The Experts below are selected from a list of 9966 Experts worldwide ranked by ideXlab platform

Daniel Lundin - One of the best experts on this subject based on the ideXlab platform.

Nils Brenning - One of the best experts on this subject based on the ideXlab platform.

J T Gudmundsson - One of the best experts on this subject based on the ideXlab platform.

A Anita Poore - One of the best experts on this subject based on the ideXlab platform.

  • Integrated Process Gas Modeling for Tritium Systems at the Savannah River Site
    Fusion Science and Technology, 2008
    Co-Authors: A Anita Poore, T Hang
    Abstract:

    Significant savings are being realized from the consolidated tritium Gas-Processing operations at the Savannah River Site. However, the trade-off is some reduction of operational flexibility due to decreased storage capacity for Process and waste Gases. Savannah River National Laboratory researchers are developing an integrated Process Gas model for tritium Processing using Aspen Custom Modeler{sup TM} (ACM) software. The modeling involves fully characterizing Process flow streams (Gas composition, quantity), frequency of batch transfers, and availability of equipment in the flow stream. The model provides a valuable engineering tool to identify flow bottlenecks, thereby enabling adjustments to be made to improve Process operations. (authors)

  • INTEGRATED Process Gas MODELING FOR TRITIUM SYSTEMS AT THE SAVANNAH RIVER SITE
    2007
    Co-Authors: T Hang, A Anita Poore
    Abstract:

    Significant savings are being realized from the consolidated tritium Gas-Processing operations at the Savannah River Site. However, the trade-off is some reduction of operational flexibility due to decreased storage capacity for Process and waste Gases. Savannah River National Laboratory researchers are developing an integrated Process Gas model for tritium Processing using Aspen Custom Modeler{trademark} (ACM) software. The modeling involves fully characterizing Process flow streams (Gas composition, quantity), frequency of batch transfers, and availability of equipment in the flow stream. The model provides a valuable engineering tool to identify flow bottlenecks, thereby enabling adjustments to be made to improve Process operations.

T Hang - One of the best experts on this subject based on the ideXlab platform.

  • Integrated Process Gas Modeling for Tritium Systems at the Savannah River Site
    Fusion Science and Technology, 2008
    Co-Authors: A Anita Poore, T Hang
    Abstract:

    Significant savings are being realized from the consolidated tritium Gas-Processing operations at the Savannah River Site. However, the trade-off is some reduction of operational flexibility due to decreased storage capacity for Process and waste Gases. Savannah River National Laboratory researchers are developing an integrated Process Gas model for tritium Processing using Aspen Custom Modeler{sup TM} (ACM) software. The modeling involves fully characterizing Process flow streams (Gas composition, quantity), frequency of batch transfers, and availability of equipment in the flow stream. The model provides a valuable engineering tool to identify flow bottlenecks, thereby enabling adjustments to be made to improve Process operations. (authors)

  • INTEGRATED Process Gas MODELING FOR TRITIUM SYSTEMS AT THE SAVANNAH RIVER SITE
    2007
    Co-Authors: T Hang, A Anita Poore
    Abstract:

    Significant savings are being realized from the consolidated tritium Gas-Processing operations at the Savannah River Site. However, the trade-off is some reduction of operational flexibility due to decreased storage capacity for Process and waste Gases. Savannah River National Laboratory researchers are developing an integrated Process Gas model for tritium Processing using Aspen Custom Modeler{trademark} (ACM) software. The modeling involves fully characterizing Process flow streams (Gas composition, quantity), frequency of batch transfers, and availability of equipment in the flow stream. The model provides a valuable engineering tool to identify flow bottlenecks, thereby enabling adjustments to be made to improve Process operations.