• 제목/요약/키워드: Industrial district

검색결과 331건 처리시간 0.028초

지역난방 공동주택 시스템에서 Smith Predictor 제어기 적용성 연구 (Strategy to Maintain the Smith Predictor Controller in the District Heating System for Apartment Buildings)

  • 정상훈;문연진;하재순;조성환
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2009년도 하계학술발표대회 논문집
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    • pp.1025-1030
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    • 2009
  • It is known that the classical tuning formula for typical PID controllers in general provides unsatisfactory results for industrial plants where the time delay exceeds the dominant lag time. For this reason, alternative strategies have been studied in order to cope with this problem and the most popular scheme is the Smith Predictor(SP). In this paper, the dynamic model of a unit apartment in the district heating system, which is the control process effected by the dead-time, is developed, and the on/off room temperature control method with the SP simulate using Matlab-Simulink. The simulation results show that the SP works effectively in outdoor temperature variation.

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개성공단 전력 공급 대안으로서의 풍력 에너지 고찰 (Consideration of wind power as an alternative way of electricity supply to Kaesong industrial district)

  • 김지효;김화영;허은녕
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 춘계학술대회 논문집
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    • pp.111-114
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    • 2008
  • 지난 2005년부터 남한은 개성공단에 배전 및 송전 방식을 통하여 전력을 공급해왔다. 개성공단 전력 공급은 정치적으로 민감한 사안이며, 많은 비용이 소요되기 때문에 논란의 대상이 되고 있다. 따라서 개성공단 2단계 사업 및 여타의 다른 남북경협 사업을 앞두고 대북 전력 공급의 여러 대안에 대한 연구가 필요하다. 본 연구에서는 개성공단에 전력을 공급할 경우 가능한 대안들의 정성적인 특성을 분석하여 바람직한 대안들을 선정해보았다. 선정된 대안은 대북 송전, 해주 발전소 건설, 풍력 에너지 공급인데, 이 중 풍력발전시설 지원이 가장 경제적인 대안이라는 결론을 얻을 수 있었다.

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A Mathematical Model of a Central District Heating System for an Urban Residential Community

  • Yoo, Beyong-Woo
    • 대한산업공학회지
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    • 제4권2호
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    • pp.97-105
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    • 1978
  • A mathematical model is developed in order to describe the network configuration and heating distribution to a Central District Heating System for an Urban Residential Community. The purpose of using this model is to optimize operating costs and to distribute heat to the Residential Community efficiently. In particular, because of the inherent nonlinearity and dual optimization of the problem a dyamic programming approach is taken. It is turned out that the optimal cost of the system is a strong non-linear function of the network. In particular, it is found that increasing N, the number of houses, may not necessarily imply increased costs. It is felt that past failure of producing economical systems may be due to the improper attention given to the network.

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LPATS를 이용한 배전설비 뇌해예측 및 보수운용 (Prediction of Lightning Damages and Maintenance of Distribution Line Equipments Using LPATS)

  • 김태익;최동호;김세호;안진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 C
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    • pp.1444-1446
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    • 1999
  • In the calculation of lightning-induced voltage, it is used the various parameters obtained by LPATS being operated in KEPCO from 1995. Based on the lightning-induced voltage and the exact lightning position acquired by the developed program, we can predict the extent of damages in distribution systems. The result in this paper is very useful in finding fault location by lightning and performing rapid outage recovery and maintenance of distribution line equipments.

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춘천시(春川市) 근린생활권(近隣生活圈) 구성(構成)에 관(關)한 연구(硏究) - 국민학교(國民學校) 통학구역(通學區域)을 중심(中心)으로 - (A Study on the Neighborhood Living Boundary Composition of Chun-Cheon City - Focused on the Primary School Attendanced Area -)

  • 김남각;한기원;남형우;이상영;김충섭
    • 산업기술연구
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    • 제14권
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    • pp.29-38
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    • 1994
  • Neighborhood living boundary plan is offerd amenity living environment to inhabitants. This plan is contained that district unit division, appropriate living facilities disposition, and that one of the urban elementary plan in city political activities. The theme is on the primary School attendanced area in chun-cheon city, and analysis school attendanced area as an administrative district.

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Location Analysis for Emergency Medical Service Vehicle in Sub District Area

  • Nanthasamroeng, Natthapong
    • Industrial Engineering and Management Systems
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    • 제11권4호
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    • pp.339-345
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    • 2012
  • This research aims to formulate a mathematical model and develop an algorithm for solving a location problem in emergency medical service vehicle parking. To find an optimal parking location which has the least risk score or risk priority number calculated from severity, occurrence, detection, and distance from parking location for emergency patients, data were collected from Pratoom sub-district Disaster Prevention and Mitigation Center from October 2010 to April 2011. The criteria of risk evaluation were modified from Automotive Industry Action Group's criteria. An adaptive simulated annealing algorithm with multiple cooling schedules called multi-agent simulated quenching (MASQ) is proposed for solving the problem in two schemes of algorithms including dual agent and triple agent quenching. The result showed that the solution obtained from both scheme of MASQ was better than the traditional solution. The best locations obtained from MASQ-dual agent quenching scheme was nodes #5 and #133. The risk score was reduced 61% from 6,022 to 2,371 points.

지식산업센터 배치유형과 외부공간구성 요소 변화에 관한 연구 -서울 구로구와 금천구 준공업지역을 중심으로- (Study of the Changes in Knowledge Industrial Center Layout Planning Types and Outside Space Composition Elements -Focusing on Guro-gu and Geumcheon-gu in semi-industrial district in Seoul-)

  • 이상균;오준걸
    • 한국산학기술학회논문지
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    • 제15권10호
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    • pp.6344-6353
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    • 2014
  • 지식산업센터는 제조업의 공장 중심에서 산업과 사회의 변화로 지식기반 및 정보통신 등 다양한 용도를 포함하게 되었다. 본 연구는 지식산업센터 관련 제도를 바탕으로 세 시기로 구분하며 선행연구를 통해 배치유형과 외부공간구성요소를 도출하고 사례를 분석하여 배치와 외부공간계획의 기본 방향을 제시하고자 한다. 연구결과, 첫째, 1999년 이전에는 차량중심으로 건물배치가 이루어졌지만 대지의 형태에 따라 중앙배치, 편측배치로 이루어졌다. 둘째, 분산배치는 저층부인 지원시설을 통합하고 고층부 공장동을 분산배치하여 부분통합배치로 건물의 단일화가 이루어졌다. 셋째, 1999년 개정된 건축법에 의해 준공업지역의 공개공지 활성화를 시작으로 외부공간이 넓어지고 건축면적이 줄어들면서 외부공간구성이 오피스나 오피스텔과 같은 업무시설의 계획기법과 유사하게 변화되고 있다.

지역 난방을 위한 열 수요예측 (Heat Demand Forecasting for Local District Heating)

  • 송기범;박진수;김윤배;정철우;박찬민
    • 산업공학
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    • 제24권4호
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    • pp.373-378
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    • 2011
  • High level of accuracy in forecasting heat demand of each district is required for operating and managing the district heating efficiently. Heat demand has a close connection with the demands of the previous days and the temperature, general demand forecasting methods may be used forecast. However, there are some exceptional situations to apply general methods such as the exceptional low demand in weekends or vacation period. We introduce a new method to forecast the heat demand to overcome these situations, using the linearities between the demand and some other factors. Our method uses the temperature and the past 7 days' demands as the factors which determine the future demand. The model consists of daily and hourly models which are multiple linear regression models. Appling these two models to historical data, we confirmed that our method can forecast the heat demand correctly with reasonable errors.

District Energy Use Patterns and Potential Savings in the Built Environment: Case Study of Two Districts in Seoul, South Korea

  • Lee, Im Hack;Ahn, Yong Han;Park, Jinsoo;Kim, Shin Do
    • Asian Journal of Atmospheric Environment
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    • 제8권1호
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    • pp.48-58
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    • 2014
  • Energy efficiency is vital to improve energy security, environmental and social sustainability, and economic performance. Improved energy efficiency also mitigates climate change by lowering greenhouse gas (GHG) emissions. Buildings are the single largest industrial consumer of energy and are therefore key to understanding and analyzing energy consumption patterns and the opportunities for saving energy at the district level in urban environments. This study focused on two representative boroughs in the major metropolitan area of Seoul, South Korea as a case study: Gandong-gu, a typical residential district, and Jung-gu, a typical commercial district. The sources of the energy supplied to the boroughs were determined and consumption patterns in different industry sectors in Seoul used to identify current patterns of energy consumption. The study analyzed the energy consumption patterns for five different building categories and four different sectors in the building using a bottom-up energy modeling approach. Electricity and gas consumption patterns were recorded for different building categories and monthly ambient temperatures in the two boroughs. Finally, a logarithmic equation was developed to describe the correlation between commercial activity and cooling energy intensity in Jung-gu, the commercial district. Based on these results, recommendations are made regarding the current energy consumption patterns at the district level and government energy policies are suggested to reduce energy consumption and, hence, greenhouse gas emissions, in both commercial and residential buildings.