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Application of PCM-based Thermal Energy Storage System in Buildings: A State of the Art Review on the Mathematical Modeling Approaches and Experimental Investigations

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU147166" target="_blank" >RIV/00216305:26210/22:PU147166 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/article/10.1007/s11630-022-1650-5" target="_blank" >https://link.springer.com/article/10.1007/s11630-022-1650-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11630-022-1650-5" target="_blank" >10.1007/s11630-022-1650-5</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Application of PCM-based Thermal Energy Storage System in Buildings: A State of the Art Review on the Mathematical Modeling Approaches and Experimental Investigations

  • Popis výsledku v původním jazyce

    This review paper critically analyzes the most recent literature (64% published after 2015) on the experimentation and mathematical modeling of latent heat thermal energy storage (LHTES) systems in buildings. Commercial software and in-built codes used for mathematical modeling of LHTES systems are consolidated and reviewed to provide details on the selection of appropriate tools. Insights on software's computing speed, model simplicity, accuracy (by considering the convective term in the melting process), and application of artificial neural networks are reviewed in detail. Moreover, the overall research status of the experiments conducted on the phase change material-based LHTES systems with different experiment configurations is reviewed. The analysis shows that ANSYS Fluent is the most widely used software for specific heat transfer phenomenon in storage tanks, while self-developed models with simplified terms are evaluated as more flexible and easier to apply. For hybrid systems, self-developed MATLAB, mature parts in ESP-r, TRNSYS, and EnergyPlus are compatible. Further, most of the experimental investigations are conducted on the laboratory scale, providing data for model validation. To provide a clear guidance for the future market application, the scope for future works is presented. With this review, it would be easier to develop a unified, simplified, visual, and accurate simulation platform for the PCM-based thermal energy storage in buildings.

  • Název v anglickém jazyce

    Application of PCM-based Thermal Energy Storage System in Buildings: A State of the Art Review on the Mathematical Modeling Approaches and Experimental Investigations

  • Popis výsledku anglicky

    This review paper critically analyzes the most recent literature (64% published after 2015) on the experimentation and mathematical modeling of latent heat thermal energy storage (LHTES) systems in buildings. Commercial software and in-built codes used for mathematical modeling of LHTES systems are consolidated and reviewed to provide details on the selection of appropriate tools. Insights on software's computing speed, model simplicity, accuracy (by considering the convective term in the melting process), and application of artificial neural networks are reviewed in detail. Moreover, the overall research status of the experiments conducted on the phase change material-based LHTES systems with different experiment configurations is reviewed. The analysis shows that ANSYS Fluent is the most widely used software for specific heat transfer phenomenon in storage tanks, while self-developed models with simplified terms are evaluated as more flexible and easier to apply. For hybrid systems, self-developed MATLAB, mature parts in ESP-r, TRNSYS, and EnergyPlus are compatible. Further, most of the experimental investigations are conducted on the laboratory scale, providing data for model validation. To provide a clear guidance for the future market application, the scope for future works is presented. With this review, it would be easier to develop a unified, simplified, visual, and accurate simulation platform for the PCM-based thermal energy storage in buildings.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20704 - Energy and fuels

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Thermal Science

  • ISSN

    1003-2169

  • e-ISSN

    1993-033X

  • Svazek periodika

    31

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    CN - Čínská lidová republika

  • Počet stran výsledku

    32

  • Strana od-do

    1821-1852

  • Kód UT WoS článku

    000824985200002

  • EID výsledku v databázi Scopus

    2-s2.0-85133626300