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Inprocess staff participate in congresses, meetings and events where we explain our successes and work in general in the form of presentations and reports.

In this section you can find a variety of informative articles which are free to download.

 

  • How Can Dynamic Analysis Improve Gas Turbine Feed System Reliability and Availability?

    How Can Dynamic Analysis Improve Gas Turbine Feed System Reliability and Availability?


    Author(s)
    Jose Maria Nogues

     

    Magazine
    Hydrocarbon Engineering, November 2023

     

    Abstract / Summary
    This technical paper presents an in-depth analysis of gas turbine feed gas systems in power plants, focusing on dynamic process simulations to enhance reliability and availability. Gas turbine power plants are vital assets that require high availability, often exceeding 90%. The minimization of unit trips is critical to achieve this goal. This paper outlines the key characteristics of these systems, the dynamic analysis procedure, and the significant benefits of employing dynamic simulations in the engineering design phase. The cost-effectiveness of dynamic analysis is also discussed, emphasizing its potential to prevent costly process trips

     

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    Webinar: How Dynamic Simulation Analysis Can Improve Gas Turbine Feed System Reliability and Availability


    Language
    English

     

    Summary
    This webinar explores how dynamic process simulations, when used during the early design stage, can significantly improve the reliability of your gas turbine feed systems. These simulations can also help prevent costly shutdowns, leading to smoother operations.

     

    Date
    28/11/2023

     

    Presenter(s)
    José María Nougués

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    Modeling the Tokamak Exhaust Processing System in a Commercial Simulator for Process Monitoring Purposes


    Author(s)
    Eduardo Iraola, José M. Nougués, Lluís Batet, Josep A. Feliu, Luis Sedano

     

    Magazine
    2023, Fusion Science and Technology

     

    Abstract / Summary
    Tritium represents a hazard due to its radioactivity and migration properties. Because of these difficulties, ITER, the largest fusion experiment so far, relies on a conservative static procedure to monitor the tritium inventory. Future commercial fusion plants can avoid operation halts if a dynamic monitoring strategy proves itself valid. Tritium plant models have been developed for this kind of monitoring and analysis task, but sensor accuracy and reliability are an issue still to be addressed, and the path to dynamic monitoring remains unclear. The present work shows the modeling procedure of the Tokamak Exhaust Processing System in a commercial simulator, Aspen HYSYS, to reproduce the inventories, streams, process conditions, and compositions of this subsystem during operation. A demonstration of such a tritium plant subsystem shows meaningful value for several reasons. First, this process has not been modeled before in commercial dynamic simulators, which are typically used in the process industry. It will also allow new stakeholders to participate in future fusion-related projects. Second, it will play a key role in industry-like tritium process monitoring, in which the new model will act as a digital twin of the plant. Data-driven diagnostics can be fueled by model data, helping engineers to generate additional data that could otherwise be expensive to get directly from the plant. For these reasons, models will represent an essential part of a dynamic monitoring system, necessary for feasible fusion projects.

     

    Link:
    https://www.tandfonline.com/eprint/NFXMPQCKBG9JJUWJ4SM7/full?target=10.1080/15361055.2023.2260238

  • Inprocess Dynamic Simulation Model Flare Analysis

    Relief Flare Analysis using Dynamic Simulation of your plant


    Author(s)
    Miguel-Ángel Navarro and Miquel-Àngel Alós (Inprocess)

     

    Magazine
    2023, Hydrocarbon Engineering, June

     

    Abstract / Summary
    The common solution in industry when a flare system reaches its limits it to increase its capacity: CAPEX solution. As experts of the domain, Inprocess proposes Dynamic Simulation Model for higher accuracy of behavior prediction as well as for alternative solutions for flare capacity issues.

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    Webinar: ITOP-Practical Process Equipment Training


    Language
    English

     

    Summary
    A comprehensive and engaging training tool designed specifically for operations staff in the chemical and hydrocarbon processing industries. It combined theory sessions, 3D animation, interactive virtual labs, and enables progress tracking with exercises.

     

    Date
    19/07/2023

     

    Presenter(s)
    Manel Serra

     

    Note
    If you would like to receive the presentation, please contact:  info@inprocessgroup.com