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A general predictive model for direct contact membrane distillation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F18%3A43915947" target="_blank" >RIV/60461373:22310/18:43915947 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0011916418304831?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0011916418304831?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.desal.2018.08.002" target="_blank" >10.1016/j.desal.2018.08.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A general predictive model for direct contact membrane distillation

  • Original language description

    Direct contact membrane distillation (DCMD) is a nonisothermal technology applied for the separation of non-volatile components from aqueous solutions. Nowadays, a huge number of publications are dedicated to modeling of DCMD, however all of the presented models have at least one of the following disadvantages: oversimplification, the use of empirical heat and mass transfer coefficients and poor prediction for cases which are out of the experimental data range. To overcome these drawbacks, a multipurpose general predictive model of DCMD has been developed. The proposed model is suitable for hollow fiber and flat sheet configurations with or without spacers. For each compartment of the DCMD process, our model describes the momentum, mass and heat balances by systems of ordinary differential, partial differential and algebraic equations. The performance of the model has been analyzed in terms of the operating parameters (concentration of a feed solution, feed flow rate and feed temperature) and membrane thickness and length. The simulated results were in very good agreement with experimental and literature data. The broad parametric study demonstrates the great potential of application of the proposed model not only in the process optimization but in design of DCMD modules. © 2018 Elsevier B.V.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20402 - Chemical process engineering

Result continuities

  • Project

    <a href="/en/project/LO1613" target="_blank" >LO1613: Future materials</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Desalination

  • ISSN

    0011-9164

  • e-ISSN

  • Volume of the periodical

    445

  • Issue of the periodical within the volume

    NOV 1 2018

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    181-196

  • UT code for WoS article

    000446287300018

  • EID of the result in the Scopus database

    2-s2.0-85051458420