• Title/Summary/Keyword: forecast supply

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

  • Lee, Sang-Guk;Choi, Kwang-Hee
    • Journal of Power System Engineering
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    • v.17 no.4
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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.

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

  • Kim, Hyun Seok
    • Current Research on Agriculture and Life Sciences
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    • v.32 no.4
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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
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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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.

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

  • Lim, Mee-Sook;Bang, Jin-Hwan;Oh, Jeon-Keun;Yoon, Young-Seek
    • Transactions of the Korean hydrogen and new energy society
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    • v.17 no.1
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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.

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

  • Eum, Ji-Young;Choi, Hyeong-Jin;Cho, Soo-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.3
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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.

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

  • Lee, Kang-Hee;Yang, Jae-Hyuk;Ryu, U-Sang
    • KIEAE Journal
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    • v.10 no.1
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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
    • International conference on construction engineering and project management
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    • 2005.10a
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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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A Study on the Military Service Substitution Institutional Plan for the Agriculture and Fisheries Successor (후계농어업인 병역대체제도 도입방안에 관한 연구)

  • Kwon, Y.H.;Suh, G.S.;Park, S.Y.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.12 no.1
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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.

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

  • Han, Nam-Gyu;Kim, Bong-Hyun
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.83-91
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    • 2021
  • For agricultural products, supply is irregular due to changes in meteorological conditions, and it has high price elasticity. For example, if the supply decreases by 10%, the price increases by 50%. Due to these fluctuations in the prices of agricultural products, the Korean government guarantees the safety of prices to producers through small merchants' auctions. However, when prices plummet due to overproduction, protection measures for producers are insufficient. Therefore, in this paper, we designed a business model that can be used in the electronic transaction system by predicting the price of agricultural products with an artificial intelligence algorithm. To this end, the trained model with the training pattern pairs and a predictive model was designed by applying ARIMA, SARIMA, RNN, and CNN. Finally, the agricultural product forecast price data was classified into short-term forecast and medium-term forecast and verified. As a result of verification, based on 2018 data, the actual price and predicted price showed an accuracy of 91.08%.

The Simulation and Forecast Model for Human Resources of Semiconductor Wafer Fab Operation

  • Tzeng, Gwo-Hshiung;Chang, Chun-Yen;Lo, Mei-Chen
    • Industrial Engineering and Management Systems
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    • v.4 no.1
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    • pp.47-53
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    • 2005
  • The efficiency of fabrication (fab) operation is one of the key factors in order for a semiconductor manufacturing company to stay competitive. Optimization of manpower and forecasting manpower needs in a modern fab is an essential part of the future strategic planing and a very important to the operational efficiency. As the semiconductor manufacturing technology has entered the 8-inch wafer era, the complexity of fab operation increases with the increase of wafer size. The wafer handling method has evolved from manual mode in 6-inch wafer fab to semi-automated or fully automated factory in 8-inch and 12-inch wafer fab. The distribution of manpower requirement in each specialty varied as the trend of fab operation goes for downsizing manpower with automation and outsourcing maintenance work. This paper is to study the specialty distribution of manpower from the requirement in a typical 6-inch, 8-inch to 12-inch wafer fab. The human resource planning in today’s fab operation shall consider many factors, which include the stability of technical talents. This empirical study mainly focuses on the human resource planning, the manpower distribution of specialty structure and the forecast model of internal demand/supply in current semiconductor manufacturing company. Considering the market fluctuation with the demand of varied products and the advance in process technology, the study is to design a headcount forecast model based on current manpower planning for direct labour (DL) and indirect labour (IDL) in Taiwan’s fab. The model can be used to forecast the future manpower requirement on each specialty for the strategic planning of human resource to serve the development of the industry.