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Optimization of Membrane-Based Post-Combustion Carbon Capture Using a Network Flow Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143658" target="_blank" >RIV/00216305:26210/21:PU143658 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985858:_____/21:00569456

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Membrane-Based Post-Combustion Carbon Capture Using a Network Flow Model

  • Original language description

    The reduction of CO2 emissions is a very challenging issue. The capture of CO2 from combustion processes is associated with high energy consumption and decreases the efficiency of power-producing facilities. This can affect the economy and in specific cases, such as waste-to-energy plants, also their classification according to legislation. To allow the minimization of the energy consumption, a model of a membrane-based post-combustion capture was developed. The optimized parameters are the pressures and membrane properties of individual membrane stages. Model stands on the principle of a network flow problem, where all non-linear dependencies are linearized and replaced by a black box to ensure the optimality of results. The functionality of the model was verified on a case study and the results of the optimization are presented in the paper and implications of the energy consumption for a waste-to-energy plant are discussed.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    20701 - Environmental and geological engineering, geotechnics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů