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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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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
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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
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EID of the result in the Scopus database
2-s2.0-85092104571