The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform

Daejun Chang - One of the best experts on this subject based on the ideXlab platform.

  • Estimation of the Design Pressure of a prismatic LNG storage vessel
    Ocean Engineering, 2015
    Co-Authors: Unheon Choi, Daejun Chang, Choonghee Jo
    Abstract:

    This study proposed a method of estimating to Design Pressure in a prismatic storage vessel for liquefied natural gas. The estimation of the Design Pressure refers to the IGC Code that provides the international standards for storage of liquefied gases in bulk. The estimation of the Design Pressure was a basic step to scheme a storage vessel. The Design Pressure resulted from the vapor Pressure and the maximum liquid Pressure. The liquid Pressure was calculated from the effect of gravity and the acceleration applied to the center of gravity of the liquid. Loading conditions of up to 98% were considered in the calculation of the maximum liquid height. The heat ingress warmed the LNG, which caused it to exceed its boiling temperature. Calculation of the vapor Pressure was described by the material and energy balance equations. Dynamic simulation about the Pressure behavior was conducted by commercial software. The vapor Pressure affected by heat ingress from surrounding conditions was calculated with time variations.

  • Risk-based determination of Design Pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Reliability Engineering & System Safety, 2014
    Co-Authors: Kwangpil Chang, Daejun Chang
    Abstract:

    This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the Design Pressure of fuel storage tanks on LNG-fueled ships. Because the Pressure of such tanks varies with time, DPS is employed to predict the Pressure profile. Though equipment failure and subsequent repair affect transient Pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the Pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance Pressure. The exceedance curve of the Pressure provides risk-based information for determining the Design Pressure based on risk acceptance criteria, which may vary with different points of view.

  • Risk-based determination of Design Pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Reliability Engineering and System Safety, 2014
    Co-Authors: Yeelyong Noh, Yutaek Seo, K.-p. Chang, Daejun Chang
    Abstract:

    This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the Design Pressure of fuel storage tanks on LNG-fueled ships. Because the Pressure of such tanks varies with time, DPS is employed to predict the Pressure profile. Though equipment failure and subsequent repair affect transient Pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the Pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance Pressure. The exceedance curve of the Pressure provides risk-based information for determining the Design Pressure based on risk acceptance criteria, which may vary with different points of view. © 2014 Elsevier Ltd.

Yeelyong Noh - One of the best experts on this subject based on the ideXlab platform.

  • Risk-based determination of Design Pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Reliability Engineering and System Safety, 2014
    Co-Authors: Yeelyong Noh, Yutaek Seo, K.-p. Chang, Daejun Chang
    Abstract:

    This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the Design Pressure of fuel storage tanks on LNG-fueled ships. Because the Pressure of such tanks varies with time, DPS is employed to predict the Pressure profile. Though equipment failure and subsequent repair affect transient Pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the Pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance Pressure. The exceedance curve of the Pressure provides risk-based information for determining the Design Pressure based on risk acceptance criteria, which may vary with different points of view. © 2014 Elsevier Ltd.

L.j. Julyk - One of the best experts on this subject based on the ideXlab platform.

  • Waste Feed Delivery Transfer System Analysis [SEC 1 & 2]
    2001
    Co-Authors: L.j. Julyk
    Abstract:

    This document provides a documented basis for the required Design Pressure rating and pump Pressure capacity of the Hanford Site waste-transfer system in support of the waste feed delivery to the immobilization plant for processing. The scope of the analysis includes the 200 East Area double-shell tank waste transfer pipeline system and the associated transfer system pumps for all Phase 1B and Phase 2 waste transfers from AN, AP, AW, AY, and AZ Tank Farms.

  • Waste Feed Delivery Transfer System Analysis
    2000
    Co-Authors: L.j. Julyk
    Abstract:

    This document provides a documented basis for the required Design Pressure rating and pump Pressure capacity of the Hanford Site waste-transfer system in support of the waste feed delivery to the privatization contractor for vitrification. The scope of the analysis includes the 200 East Area double-shell tank waste transfer pipeline system and the associated transfer system pumps for a11 Phase 1B and Phase 2 waste transfers from AN, AP, AW, AY, and A2 Tank Farms.

Yutaek Seo - One of the best experts on this subject based on the ideXlab platform.

  • Risk-based determination of Design Pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Reliability Engineering and System Safety, 2014
    Co-Authors: Yeelyong Noh, Yutaek Seo, K.-p. Chang, Daejun Chang
    Abstract:

    This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the Design Pressure of fuel storage tanks on LNG-fueled ships. Because the Pressure of such tanks varies with time, DPS is employed to predict the Pressure profile. Though equipment failure and subsequent repair affect transient Pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the Pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance Pressure. The exceedance curve of the Pressure provides risk-based information for determining the Design Pressure based on risk acceptance criteria, which may vary with different points of view. © 2014 Elsevier Ltd.

K.-p. Chang - One of the best experts on this subject based on the ideXlab platform.

  • Risk-based determination of Design Pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Reliability Engineering and System Safety, 2014
    Co-Authors: Yeelyong Noh, Yutaek Seo, K.-p. Chang, Daejun Chang
    Abstract:

    This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the Design Pressure of fuel storage tanks on LNG-fueled ships. Because the Pressure of such tanks varies with time, DPS is employed to predict the Pressure profile. Though equipment failure and subsequent repair affect transient Pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the Pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance Pressure. The exceedance curve of the Pressure provides risk-based information for determining the Design Pressure based on risk acceptance criteria, which may vary with different points of view. © 2014 Elsevier Ltd.