• 제목/요약/키워드: energy supply and demand

검색결과 521건 처리시간 0.029초

Power Sharing and Cost Optimization of Hybrid Renewable Energy System for Academic Research Building

  • Singh, Anand;Baredar, Prashant
    • Journal of Electrical Engineering and Technology
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    • 제12권4호
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    • pp.1511-1518
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    • 2017
  • Renewable energy hybrid systems look into the process of choosing the finest arrangement of components and their sizing with suitable operation approach to deliver effective, consistent and cost effective energy source. This paper presents hybrid renewable energy system (HRES) solar photovoltaic, downdraft biomass gasifier, and fuel cell based generation system. HRES electrical power to supply the electrical load demand of academic research building sited in $23^{\circ}12^{\prime}N$ latitude and $77^{\circ}24^{\prime}E$ longitude, India. Fuzzy logic programming discover the most effective capital and replacement value on components of HRES. The cause regarding fuzzy logic rule usage on HOMER pro (Hybrid optimization model for multiple energy resources) software program finds the optimum performance of HRES. HRES is designed as well as simulated to average energy demand 56.52 kWh/day with a peak energy demand 4.4 kW. The results shows the fuel cell and battery bank are the most significant modules of the HRES to meet load demand at late night and early morning hours. The total power generation of HRES is 23,794 kWh/year to the supply of the load demand is 20,631 kWh/year with 0% capacity shortage.

전력(電力)의 수요측(需要側) 관리방안(管理方案) (Demand Side Management in Power System)

  • 강원구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.45-47
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    • 1993
  • Load Management, is originated from efficiency improvement of energy use, or energy conservaion. Traditionally, electric utilities have constructed new power plants to meet the steadily increasing electricity demand. Power development planning, however, is becoming more difficult in the countries like Korea, Japan, and the United States, and increasing concerns about global environmental problems necessitate changes from existing supply-side options based on fossil-fuel to environmentally agreeable supply strategies. This paper discusses the demand side management strategy with emphasis on the concept, implementation scheme, and current practices employed in utilities.

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A Simple Power Management Scheme with Enhanced Stability for a Solar PV/Wind/Fuel Cell Fed Standalone Hybrid Power Supply using Embedded and Neural Network Controller

  • Thangavel, S.;Saravanan, S.
    • Journal of Electrical Engineering and Technology
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    • 제9권5호
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    • pp.1454-1470
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    • 2014
  • This paper propose a new power conditioner topology with intelligent power management controller that integrates multiple renewable energy sources such as solar energy, wind energy and fuel cell energy with battery backup to make best use of their operating characteristics and obtain better reliability than that could be obtained by single renewable energy based power supply. The proposed embedded controller is programmed for maintaining a constant voltage at PCC, maximum power point tracking for solar PV panel and WTG and power flow control by regulating the reference currents of the controller on instantaneous basis based on the power delivered by the sources and load demand. Instantaneous variation in reference currents of the controller enhances the controller response as it accommodates the effect of continuously varying solar insolation and wind speed in the power management. The power conditioner uses a battery bank with embedded controller based online SOC estimation and battery charging system to suitably sink or source the input power based on the load demand. The simulation results of the proposed power management system for a standalone solar/WTG/fuel cell fed hybrid power supply with real time solar radiation and wind velocity data collected from solar centre, KEC for a sporadically varying load demand is presented in this paper and the results are encouraging in reliability and stability perspective.

냉방부하 수요 창출을 통한 효율적 에너지 관리방안 연구 (A Study on the Cooling Load Generation for Efficient Energy Management)

  • 우남섭;김용기;이태원
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.1007-1012
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    • 2008
  • Demand for the highly efficient and high performance urban energy supply system having been continuously increased according to the rise of quality of life and continuously increased energy cost all over the world. The district heating and cooling system is very effective way for energy saving, cost reduction, and demand side management of energy. There are several district cooling supply technologies such as chilled water direct transportation, installation of absorption type chiller in the user side, and desiccant cooling. This study investigates the advantage and technical problems of each district cooling technology. Also, it is necessary political and financial support system for the extension of district cooling system.

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자원수급(資源需給)의 세계적(世界的)인 추세(趨勢)와 우리나라의 동향(動向) -국내자원(國內資源)의 유효이용(有效利用)을 위한 처리(處理) 및 회수기술(回收技術) 동향조사(動向調査)(1)- (Worldwide Trend and Korean Recent Status in the Supply-Demand for Resources -The Current Situation of Recycling Technology for Waste Resources in Korea(1)-)

  • 오재현;김미성;조성백
    • 자원리싸이클링
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    • 제15권3호
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    • pp.3-19
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    • 2006
  • 본 연구에서는 우리나라 미이용 자원의 유효이용 즉, 리싸이클링의 동향을 조사하기에 앞서 다양한 자원의 전체현황을 파악하려고 노력하였다. 그러기 위해서 자원수급의 세계적인 추세를 논하였고, 우리나라와 비교 검토하기 위해서 일본의 주요금속의 머티리얼 흐름을 조사하였다. 끝으로 우리나라 금속자원, 에너지자원 및 광물자원의 수급동향을 탐색, 고찰하였다.

학교 건물의 신재생에너지 적용을 위한 수요/공급 분석 및 평가에 관한 연구 (Study on the Feasibility Test of Renewable Energy Systems for Schools)

  • 남현진;박은미;배민호;김재민;박효순
    • 설비공학논문집
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    • 제22권4호
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    • pp.197-204
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    • 2010
  • Schools are one of the most suitable buildings for renewable energy systems because they have favourable demand profiles for renewable energy system (e.g. solar thermal collector, photovoltaic panels), modular-based building plan and large open spaces (e.g. play ground, gardens, roof) for the installation. This paper presents a methodology of the feasibility test for renewable energy systems to be installed at schools. The methodology is based on the analysis of the demand/supply profiles dynamic matching. a case study is also presented to test the applicability of the proposed assessment methodology.

계량경제모델에 의한 치과의사 이력수급에 관한 연구 (Demand and Supply of Dental Manpower by the Econometrical Model)

  • 김용란;이승우
    • Journal of Oral Medicine and Pain
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    • 제6권1호
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    • pp.45-56
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    • 1981
  • The demand and supply of dentists was studied by the econometrical model. It is based on the data of socio-economic-cultural statistic from 1967 to 1977; GNP, average monthly consumption expenditure per household, consumption of milk, populat ion, consumption of energy, water supply per person a day and entrance rate of senior high school. 1.The curved regression equation and multiple correlation coefficient (R)between the number of dentists(Y) and year (x)were $Y=4,122(1.06)^x$,R=0.995. 2. From 1982 to 1985, expected demand and expected supply will be approximately balanced. But dentists will be oversupplied conspicuously from the year of 1986. Such a oversupply will be remarkably incresed to the amount of 1860 in the year of 2000. 3. It is seemed that balanced number of graduates of dental colleges will be about 350 to the year of 1985, from the year of 1986, will be about 450, from the year of 1981, will be about 600 and from the year of 1996, will be about 700. 4. In 2000, persons served by each dentist will be 3550 by the expected supply and 4120 by the expected demand.

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머신러닝 기반 수소 충전소 에너지 수요 예측 모델 (Machine Learning-based hydrogen charging station energy demand prediction model)

  • 황민우;하예림;박상욱
    • 인터넷정보학회논문지
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    • 제24권2호
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    • pp.47-56
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    • 2023
  • 수소 에너지는 높은 에너지 효율로 열과 전기를 생산하면서도 온실가스와 미세먼지 등 유해물질 배출이 없는 친환경 에너지로서, 전 세계적으로 탄소중립으로의 전환을 위한 핵심으로 주목받고 있다. 특히 스마트 수소에너지는 경제적이고 지속 가능하며, 안전한 미래 스마트 수소에너지 서비스로써 수소 에너지의 기반 시설이 디지털로 통합되어 '데이터' 기반으로 안정적으로 운영되는 서비스를 의미한다. 본 논문에서는 데이터 기반 수소 충전소 수요예측 모델 구현을 위해 강원도 내 설치되어 있는 수소 충전소 3곳(춘천, 속초, 평창)을 선정, 수소 충전소의 수요공급 데이터를 확보하였고, 머신러닝 및 딥러닝 알고리즘 7개를 선정하여 총 27종 입력 데이터(기상데이터+수소 충전소 수요량)로 모델을 학습하였고, 평균 제곱근 오차(RMSE)로 모델을 평가하였다. 이를 통해 본 논문에서는 최적의 수소 에너지 수요공급을 위한 머신러닝 기반 수소 충전소 에너지 수요 예측 모델을 제안한다.

국내 수소 수요현황 파악을 통한 원자력 수소의 공급 용량 예측 안 (Suggestion of nuclear hydrogen supply by analyzing status of domestic hydrogen demand)

  • 임미숙;방진환;오전근;윤영식
    • 한국수소및신에너지학회논문집
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    • 제17권1호
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    • pp.90-97
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    • 2006
  • Hydrogen is used as a chemical feedstock in several important industrial processes, including oil refineries and petro-chemical production. But, nowadays hydrogen is focused as energy carrier on the rising of problems such as exhaustion of fossil fuel and environmental pollution. Thermochemical hydrogen production by nuclear energy has potential to efficiently produce large quantities of hydrogen without producing greenhouse gases, and research of nuclear hydrogen, therefore, has been worked with goal to demonstrate commercial production in 2020. The oil refineries and petro-chemical plant are very large, centralized producers and users of industrial hydrogen, and high-potential early market for hydrogen produced by nuclear energy. Therefore, it is essential to investigate and analyze for state of domestic hydrogen market focused on industrial users. Hydrogen market of petro-chemical industry as demand site was investigated and worked for demand forecast of hydrogen in 2020. Also we suggested possible supply plans of nuclear hydrogen considered regional characteristics and then it can be provided basis for determination of optimal capacity of nuclear hydrogen plant in 2020.

호텔, 병원, 업무용 건물의 에너지 부하 특성 비교 (Comparison of Energy Demand Characteristics for Hotel, Hospital, and Office Buildings in Korea)

  • 박화춘;정모
    • 설비공학논문집
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    • 제21권10호
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    • pp.553-558
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    • 2009
  • Energy demand characteristics of hotel, hospital, and office building are compared to provide guidelines for combining building in community energy system design. The annual, monthly, and daily energy demand patterns for electricity, heating, hot water and cooling are qualitatively compared and important features are delineated based on the energy demand models. Key statistical values such as the mean, the maximum are also provided. Important features of the hourly demand patterns are summarized for weekdays and weekends. Substantial variations in both magnitudes and patterns are observed among the 3 building types and smart grouping or combination of building type and size is essential for a successive energy supply.