• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.6
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• pp.772-779
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• 2019

The subsea pipeline has received considerable attention as a high-value-added industry linked to the energy and steel industries including natural resource development. The design and installation of the subsea pipeline require a variety of key technologies to carry out the project. In particular, a thorough pre-verification process through pre-commissioning is essential for the safe operation of the subsea pipeline. The hydrotesting stage in the pre-commissioning process of the subsea pipeline is known to be affected significantly by the ambient temperature change; however, there is a little study based on the theoretical and numerical approach. In this study, the method of predicting the internal temperature change using the transient heat transfer method for the stage of hydrotesting during the pre-commissioning process of the subsea pipeline and the prediction method of the pressure variation in the pipeline using it were proposed. The predicted results were compared with field test results and its effectiveness was verified. The proposed analysis procedure is expected to contribute to the productivity improvement of the subsea pipeline installation project by enabling the prediction of pressure variation through pipeline heat transfer simulation from the initial design stage of the subsea pipeline installation project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.672-682
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• 2020

The Korea Nowadays, which is research on digital twin technology for efficient operation in various industrial/manufacturing sites, is being actively conducted, and gradual depletion of fossil fuels and environmental pollution issues require new renewable/eco-friendly power generation methods, such as wave power plants. In wave power generation, however, which generates electricity from the energy of waves, it is very important to understand and predict the amount of power generation and operational efficiency factors, such as breakdown, because these are closely related by wave energy with high variability. Therefore, it is necessary to derive a meaningful correlation between highly volatile data, such as wave height data and sensor data in an oscillating water column (OWC) chamber. Secondly, the methodological study, which can predict the desired information, should be conducted by learning the prediction situation with the extracted data based on the derived correlation. This study designed a workflow-based training model using a machine learning framework to predict the pressure of the OWC. In addition, the validity of the pressure prediction analysis was verified through a verification and evaluation dataset using an IoT sensor data to enable smart operation and maintenance with the digital twin of the wave generation system.

• Korean Chemical Engineering Research
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• v.57 no.3
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• pp.358-367
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• 2019

Adsorption equilibrium and intraparticle diffusion characteristics of benzene, toluene, and xylene vapors on activated carbon and zeolite 13X were investigated. Static adsorption experiments were carried out under the pressure range of 0.01~0.07 bar while changing the adsorption temperature to 293.15 K, 303.15 K, and 313.15 K, respectively. Adsorption equilibrium was analyzed by Langmuir, Freundlich and Toth models. The adsorption energy was 5.26~31.0 kJ/mol representing physical adsorption characteristics. The maximum adsorption capacity on activated carbon was the largest for benzene, and the smallest for xylene. Toluene was in between. In the case of zeolite 13X, the maximum adsorption capacity was the largest for xylene, and the smallest for benzene as opposed to activated carbon. The effective diffusion coefficients of gas adsorbate were measured to be about $10^{-5}{\sim}10^{-4}cm^2/s$, and increased with temperature. As the pressure increased, the effective diffusion coefficients were decreased. The dependence of effective diffusion coefficients on temperature and pressure was greater in zeolite 13X particles than in activated carbon. Therefore, it is necessary to express the diffusion coefficients as a function of pressure in order to predict the precise dynamic behavior of the adsorption process using zeolite 13X where the pressure fluctuation occurs abruptly.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.294-294
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• 2023

보나 댐에 설치된 배수관이나 지하에 매설된 상하수도관과 같이 물을 운반하기 위한 관로 뿐만 아니라 유류를 운송하는 관, LPG와 같은 기체를 운송하는 관처럼 유체를 운송할 때 다양한 관로를 사용한다. 그 중 사용범위나 제작에 대한 용이성 등에 의해서 원형관이 주로 사용된다. 따라서 위와 같은 원형관 내의 관수로 흐름분포에 대한 연구는 아주 중요하며 필요하다. 원형관 내 흐름분포는 관에 연결된 펌프 혹은 수조나 저수지의 수위에 의한 관내 압력에 의해 지배되어지며, 관 내부 표면의 거칠기나 관의 꺾인 정도 등 다양한 요인에 영향을 받는다. 본 연구에서는 일반적인 실험결과를 도출하기 위하여 직선의 원형관을 대상으로 실험과 수치모의를 동시에 수행한다. 실험은 높이 3m, 길이 4.5m, 폭 1.5m 수조의 바닥에서부터 0.45m 위에 위치한 1.8m 길이의 아크릴 재질의 원형관이 설치된 수조에서 진행되었으며, 수치모의 또한 동일한 규모에서 수행되었다. 수조의 수위를 변화시켜 여러가지 레이놀즈 수에 따른 관 내 흐름의 변화에 대하여 분석하는 것이 목적이며, 실험결과와 수치모의 계산결과 간의 비교검증을 통해 분석한다. 이 연구에서는 난류의 영향을 RANS(Reynolds-averaged Navier-Stokes)와 LES(large eddy simulation)을 혼합한 형태인 Hybrid RANS/LES 모형 중 하나인 DES(detacged-eddy simulation)기법을 이용하여 해석함으로써, 빠른 유속으로 인한 관 내의 강한 와(eddy)에 대한 효과를 예측하는데 한계가 있는 RANS 모형과 벽면근처에서의 흐름 해석을 위해 굉장히 높은 격자해상도가 요구되어 계산적 비용 측면에서 효율이 떨어지는 LES 모형의 한계를 극복하고자 한다. DES 모형은 벽에서 떨어진 와에 대하여 LES로 직접해석하고, 벽 근처에서의 흐름에 대해선 난류모형을 통해 모델링함으로써 벽 근처 계산격자와 계산량을 줄이면서 LES와 비슷한 결과를 얻을 수 있다. 실험결과와 수치모의 계산결과 사이의 비교검증을 통하여 관 내 흐름에 대한 수치모의의 적용성을 평가하고 실험에서 측정하기 어려운 난류강도와 압력변동의 상세한 특성을 수치모의를 통해 분석함으로서 관 내 흐름특성에 대하여 자세히 분석하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.700-707
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• 2017

In the international natural gas market, natural gas has markedly low calories. The domestic calories standard of natural gas was changed and the performance and efficiency of many industrial machines using natural gas were affected because of low caloric natural gas. Therefore, in this study, a dual fuel engine fueled with natural gas and diesel was tested to examine the effects of the CNG substitution rate on the combustion characteristics, such as thermal efficiency, COVimep and heat release rate. The CNG substitution rate was defined as the ratio of CNG instead of diesel, which was calculated as the total energy. The conditions of the tested engine were fixed $1800rpm/500N{\cdot}m$. In addition, diesel fuel was injected at $16^{\circ}CA$ BTDC and the fuel pressure was fixed at 85 MPa; the lower heating value of CNG was $10,400kcal/Nm^3$. The results of the engine test showed that the amount of diesel fuel was changed according to the CNG substitution rate. Therefore, when the substitution rate was increased, the amount of diesel fuel was decreased, which affected the energy for ignition. In addition, the ignition delay duration was increased, which affected the thermal efficiency and torque. On the other hand, the COVimep was less than 5% and a stable combustion state of the engine was shown.