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Metaheuristic design optimization of the air-pcm thermal storage unit for solar air systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU139282" target="_blank" >RIV/00216305:26210/20:PU139282 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aidic.it/cet/20/81/035.pdf" target="_blank" >https://www.aidic.it/cet/20/81/035.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3303/CET2081035" target="_blank" >10.3303/CET2081035</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Metaheuristic design optimization of the air-pcm thermal storage unit for solar air systems

  • Original language description

    Phase change materials (PCMs) and thermal energy storage (TES) represent a way toward sustainable utilization of renewable energy resources. An air-PCM thermal storage unit integrated in solar systems is a device, which employs the latent heat TES to balance between the demand and supply of heat (or cold) for space heating (or cooling) in buildings. Previously published studies demonstrate that this approach is viable but design parameters of the unit need to be optimized. In the paper, a computer model of the heat storage unit was developed and coupled to metaheuristic nature-inspired optimization algorithms with the aim of design optimization of the TES unit. The unit consisted of flat plates made of a PCM, which was macro-encapsulated in aluminium containers. The energy balance and control volume methods were used to build the model and the effective heat capacity technique was applied for phase change modelling. The model was created in Python, validated against experimental data and an open-source optimization library DEAP with metaheuristics was used as an optimization solver. A design optimization problem was specified with including the arrangement of the PCM plates and their thickness. Results showed that the DEAP library and metaheuristics are well applicable for the solution of this kind of optimization problem.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

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

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Chemical Engineering Transactions

  • ISSN

    2283-9216

  • e-ISSN

  • Volume of the periodical

    81

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IT - ITALY

  • Number of pages

    6

  • Pages from-to

    205-210

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85092104571