• Title/Summary/Keyword: City Gas

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Development of Corrosion Defect Assessment Method for City Gas Pipeline (도시가스배관 부식결함 평가방안 개발)

  • Kim, Cheol-Man;Kim, Woo-Sik;Han, Sang-In;Choi, Song-Chun
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.228-233
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    • 2004
  • The length of city gas pipeline is increasing with expansion of natural gas transmission rapidly. A lot of the expense was paid for repair and maintenance with increasing of pipeline length and the cost of repair and maintenance by the corrosion was the highest. It is necessary to evaluate integrity in case of thickness reduction by corrosion. There are a lot of assessment criteria for corrosion defect in foreign countries but they are not suitable for application in the country directly. In this work, we performed the burst test and the finite element analysis for city gas pipeline, KS D3507 and KS D3631 for city gas transmission, and developed the assessment method of corrosion defect, which is suitable for domestic condition.

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A Study on the Prediction of City Gas Accident Damage by Consequence Analysis (Consequence Analysis를 통한 도시가스 사고 피해 예측에 관한 연구)

  • An, Jung-sik;Kim, Jihye;Yu, Jihoon;Kim, Jongkyoung;Kang, Subi;Cho, Donghyun
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.36-40
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    • 2022
  • Recently, the biggest topic in the industry is the area of industrial safety and health management. Since city gas is flammable gas and has a high risk of fire and explosion, much effort is required to prevent serious industrial and citizenry disasters. As part of city gas safety management, this study attempted to quantitatively predict the scope and degree of damage in the event of an explosion accident caused by city gas leakage through the Consequence Analysis. As a result, there was a difference in the accident result value according to various leakage conditions such as pressure and weather conditions. Through this study, a scenario of explosion due to city gas leakage will be prepared when performing city gas safety management work and used to prepare more effective accident prevention and emergency action plans.

Developing Mobile Safety Management System for City-Gas Supply Facilities (도시가스 공급시설을 위한 모바일 안전관리 시스템 개발)

  • Oh, Jeong-Seok;Sung, Jong-Gyu;Park, Jang-Sik;Kim, Ji-Yoon
    • Journal of the Korean Institute of Gas
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    • v.15 no.6
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    • pp.1-7
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    • 2011
  • The Measurement of risk parameter in city-gas equipments have been measured and confirmed by human, and evolved into remote monitoring system using wireless communication. Furthermore, domestic and international industry increase the efficiency of management, which can develop remote monitoring and control system using wireless communication. However, Those wireless system might be decrease the efficiency and ease because of connecting PDA and lap-top using wire-cable when data have checked immediately from outside. This paper is able to improve efficiency of safety management on city-gas equipments by developing mobile city-gas safety management system on AR.

Developing Network Infrastructure and Smart Service for Safety Management of City-gas Facilities (도시가스 시설 안전관리를 위한 네트워크 인프라 및 지능형 서비스 구축)

  • Oh, Jeong-Seok;Sung, Jong-Gyu;Kim, Young-Dae
    • Journal of the Korean Institute of Gas
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    • v.15 no.1
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    • pp.46-53
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    • 2011
  • The information technology paradigm has been shift to smart service environment, as ubiquitous technology is used in the latest industry trend. The convergency between industry facilities and ubiquitous technologies accelerate related studies and technologies because of increasing accident prevention and decreasing cost. However, ubiquitous technologies are not used to life environment and industry facilities, because those technologies did not consider industry domain characteristics by means of developing IT technology for common environment until now. This paper aims to develop wireless city gas safety management system, which provide efficient service, and establish the field oriented wireless data transmission infrastructure in order to use ubiquitous technology to city gas facilities.

Frequence Analysis for City Gas Pipeline (도시가스 배관의 설비손상확률평가)

  • Park Kyo-Shik;Lee Jin-Han;Jo Young-Do;Park Jin-Hee
    • Journal of the Korean Institute of Gas
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    • v.7 no.2 s.19
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    • pp.14-21
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    • 2003
  • Frequency analysis of city gas pipeline was studied and then the method to give frequencies of failure by the third-party digging, corrosion, ground movement, and equipment failure which were known to be the major cause of risk of city gas pipeline. The failure by the third-party digging was analyzed by fault tree analysis and the failure by corrosion was analyzed by applying equation calculating remaining strength with time. The failure by ground movement was evaluated by applying modified model which was induced through weighing factors with basic failure rate model. The failure rate of equipment was calculated with both generic and specific data

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Deep Learning Forecast model for City-Gas Acceptance Using Extranoues variable (외재적 변수를 이용한 딥러닝 예측 기반의 도시가스 인수량 예측)

  • Kim, Ji-Hyun;Kim, Gee-Eun;Park, Sang-Jun;Park, Woon-Hak
    • Journal of the Korean Institute of Gas
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    • v.23 no.5
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    • pp.52-58
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    • 2019
  • In this study, we have developed a forecasting model for city- gas acceptance. City-gas corporations have to report about city-gas sale volume next year to KOGAS. So it is a important thing to them. Factors influenced city-gas have differences corresponding to usage classification, however, in city-gas acceptence, it is hard to classificate. So we have considered tha outside temperature as factor that influence regardless of usage classification and the model development was carried out. ARIMA, one of the traditional time series analysis, and LSTM, a deep running technique, were used to construct forecasting models, and various Ensemble techniques were used to minimize the disadvantages of these two methods.Experiments and validation were conducted using data from JB Corp. from 2008 to 2018 for 11 years.The average of the error rate of the daily forecast was 0.48% for Ensemble LSTM, the average of the error rate of the monthly forecast was 2.46% for Ensemble LSTM, And the absolute value of the error rate is 5.24% for Ensemble LSTM.

Development of an Integrity Evaluation Program for Corroded City Gas Pipelines

  • Shim, D.J.;Yun, K.O.;Choi, J.B.;Kim, Y.J.;Kim, W.S.;Choi, S.C.
    • Corrosion Science and Technology
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    • v.4 no.4
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    • pp.164-170
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    • 2005
  • Pipelines have the highest capacity and are the safest and the least environmentally disruptive means for transmitting gas or oil. Recently, failures due to corrosion defects have become a major concern in maintaining pipeline integrity. A number of solutions have been developed for the assessment of remaining strength of corroded pipelines. In this paper, a Fitness-For-Purpose(FFP) type limit load solution for corroded city gas pipelines is proposed. For this purpose, a series of burst tests with various types of machined defects were performed. Finite element simulations were carried out to derive an appropriate failure criterion. Based on such solution along with existing solutions, an integrity evaluation program for corroded city gas pipeline, COPAP-CITY, has been developed.

Forecasting Daily Demand of Domestic City Gas with Selective Sampling (선별적 샘플링을 이용한 국내 도시가스 일별 수요예측 절차 개발)

  • Lee, Geun-Cheol;Han, Jung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6860-6868
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    • 2015
  • In this study, we consider a problem of forecasting daily city gas demand of Korea. Forecasting daily gas demand is a daily routine for gas provider, and gas demand needs to be forecasted accurately in order to guarantee secure gas supply. In this study, we analyze the time series of city gas demand in several ways. Data analysis shows that primary factors affecting the city gas demand include the demand of previous day, temperature, day of week, and so on. Incorporating these factors, we developed a multiple linear regression model. Also, we devised a sampling procedure that selectively collects the past data considering the characteristics of the city gas demand. Test results on real data exhibit that the MAPE (Mean Absolute Percentage Error) obtained by the proposed method is about 2.22%, which amounts to 7% of the relative improvement ratio when compared with the existing method in the literature.

MODELING AND SIMULATION FOR GAS PIPELINE SYSTEMS

  • Yoshida, Makoto;Kawato, Takashi;Fujita, Toshinori;Kawashima, Kenji;Kagawa, Toshiharu
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.335-339
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    • 2001
  • City gas is one of the most important necessities of daily city life and social infrastructures. City gas is delivered to every user through a pipeline network. The gas pressure in the pipeline is regulated by gas regulator. In the pressure control system, characteristics of gas pipeline is as important as characteristics of regulator. There are many reports about the transfer function model of the fluid pipeline. But suitable model about the gas transmission pipeline is not known. In this paper, as the transfer function model of the gas pipeline, new model considering the heat transfer between pipe wall and gas and temperature change of gas is proposed. To evaluate this model, frequency response tests are used. As the result, the proposed model shows a better agreement when compared with the experimental result than conventional models. The results show the effectiveness of the model.

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Analysis of Determinants of Civilian City Gas Demand Considering Spatial Correlation (공간적 상관성을 고려한 민수용 도시가스 수요결정 요인 분석)

  • Eunbi Park;DooHwan Won
    • Environmental and Resource Economics Review
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    • v.33 no.1
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    • pp.59-86
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    • 2024
  • Recently, research on city gas demand is increasing by reflecting the characteristics of each region. The similarity of the social structure of the adjacent region and the density of the supply infrastructure induce spatial correlation with the clustering that has a microscopic relationship between regions. Accordingly, as a result of analyzing the spatial correlation after dividing the demand for city gas for civilian use into a total of 54 regions based on the jurisdiction of 34 city gas companies, it was confirmed that there was a positive spatial correlation from a global and local perspective. In this study, the demand for city gas for civilian use for 54 regions from January 2014 to December 2022 was composed of panel data, and the spatial panel regression analysis and the general panel regression analysis were compared, and it was found that the spatial error model (SEM) was the most suitable model. This presents policy and practical implications by confirming that the demand for city gas for civilian use in one region has a significant relationship with the adjacent region.