• 제목/요약/키워드: forecast supply

검색결과 251건 처리시간 0.023초

원자력발전소 비상디젤발전기 상태감시를 위한 운전인자 선정에 관한 연구 (Selection and Analysis of Operating Parameters for Condition Monitoring of Emergency Diesel Generator at Nuclear Power Plant)

  • 박종혁;최광희;이상국;박종은
    • 동력기계공학회지
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    • 제11권3호
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    • pp.3-8
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    • 2007
  • The emergency AC power supply system of the nuclear power plant is designed to supply the power to the nuclear reactor at the emergency operating condition. The safety function of the diesel generator at the nuclear power plant is to supply AC electric power to the plant safety system whenever the preferred AC power supply is unavailable. The reliable operation of onsite emergency diesel generator should be ensured by a conditioning monitoring system designed to maintain and monitor and forecast the reliability level of diesel generator. To do this kind of diesel generator condition monitoring we reviewed several operating factors and history of the wolsong unit 3 diesel generator and selected the proper conditioning monitoring operating factors.

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비상디젤발전기 엔진 상태진단 초음파 탐촉자 개발 (Development of Ultrasonic Sensor for Engine Condition Diagnosis of EDG)

  • 이상국;최광희
    • 동력기계공학회지
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    • 제17권4호
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    • pp.31-35
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    • 2013
  • The emergency AC power supply system of the nuclear power plant is designed to supply the power to the nuclear power plant at the emergency operating condition. The safety function of the diesel generator at the nuclear power plant is to supply AC electric power to the safety system whenever the preferred AC power supply is unavailable. The reliable operation of onsite standby diesel generator should be ensured by a condition monitoring system designed to maintain, monitor and forecast the reliability level of diesel generator. The purpose of this paper is to improve the existing ultrasonic sensor used for condition diagnosis of engine fuel pump and cylinder head for the accurate diagnosis in actual engine condition of emergency diesel generator(EDG). As a result of this study, we could design and develop much more reliable ultrasonic sensor than existing ones.

신재생에너지의 온실가스감축 기여도에 따른 지역별 보급전략 (Regional Supply Strategies for Renewable Energy Sources based on Contribution Level of GHG Emission Reduction)

  • 김현석
    • Current Research on Agriculture and Life Sciences
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    • 제32권4호
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    • pp.215-223
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    • 2014
  • This study examines the contribution level of greenhouse gas(GHG) emission reduction and installation costs of renewable energy facilities. The GHG emission forecasts and industrial structures in the 16 regions of Korea are then analyzed to identify the proper supply of renewable energy sources for each region. The results show that water power is the most effective and efficient renewable energy source to reduce GHG emissions, followed by sunlight, wind power, geothermal heat, and solar heat, respectively. The 16 regions are then categorized into 4 groups based on their GHG emission forecast and industrial structure: high emission and manufacturing group, low emission and manufacturing group, low emission and service group, and high emission and service group. The proper supply of renewable energy sources for each group is then determined based on the contribution level and cost efficiency of GHG emission reduction.

Monthly Hanwoo supply and forecasting models

  • Hyungwoo, Lee;Seonu, Ji;Tongjoo, Suh
    • 농업과학연구
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    • 제48권4호
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    • pp.797-806
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    • 2021
  • As the number of scaled-up ranches increased and agile responses to market changes became possible, decision-making by Hanwoo cattle farms also began to affect short-term shipments. Considering the changing environment of the Hanwoo supply market and the response speed of producers, it is necessary quickly to grasp the forecast ahead of time and to respond accordingly in an effort to stabilize supply and demand in the Hanwoo market. In this study, short-term forecasting model centered on the supply of Hanwoo was established. The analysis conducted here indicates that the slaughter of Hanwoo males increases by 0.248 as the number of beef cattle raised over 29 months of age in the previous month increases by one, and 0.764 Hanwoo females were slaughtered under average conditions for every Hanwoo male slaughtered. With regard to time, the slaughtering of Hanwoo was higher in January and August, which are months known for holiday food preparation activities for the New Year and Chuseok in Korea, respectively. Simulations indicated that errors were within 10% in all simulations performed through the Hanwoo supply model. Accordingly, it is considered that the estimation results from the supply model devised in this study are reliable and that the model has good structural stability.

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.

기상정보를 활용한 도시규모-EMS용 태양광 발전량 예측모델 (PV Power Prediction Models for City Energy Management System based on Weather Forecast Information)

  • 엄지영;최형진;조수환
    • 전기학회논문지
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    • 제64권3호
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    • pp.393-398
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    • 2015
  • City or Community-scale Energy Management System(CEMS) is used to reduce the total energy consumed in the city by arranging the energy resources efficiently at the planning stage and controlling them economically at the operating stage. Of the operational functions of the CEMS, generation forecasting of renewable energy resources is an essential feature for the effective supply scheduling. This is because it can develop daily operating schedules of controllable generators in the city (e.g. diesel turbine, micro-gas turbine, ESS, CHP and so on) in order to minimize the inflow of the external power supply system, considering the amount of power generated by the uncontrollable renewable energy resources. This paper is written to introduce numerical models for photo-voltaic power generation prediction based on the weather forecasting information. Unlike the conventional methods using the average radiation or average utilization rate, the proposed models are developed for CEMS applications using the realtime weather forecast information provided by the National Weather Service.

공동주택 난방방식별 전력에너지 소비량 추정모델 작성 연구 (A Study on the Estimation model of the Amount of the Electric Energy Consumption according to the Apartment Heating Type)

  • 이강희;양재혁;유우상
    • KIEAE Journal
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    • 제10권1호
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    • pp.57-64
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    • 2010
  • Electric energy is indispensible of the development of the industrial and living sector. Among the energy sectors, the building area shares 20% of the produced electric power in Korea. As we plan to supply the apartment, we need to forecast the required amount of the electric energy and supply the infrastructure to apartment for the lighting, cooling. Nonetheless, it is not easy to forecast the required amount of the electric energy, considering the management aspect, building physical aspect and social-geographic aspect. In this paper, it studied the estimation model of the electric energy, reflecting the affecting variables such as total area, number of household, geography and so on. The estimation model is proposed in 3-types which explained in central heating, individual heating and district heating, and each type have two estimation model, reflecting the affecting variable and corelation between variables to eliminate the muticolinearity. The unit of electric energy consumption per area and year is similar in three heating type and the results are as follows; the central heating is $34.446kWh/yr{\cdot}m^2$, individual type is $35.756446kWh/yr{\cdot}m^2$ and district heating is $34.285446kWh/yr{\cdot}m^2$.

KOREAN CONSTRUCTION JOB MARKET FORECAST FOR CIVIL/ARCHITECTURAL ENGINEERS

  • Hwan Pyo Park;Myung Jin Chae;Minwoo Lee
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.952-955
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    • 2005
  • In the early 90's, we had serious shortage of construction engineers in Korea. The shortage was acute especially in construction quality control and supervision area, which were gaining social attention due to the road bridge and the department store collapse that took the hundreds of lives in the early 90's in Seoul, Korea. In order to meet the high demand of construction engineers, the engineering license regulations were changed in 1995. Engineers who did not pass the written exam but have equivalent working experience are given engineering license to practice engineering legally. Since year 2000, while the severe engineer-shortage has been resolved, the opposite situation has occurred: there is serious over-supply of construction engineers. Policy makers and engineering practitioners are agreed to bring back the old-fashioned written exam engineer licensing system like before 1995, i.e., no more written exam exemption. However, the engineers who obtained license without taking written exam may not want to go back to old policy which would take their license. It is required to provide appropriate grace period before the new policy takes effect to minimize the impact of the changes. This paper forecasts the supply-demand of construction engineers providing the basis for the most appropriate policy changes.

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후계농어업인 병역대체제도 도입방안에 관한 연구 (A Study on the Military Service Substitution Institutional Plan for the Agriculture and Fisheries Successor)

  • 권영휴;서규선;박석영
    • 현장농수산연구지
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    • 제12권1호
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    • pp.79-93
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    • 2010
  • Korea National College of Agriculture and Fisheries start school at 1997 and 10 for 2,066 people graduate and is becoming the help in youth agriculture and fishery manager education. But recently according to industrial functional staff institutional abolition policy of the government is forecast with the fact that will have a failure to agriculture and fishery manager education. Korea National College of Agriculture and Fisheries was founded for a succession agriculture and fishery manager education. When but while attending military service is under and the education which is continuous is difficult. When after college graduating the reeducation for the agriculture which goes to the military service is necessary. Also Part of the graduate can not participate to agriculture and fishery. This is consistency lack of governmental policy and there is worry which will be criticized. According to FTA agreements the damage is forecast in agriculture and Fisheries. Also prevents the instability of the food supply and which follows in global environment change, respects the stable supply of the foodstuffs which is safe from the agriculture and Fisheries support of the nation is necessary. Consequently proposed the military service substitution institutional plan for the agriculture fishery successor.

농산물 AI 가격 예측을 통한 전자거래 비즈니스 모델 설계 (Design of e-commerce business model through AI price prediction of agricultural products)

  • 한남규;김봉현
    • 한국융합학회논문지
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    • 제12권12호
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    • pp.83-91
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    • 2021
  • 농산물은 기상, 기후 등의 변화로 인해 공급이 불규칙하고, 공급량이 10% 하락하면 가격이 50% 상승하는 가격 탄력성이 매우 높다. 이러한 농산물 가격의 변동으로 인해 소상인의 경매를 통해 생산자에게 대금의 안전성을 보장하고 있다. 그러나, 과잉생산으로 가격이 폭락할 경우, 생산자에 대한 보호 조치는 미비한 실정이다. 따라서, 본 논문에서는 농산물에 대한 가격을 인공지능 알고리즘으로 예측하여 전자거래 시스템에 활용할 수 있는 비즈니스 모델을 설계하였다. 이를 위해, 학습 패턴 쌍으로 모델을 학습시키고, ARIMA, SARIMA, RNN, CNN을 적용하여 예측 모델을 설계하였다. 최종적으로, 농산물 예측가격 데이터를 단기예측과 중기예측으로 분류하여 검증하였다. 검증 결과, 2018년 데이터를 기반으로 실제 가격과 예측 가격이 91.08%의 정확도를 나타냈다.