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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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