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Inverse identification of thermal behaviour of a paraffin-based phase change material in complete and partial phase change cycles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU155266" target="_blank" >RIV/00216305:26210/24:PU155266 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2451904924002038" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2451904924002038</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.tsep.2024.102585" target="_blank" >10.1016/j.tsep.2024.102585</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Inverse identification of thermal behaviour of a paraffin-based phase change material in complete and partial phase change cycles

  • Original language description

    From the macroscopic point of view, phase change hysteresis (PCH) means that a phase change process (e.g. solidification) does not follow the same temperature-enthalpy path as the opposite phase change process (melting). Although the PCH is observed in most phase change materials (PCMs), it is often neglected in computational models, resulting in discrepancies when compared to experimental data. The PCH can particularly be an issue in the modelling of latent heat thermal energy storage systems, where incomplete (partial) phase transitions are quite common. Lab-scale experimental methods for characterisation of PCMs, such as differential scanning calorimetry or the temperature-history method, employ only small PCM samples, and the obtained results are often insufficient for predicting the thermal behaviour of large volumes of PCMs. The present study explores numerical modelling approaches to the PCH, addressing both complete and partial melting-to-solidification cycles. A set of validation experiments was performed, focusing on phase transitions in a paraffin-based PCM enclosed in a rectangular cavity. An inverse identification method was used to minimise the root mean square error (RMSE) of temperatures in the PCM using the particle swarm optimisation method. A two-curve approach showed the highest accuracy in complete phase change cycles, with a 62% improvement in the RMSE when compared to the manufacturer data. As for cycles with partial phase changes, a curve-scale approach showed superior behaviour, reducing the RMSE as much as 99%. Conversely, another investigated approach – a curve-track model – exhibited inferior performance, making it less suitable for the modelling of partial phase changes.

  • 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

    20303 - Thermodynamics

Result continuities

  • Project

    <a href="/en/project/GA22-31173S" target="_blank" >GA22-31173S: Adaptive soft computing framework for inverse heat transfer problems with phase change</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Thermal science and engineering progress

  • ISSN

    2451-9049

  • e-ISSN

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    18

  • Pages from-to

    „102585“-„“

  • UT code for WoS article

    001237960800002

  • EID of the result in the Scopus database

    2-s2.0-85191942427