Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method

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dc.authoridhttps://orcid.org/0000-0001-8579-5444en_US
dc.authoridhttps://orcid.org/0000-0002-7942-3801en_US
dc.authoridhttps://orcid.org/0000-0002-0792-7031en_US
dc.contributor.authorSingla, Manish Kumar
dc.contributor.authorGupta, Jyoti
dc.contributor.authorAlsharif, Mohammed H.
dc.contributor.authorJahid, Abu
dc.contributor.authorYahya, Khalid O. Moh.
dc.date.accessioned2024-03-13T01:30:23Z
dc.date.available2024-03-13T01:30:23Z
dc.date.issued2024en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractThis paper presents a mathematical model for stacks of direct methanol fuel cells (DMFCs) using an optimised method. In order to reduce the sum of squared errors (SSE) in calculating the polarisation profile, the suggested technique makes use of simulated experimental data. Given that DMFC is one of the viable fuel cell choices, developing an appropriate model is essential for cost reduction. However, resolving this issue has proven difficult due to its complex and highly nonlinear character, particularly when adjusting the DMFC model to various operating temperatures. By combining the algorithm and the objective function, the current work introduces a novel method called LSHADE (ELSHADE) for determining the parameters of the DMFC model. This technique seeks to accurately identify DMFCs’ characteristics. The ELSHADE method consists of two stages, the first of which is controlled by a reliable mutation process and the latter by a chaotic approach. The study also recommends an improved Newton–Raphson (INR) approach to deal with the chaotic nature of the I-V curve equation. The findings show that, when used on actual experimental data, the ELSHADE-INR technique outperforms existing algorithms in a variety of statistical metrics for accurately identifying global solutions.en_US
dc.identifier.doi10.3390/su16010062en_US
dc.identifier.endpage16en_US
dc.identifier.issn2071-1050
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85181927229en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11363/7193
dc.identifier.urihttps://doi.org/
dc.identifier.volume16en_US
dc.identifier.wosWOS:001140554900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYahya, Khalid O. Moh.
dc.language.isoenen_US
dc.publisherMDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLANDen_US
dc.relation.ispartofSUSTAINABILITYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectparameter extractionen_US
dc.subjectsustainabilityen_US
dc.subjectmodelling of DMFCen_US
dc.subjectoptimisationen_US
dc.subjectELSHADE-INRen_US
dc.subjectoperating temperatureen_US
dc.subjectnon-parametric testen_US
dc.titleSustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Methoden_US
dc.typeArticleen_US

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