제8권2호
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    • pp.127-135
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    • 2022
  • With the advent of high technologies such as the 4th Industrial Revolution and artificial intelligence and big data, efforts are being made to solve urban problems and improve the quality of life by applying new technologies in the smart city field. In addition, as carbon neutrality has emerged as an important issue due to global warming, smart city energy platform technologies such as urban energy management, efficiency improvement, and carbon reduction are in the spotlight. In order to effectively manage urban energy, energy resource information such as electricity, water, gas, hot water, heating, etc. must be collected from the management system of various energy utilities and managed on the central platform. The centrally integrated data is delivered to external city management systems that require city energy information through an energy platform. This study developed a CIM profile for smart city energy monitoring required to provide energy data to external systems. Electric data model were designed using the CIM class of IEC 61970, and water, gas, and heat data model were designed in compliance with the UML-based design ideas of IEC 61970.

Experimental Study on Combined Ocean Thermal Energy Conversion with Waste Heat of Power Plant

  • Jung, Hoon;Jo, Jongyoung;Chang, Junsung;Lee, Sanghyup
    • KEPCO Journal on Electric Power and Energy
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    • 제5권3호
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    • pp.215-222
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    • 2019
  • This work is experimental study of 10 kW specialized Combined Ocean Thermal Energy Conversion. We propose a C-OTEC technology that directly uses exhaust thermal energy from power station condensers to heat the working fluid (R134a), and tests the feasibility of such power station by designing, manufacturing, installing, and operating a 10 kW-pilot facility. Power generation status was monitored by using exhaust thermal energy from an existing power plant located on the east coast of the Korean peninsula, heat exchange with 300 kW of heat capacity, and a turbine, which can exceed enthalpy efficiency of 45%. Output of 8.5 kW at efficiency of 3.5% was monitored when the condenser temperature and seawater temperature are $29^{\circ}C$ and $7.5^{\circ}C$, respectively. The evaluation of the impact of large-capacity C-OTEC technology on power station confirmed the increased value of the technology on existing power generating equipment by improving output value and reducing hot waste water. Through the research result, the technical possibility of C-OTEC has been confirmed, and it is being conducted at 200 kW-class to gain economic feasibility. Based on the results, authors present an empirical study result on the 200 kW C-OTEC design and review the impact on power plant.

Coordinated Control Strategy and Optimization of Composite Energy Storage System Considering Technical and Economic Characteristics

  • Li, Fengbing;Xie, Kaigui;Zhao, Bo;Zhou, Dan;Zhang, Xuesong;Yang, Jiangping
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.847-858
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    • 2015
  • Control strategy and corresponding parameters have significant impacts on the overall technical and economic characteristics of composite energy storage systems (CESS). A better control strategy and optimized control parameters can be used to improve the economic and technical characteristics of CESS, and determine the maximum power and stored energy capacity of CESS. A novel coordinated control strategy is proposed considering the coordination of various energy storage systems in CESS. To describe the degree of coordination, a new index, i.e. state of charge coordinated response margin of supercapacitor energy storage system, is presented. Based on the proposed control strategy and index, an optimization model was formulated to minimize the total equivalent cost in a given period for two purposes. The one is to obtain optimal control parameters of an existing CESS, and the other is to obtain the integrated optimal results of control parameters, maximum power and stored energy capacity for CESS in a given period. Case studies indicate that the developed index, control strategy and optimization model can be extensively applied to optimize the economic and technical characteristics of CESS. In addition, impacts of control parameters are discussed in detail.