Precise Fourier series and fuzzification method analysis of standardized thermal energy of solar box cooker performance: economic and environmental studies.
Box-type solar cooker
Fourier time series analysis
Fuzzy logic and inferences
Fuzzy rules
Performance
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
19
12
2022
accepted:
05
05
2023
medline:
29
6
2023
pubmed:
2
6
2023
entrez:
2
6
2023
Statut:
ppublish
Résumé
A solar cooker is essential for cooking nutrient-dense food as opposed to LPG, which is avoidable. In the current situation, the solar cooker's incorporation of a nanoparticle covering resulted in improved thermal performance and shorter cooking times. It has been attempted to forecast thermal performance using the Fourier series and to validate the study of cooking liquid temperatures using the Fourier series. Additionally, the logical modeling of the complete cooking process with the climatic conditions has been fuzzified in order to create fuzzy rules. Also, a thermal measurement of the cooking process was conducted during the experiment to support the fuzzy inference. From the study, it can be inferred that fuzzy logic modeling and Fourier series analysis can both be used to simulate the proposed system under various climatic settings that are comparable to the local climatic conditions in Chennai. In comparison to Pt values that have a larger dependence, a solar box cooker study of the environment and economy is applied to determine total carbon dioxide emissions (%) that reduce a period when this design was used. There is a clear correlation between minimization of CO
Identifiants
pubmed: 37266782
doi: 10.1007/s11356-023-27531-y
pii: 10.1007/s11356-023-27531-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
77890-77904Subventions
Organisme : Defence and Security Accelerator
ID : DST-FIRST Level-1(SR/FST/PS-1/2018/35)
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
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