• 제목/요약/키워드: Electricity Storage

검색결과 273건 처리시간 0.028초

BEMS 데이터를 활용한 도서관 건물의 운전현황 분석 -준공 초기단계의 건물 에너지 성능 평가 (An Operation Status Analysis of Library Building using BEMS Data; Energy Performance Evaluation on Initial Stage of Completion)

  • 박성철;하주완;김환용;송영학
    • 한국건축친환경설비학회 논문집
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    • 제12권6호
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    • pp.669-679
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    • 2018
  • Energy consumption savings in buildings should be reviewed in diverse areas such as air conditioning system and lighting responsible for cooling and heating, and energy management systems such as BAS (Building Automation System) and BEMS (Building Energy Management System) are introduced to improve energy consumption efficiency and to promote economic control of related facilities by integrated management of energy generated and consumption in buildings. The measured building of this study uses regenerative geothermal system. Measured values of heat pump and system COP were 4.7 and 4.2 respectively, and they were found to be higher 11.9% and 23.5% than rated values. As a result of analyzing the air conditioning and lighting energy from the first floor to the fourth floor performing the air conditioning, the second and third floors, which have a high frequency of use, are compared with the first and fourth floors 50% higher energy consumption ratio. On the other hand, the general heat storage system uses the nighttime power of the previous day to store heat and use it the next day. The total number of days of abnormal operation during the summer season is 61 days. The electricity cost corresponding to the abnormal operation is 1,840,641 KRW, and the normal operation using the nighttime power is 1,363,561 KRW, which is difference of 477,080 KRW, 35% increase in cost. We will utilize it as the main data of BEMS through analysis of winter operation characteristics as well as summer operation characteristics.

수소도시 내 마이크로 히트그리드 구성 방안 및 최적 규모 산정 연구 (A Study for Analysis of Micro Heat Grid Configuration and Deduction of Optimal Size in Hydrogen Cities)

  • 이종준;임슬예;신경아;김남웅;김도형;박철규
    • 한국수소및신에너지학회논문집
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    • 제33권6호
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    • pp.845-855
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    • 2022
  • In response to climate change, the world is continuing efforts to reduce fossil fuels, expand renewable energy, and improve energy efficiency with the goal of achieving carbon neutrality. In particular, R&D is being made on the value chain covering the entire cycle of hydrogen production, storage, transportation, and utilization in order to shift the energy supply system to focus on hydrogen energy. Hydrogen-based energy sources can produce heat and electricity at the same time, so it is possible to utilize heat energy, which can increase overall efficiency. In this study, calculation of the optimal scale for hydrogen-based cogeneration and the composition of heat sources were reviewed. It refers to a method of the optimal heat source size according to the external heat supply and heat storage to be considered. The results of this study can be used as basic data for establishing a hydrogen-based energy supply model in the future.

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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    • 제17권4호
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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.

발전소 Deaerator floor의 복사효과 저감을 위한 열유동 해석 (A thermal-flow analysis of deaerator floor of power plant for reducing the radiative heat transfer effect)

  • 김태권;하지수;최용석
    • 한국산학기술학회논문지
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    • 제17권12호
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    • pp.476-481
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    • 2016
  • 화력발전은 화석연료인 석탄을 연소시켜 얻은 열에너지로 물을 끓여 증기를 만들고 그 증기로 터빈을 운전시켜 터빈축에 연결된 발전기로 전기를 얻는 방식이다. 따라서 하절기에는 화력발전소 Deaerator의 표면온도는 $70^{\circ}C$, Storage Tank의 표면온도는 $67^{\circ}C$, 공기온도는 $50^{\circ}C$를 상회한다. 이런 현상은 기기와 작업자에게 부적합한 영향을 끼친다. 특히, Deaerator와 Storage Tank에 인접해 있는 작업자는 복사열전달의 영향을 받아 더 높은 체감온도를 느끼게 된다. 따라서 본 논문에서는 전산해석을 통해 Deaerator 부근의 열유동 특성을 파악하고 단열재를 사용하였을 때와 복사차폐막을 사용하였을 때의 효과를 비교하여 최적의 냉각조건을 제시하였다. Case 1은 현재 발전소의 형상이고 Case 2는 Case 1에서 단열재를 추가로 사용한 형상이고 Case 3은 Case 1에서 복사차폐막을 사용한 형상이다. 유동은 벽면과 열원의 온도 차이에 의해 발생되었고 오른쪽 상단부에 고온의 공기가 포집된다. 온도 분포에서 작업자표면의 최대 온도를 비교해보면 단열재를 사용한 Case 2가 복사효과 저감에 가장 효율적인 것으로 나타났다.

Kt Factor Analysis of Lead-Acid Battery for Nuclear Power Plant

  • Kim, Daesik;Cha, Hanju
    • Journal of international Conference on Electrical Machines and Systems
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    • 제2권4호
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    • pp.460-465
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    • 2013
  • Electrical equipments of nuclear power plant are divided into class 1E and non-class 1E. Electrical equipment and systems that are essential to emergency reactor shutdown, containment isolation, reactor core cooling, and containment and reactor heat removal, are classified as class 1E. batteries of nuclear power plant are divided into four channels, which are physically and electrically separate and independent. The battery bank of class 1E DC power system of the nuclear power plant use lead-acid batteries in present. The lead acid battery, which has a high energy density, is the most popular form of energy storage. Kt factor of lead-acid battery is used to determine battery size and it is one of calculatiing coefficient for capacity. this paper analyzes Kt factor of lead-acid battery for the DC power system of nuclear power plant. In addition, correlation between Kt parameter and peukert's exponent of lead-acid battery for nuclear plant are discussed. The analytical results contribute to optimize of determining size Lead-acid battery bank.

Overview of coal-fired power plant ash situation and cement industry in Vietnam

  • Hong, Ha Thi Vu;Ahn, Ji Whan
    • 에너지공학
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    • 제27권3호
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    • pp.57-62
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    • 2018
  • The development of coal-fired power plants to ensure energy security and electricity consumption is a matter for the Vietnam economy. However, the huge amount of ash discharged is a major environmental challenge. It is estimated that by the end of 2017, the amount of ash in the country is about 40 million tons and annually emitted over 16.4 million tons. While the quantity of coal-fired power plant is rising, the ash content will increase year by year if the ash doesn't treat well. The ash will be increased from 61 million tons in 2018 to 109 million tons in 2020, 248 million tons in 2025 and 422 million tons in 2030. The difficulties of coal-fired power plants are the problem of ash handling, some plants are at risk of closure because there are not enough dump capacity to storage. Therefore, Vietnam is in need of urgent measures to treat a large amount of waste from coal-fired power plants. The specific objectives of this study were as follows: (1) provide an overview of coal ash situation produced by coal-fired power plants in Vietnam; (2) study about regulations related to coal ash treatment; (3) comprehend the literature review of the cement sector status.

상온용 나트륨/유황전지의 방전 특성 (Discharge Properties of Sodium-sulfur Batteries at Room Temperature)

  • 김태범;안효준;허보영
    • 한국재료학회지
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    • 제16권3호
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    • pp.193-197
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    • 2006
  • The sodium/sulfur(Na/S) battery has many advantages such as high theoretical specific energy(760Wh/kg), and low material cost based on the abundance of electrode material in the earth. It has been reported that the electrochemical properties of sodium/sulfur cell above $300^{\circ}C$, utilized a solid ceramic electrolyte and liquid sodium and sulfur electrodes. A lot of researches have been performed in this field. Recently, Na/S battery system was applied for electricity storage system for load-leveling. One of severe problems of sodium/sulfur battery was high operating temperature above $300^{\circ}C$, which could induce the explosion and corrosion by molten sodium, sulfur and polysulfides. In order to develop sodium battery operated at low temperature, sodium ion battery has been studied using carbon anode, and sodium oxides cathodes. However, the energy densities of the sodium ion batteries were much lower than high temperature sodium/sulfur cell. In this study, the sodium/sulfur battery with 1M $NaCF_3SO_3$ is tested at room temperature. The charge-discharge mechanism was discussed based on XRD, DSC, SEM and EDS results.

속응자원의 국내 및 북미 ISO/RTO 주파수조정예비력 서비스 제공에 따른 보상규칙 비교 분석 (Comparison of Compensation Rules for Fast Responding Resources Providing Frequency Regulation Service in Domestic and North American ISO/RTO Power Electricity Market)

  • 박대현;박용기;박종배;김발호;노재형
    • 전기학회논문지
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    • 제67권5호
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    • pp.617-625
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    • 2018
  • Since FERC order 755 was published, each frequency regulation market rules of the North American ISO/RTO have been revised in many parts. In 2016, the domestic CBP market has also changed its market rules to allow ESS to participate in the frequency regulation reserve services(Governor Free and Automatic Generation Control). This paper compares and analyzes the changed North American ISP/RTO market and domestic CBP market rules. In particular, we compare PJM and CAISO frequency regulation market pricing mechanism and settlement rules with the settlement rules of the domestic CBP market and compare the factors of each market used to compensate the participating resources in terms of resource dependency and accuracy.

예측 알고리즘와 에너지 저장장치를 이용한 풍력발전단지 최적 출력 보상 방안 (The Optimal Compensation Scheme for Large-scale Windfarm using Forecasting Algorithm and Energy Storages)

  • 이한상;김갑용;정세용;박병철;한상철;장길수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.396-397
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    • 2011
  • As moving away from fossil fuel makes rapid progress, new paradigm has arisen in the power industry area. Developing alternative energy source is progressing actively, the proportion of renewable energy in electricity production is expected to be increased. Because the output of wind farm depends on wind characteristic, minimizing the output fluctuation is a key to keep the power system controllable and stable. Various compensation scheme for stabilizing the output of wind farm has been developed. Considering some requirements such as reaction velocity, controllability, scalability and applicability, energy storage system is one of the effective methods for spreading of renewable energy. In this paper, method of compensating method with forecasting algorithm was simulated, and then the results was analyzed.

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부하 패턴을 고려한 건물의 전력수요예측 및 ESS 운용 (Load Forecasting and ESS Scheduling Considering the Load Pattern of Building)

  • 황혜미;박종배;이성희;노재형;박용기
    • 전기학회논문지
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    • 제65권9호
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    • pp.1486-1492
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    • 2016
  • This study presents the electrical load forecasting and error correction method using a real building load pattern, and the way to manage the energy storage system with forecasting results for economical load operation. To make a unique pattern of target load, we performed the Hierarchical clustering that is one of the data mining techniques, defined load pattern(group) and forecasted the demand load according to the clustering result of electrical load through the previous study. In this paper, we propose the new reference demand for improving a predictive accuracy of load demand forecasting. In addition we study an error correction method for response of load events in demand load forecasting, and verify the effects of proposed correction method through EMS scheduling simulation with load forecasting correction.