• 제목/요약/키워드: LNG Plant

검색결과 179건 처리시간 0.029초

HAZOP을 통한 해양플랜트 흡착식 탈수공정 패키지의 위험성평가 및 안전도 향상 방안 (A Case Study on the Risk Assessment for Offshore Plant Solid Desiccant Dehydration Package by using HAZOP)

  • 노현정;박상현;조수길;강관구;김형우
    • 한국산업융합학회 논문집
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    • 제23권4_2호
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    • pp.569-581
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    • 2020
  • Since the dehydration packages of offshore plant deal directly with oil & gas, there is a great risk of fire and explosion during operation. Therefore, this study performed risk assessment through HAZard & OPerability (HAZOP) for solid desiccant dehydration package that can remove water component of natural gas in offshore floating liquefied natural gas (LNG) production facilities below 0.1 ppmv. The risk matrix was determined by dividing the likelihood and the severity into five levels separately by asset, life, environment and reputation. The piping & instrumentation diagram (P&ID) of the dehydration package was divided into 9 nodes. Total 22 deviations were assessed in consideration of the adsorption and desorption conversion cycle. A risk assessment based on deviations revealed 14 major hazards. Three representative types of hazards were open/close failure of the control valve, control failure of the heater, and abnormal operation of the regeneration gas cooler. Finally, we proposed the installation of additional safety devices to improve safety against these major hazards, such as safety instrumented functions, alarms, etc.

Floating Gas Power Plants

  • Kim, Hyun-Soo
    • 한국산업융합학회 논문집
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    • 제23권6_1호
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    • pp.907-915
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    • 2020
  • Specification selection, Layout, specifications and combinations of Power Drives, and Ship motions were studied for FGPP(Floating Gas-fired Power Plants), which are still needed in areas such as the Caribbean, Latin America, and Southeast Asia where electricity is not sufficiently supplied. From this study, the optimal equipment layout in ships was derived. In addition, the difference between engine and turbine was verified through LCOE(Levelized Cost of Energy) comparison according to the type and combination of Power Drives. Analysis of Hs(Significant Height of wave) and Tp(spectrum Peak Period of wave) for places where this FGPP will be tested or applied enables design according to wave characteristics in Brazil and Indonesia. Normalized Sloshing Pressures of FGPP and LNG Carrier are verified using a sloshing analysis program, which is CFD(Computational Fluid Dynamics) software developed by ABS(American Bureau of Shipping). Power Transmission System is studied with Double bus with one Circuit Breaker Topology. A nd the CFD analysis allowed us to calculate linear roll damping coefficients for more accurate full load conditions and ballast conditions. Through RAO(Response Amplitude Operator) analysis, we secured data that could minimize the movement of ships according to the direction of waves and ship placement by identifying the characteristics of large movements in the beam sea conditions. The FGPP has been granted an AIP(Approval in Principle) from a classification society, the ABS.

KOGAS DME 공정의 실증 시험을 통한 최적화 기술개발 (Optimization of KOGAS DME Process From Demonstration Long-Term Test)

  • 정종태;조원준;백영순;이창하
    • 한국수소및신에너지학회논문집
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    • 제23권5호
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    • pp.559-571
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    • 2012
  • Dimethyl ether (DME) is a new clean fuel as an environmentally-benign energy resource. DME can be manufactured from various energy sources including natural gas, coal, and biomass. In addition to its environmentally friendly properties, DME has similar characteristics to those of LPG. The aim of this article is to represent the development of new DME process with KOGAS's own technologies. KOGAS has investigated and developed new innovative DME synthesis process from synthesis gas in gaseous phase fixed bed reactor. DME has been traditionally produced by the dehydration of methanol which is produced from syngas, a product of natural gas reforming. This traditional process is thus called the two-step method of preparing DME. However, DME can also be manufactured directly from syngas (single-step). The single-step method needs only one reactor for the synthesis of DME, instead of two for the two-step process. It can also alleviate the thermodynamic limitations associated with the synthesis of methanol, by converting the produced methanol into DME, thereby potentially enhancing the overall conversion of syngas into DME. KOGAS had launched the 10 ton/day DME demonstration plant project in 2004 at Incheon KOGAS LNG terminal. In the mid of 2008, KOGAS had finished the construction of this plant and has successively finished the demonstration plant operation. And since 2008, we have established the basic design of commercial plant which can produce 3,000 ton/day DME.

화력발전소의 미세먼지 배출특성 (Emission Characteristics of Fine Particles from Thermal Power Plants)

  • Park, Sooman;Lee, Gayoung
    • KEPCO Journal on Electric Power and Energy
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    • 제6권4호
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    • pp.455-460
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    • 2020
  • In order to identify the characteristics of fine particle emissions from thermal power plants, this study conducted measurement of the primary emission concentration of TPM, PM10 and PM2.5 according to Korea standard test method (ES 01301.1) and ISO 23210 method (KS I ISO 23210). Particulate matters were sampled in total 74 units of power plants such as 59 units of coal-fired power plants, 7 units of heavy oil power plants, 2 units of biomass power plant, and 6 units of liquid natural gas power plants. The average concentration of TPM, PM10, PM2.5 by fuel are 3.33 mg/m3, 3.01 mg/m3, 2.70 mg/m3 in coal-fired plant, 3.02 mg/m3, 2.99 mg/m3, 2.93 mg/m3 in heavy oil plant, 0.114 mg/m3, 0.046 mg/m3, 0.036 mg/m3 in LNG plant, respectively. These results of TPM, PM10 and PM2.5 were satisfied with the standards of fine dust emission allowance in all units of power plants, respectively. Also, this study evaluated the characteristics of fine particle emissions by conditions of power plants including generation sources, boiler types and operation years and calculated emission factors and then evaluated fine particle emissions by sources of electricity generation.

전력수급계획 수립시 수요예측이 전원혼합에 미치는 영향 (The Effect of the Demand Forecast on the Energy Mix in the National Electricity Supply and Demand Planning)

  • 강경욱;고봉진;정범진
    • 에너지공학
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    • 제18권2호
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    • pp.114-124
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    • 2009
  • 지식경제부(MKE)는 매2년마다 전력수급기본계획을 수립한다. 본 논문에서는 전력수급기본계획 수립시 전력수요를 과대 또는 과소로 예측한 것이 차기 전력수급기본계획 수립시 전원혼합(Energy Mix)에 미치는 영향을 정량적으로 평가하였다. 전력수요 자료는 2005년도에 예측한 제3차 전력수급기본계획의 전망치를 이용하였고 전원혼합을 도출하기 위하여 전력거래소(KPX)에서 활용하고 있는 WASP 전산모형을 단순화한 시뮬레이션 모형을 구축하였다. 2005년도 전력수요를 적정, 5% 과대 그리고 5% 과소 예측한 경우에 대하여 각각 단순화한 시뮬레이션 모형을 이용하여 2005년도 전력수급기본계획의 전원혼합을 도출하였다. 이 3가지 전원혼합을 초기조건으로 하여 2005년도의 적정 전력수요가 2007년 이후에 적용된다고 보고 2007년도에 차기 전력수급기본계획의 전원혼합을 도출하였다. 전력수요가 적정일 경우, 2005년도와 2007년도 전력수급 기본계획의 전력수요는 동일하므로 전원혼합에 변화가 없다. 전력수요를 5% 과대 또는 5% 과소 예측한 경우, 계획된 발전소 건설을 차기 전력수급기본계획 수립시 줄이거나 늘려야 하는데 건설기간이 짧은 LNG 발전소가 그 영향을 받는 것으로 나타났다.

준지도 학습 및 신경망 알고리즘을 이용한 전기가격 예측 (Electricity Price Prediction Based on Semi-Supervised Learning and Neural Network Algorithms)

  • 김항석;신현정
    • 대한산업공학회지
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    • 제39권1호
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    • pp.30-45
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    • 2013
  • Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.

유한요소해석을 이용한 해양 로딩암의 구조안전성 평가 (Structural Safety Evaluation of Marine Loading Arm Using Finite Element Analysis)

  • 송창용;최하영;심승환
    • 한국해양공학회지
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    • 제27권1호
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    • pp.43-50
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    • 2013
  • This paper presents a structural design review of a marine loading arm used for the fluid transfer of a liquid cargo from a ship or offshore plant. The marine loading arm is installed on a ship, offshore plant, or jetty in order to load or unload liquid cargo such as crude oil, liquefied natural gas (LNG), chemical products, etc. The structural design of this marine loading arm is obliged to comply with the design and construction specifications regulated by the oil companies and international marine forum (OCIMF). In this paper, the structural safety of the initial design for the marine loading arm is evaluated for the design load conditions required by various operational modes. The evaluated results based on a finite element analysis (FEA) are reviewed in relation to the OCIMF specifications.

불확실성을 고려한 장기 전원 포트폴리오의 평가 (The Evaluation of Long-Term Generation Portfolio Considering Uncertainty)

  • 정재우;민대기
    • 한국경영과학회지
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    • 제37권3호
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    • pp.135-150
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    • 2012
  • This paper presents a portfolio model for a long-term power generation mix problem. The proposed portfolio model evaluates generation mix by considering the tradeoffs between the expected cost for power generation and its variability. Unlike conventional portfolio models measuring variance, we introduce Conditional Value-at-Risk (CVaR) in designing the variability with aims to considering events that are enormously expensive but are rare such as nuclear power plant accidents. Further, we consider uncertainties associated with future electricity demand, fuel prices and their correlations, and capital costs for power plant investments. To obtain an objective generation by each energy source, we employ the sample average approximation method that approximates the stochastic objective function by taking the average of large sample values so that provides asymptotic convergence of optimal solutions. In addition, the method includes Monte Carlo simulation techniques in generating random samples from multivariate distributions. Applications of the proposed model and method are demonstrated through a case study of an electricity industry with nuclear, coal, oil (OCGT), and LNG (CCGT) in South Korea.

천연가스 액화공정의 최적설계 (Optimal Design of Natural Gas Liquefaction Processes)

  • 조현준;여영구;김진국
    • Korean Chemical Engineering Research
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    • 제51권1호
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    • pp.25-34
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    • 2013
  • 본 총설에서는 천연가스 액화공정의 최적설계에서 에너지 효율을 높이기 위해 고려해야 하는 주요 공정설계 인자들에 대한 논의와 상용 LNG 플랜트에서 이러한 인자들이 어떻게 적용되고 있는지에 대하여 살펴보았다. 압축기에서 소모되는 축일의 양을 최소화하기 위한 방법으로서 단일 냉매를 사용하는 냉각 사이클을 다단, 혹은 중첩 구조로 설계하여 온도 범위가 넓은 영역에서 운용하는 방법과 혼합냉매를 사용하여 단순한 사이클 구조를 유지하면서 최적 냉각공급 곡선을 유지하는 방법을 다루었고, 천연가스 액화조건에 맞추어 이러한 구조들의 최적 조합을 구성하는 원리를 소개하였다. 열 통합(heat integration) 기법을 활용하여 상용화 공정들의 특징을 도식적으로 고찰하였으며 아울러 에너지 효율 및 경제성에 대한 분석을 수행하였다. 또한 액화 공정 설계에서 사용되는 대용량의 압축기들을 구동하는 에너지 시스템에 대한 설계 문제를 살펴보았으며 최적설계를 위한 여러 가지 요소들을 고찰하여 보았다.

국내 가스터빈연소기 LNG열량변화에 따른 대응방향 연구 (Action Plan for the Effects of Variation of Fuel Gas Composition on Domestic Gas Turbines)

  • 이중성;하종만;한정옥
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2014년도 제49회 KOSCO SYMPOSIUM 초록집
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    • pp.115-118
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    • 2014
  • Since 1st July 2012, the our Goverment and KOGAS have been adopting a calorific value range system from the standard calorific value system. Domestic power plant companies and KOGAS have asked GT manufacture about the effects of the reduction of the calorific value. We received GT manufacture's answer to the question on April 12.2011. Gas components of some GT models were limited to no more than 9% of the C2+ content. Now some of GTs remain under debating whether effects on variation of gas heating or not.

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