• Title/Summary/Keyword: industrial district

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

  • Jung, Sang-Hoon;Moon, Youn-Jin;Ha, Jae-Sun;Cho, Sung-Hwan
    • Proceedings of the SAREK Conference
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    • 2009.06a
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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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Consideration of wind power as an alternative way of electricity supply to Kaesong industrial district (개성공단 전력 공급 대안으로서의 풍력 에너지 고찰)

  • Kim, Ji-Hyo;Sin(Kim), Hwa-Young;Heo, Eun-Nyeong
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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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
    • Journal of Korean Institute of Industrial Engineers
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    • v.4 no.2
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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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Prediction of Lightning Damages and Maintenance of Distribution Line Equipments Using LPATS (LPATS를 이용한 배전설비 뇌해예측 및 보수운용)

  • Kim, Tae-Ik;Choi, Dong-Ho;Kim, Se-Ho;An, Jin-Ho
    • Proceedings of the KIEE Conference
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    • 1999.07c
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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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A Study on the Neighborhood Living Boundary Composition of Chun-Cheon City - Focused on the Primary School Attendanced Area - (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 -)

  • Kim, Nam-Gak;Han, Ki-Won;Nam, Hyung-woo;Lee, Sang-Young;Kim, Chung-Seob
    • Journal of Industrial Technology
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    • v.14
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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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    • v.11 no.4
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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.

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

  • Song, Ki-Burm;Park, Jin-Soo;Kim, Yun-Bae;Jung, Chul-Woo;Park, Chan-Min
    • IE interfaces
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    • v.24 no.4
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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.

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- (지식산업센터 배치유형과 외부공간구성 요소 변화에 관한 연구 -서울 구로구와 금천구 준공업지역을 중심으로-)

  • Lee, Sang-Kyoon;Oh, Joon-Gul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.10
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    • pp.6344-6353
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    • 2014
  • According to the changes in society, the knowledge industrial center, which is a factory related to the manufacturing industry, is now including various programs, such as information and communication knowledge. This study defined the knowledge industrial center related law into three periods: deduct layout planning type and outside space composition elements by previous research; case analysis; and suggestions of the direction of layout planning and outside space plan. As a result of the analysis, first, before 1999, the layout of the building is made mainly with a car, but depending on the form of the site, it is configured as a centered, side layout. Second, in the case of distribution, the support facility on the lower part is integrated and the factory on the higher part is distributed, so it is partly integrated and the building is unified. Third, beginning with the activation of privately owned public space in a semi-industrial district according to architecture regulations in 1999, the outside space is wider but the construction area is reduced, so the outside space composition has been changing in a similar manner to the planning methods of business facilities, such as office buildings.

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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    • v.8 no.1
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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.