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Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks
dc.contributor.author | Lamas, M.I. | |
dc.contributor.author | Telmo Miranda, Javier | |
dc.contributor.author | Rebollido Lorenzo, José Manuel | |
dc.contributor.author | Caccia, Claudio Giovanni | |
dc.date.accessioned | 2022-01-18T18:28:01Z | |
dc.date.available | 2022-01-18T18:28:01Z | |
dc.date.issued | 2021-12 | |
dc.identifier.citation | Galdo, M.I.L.; Miranda, J.T.; Lorenzo, J.M.R.; Caccia, C.G. Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks. Int. J. Environ. Res. Public Health 2021, 18, 12823. https://doi.org/10.3390/ijerph182312823 | |
dc.identifier.issn | 1660-4601 | |
dc.identifier.uri | http://hdl.handle.net/2183/29422 | |
dc.description.abstract | [Abstract] The present work proposes several modifications to optimize both emissions and consumption in a commercial marine diesel engine. A numerical model was carried out to characterize the emissions and consumption of the engine under several performance parameters. Particularly, five internal modifications were analyzed: water addition; exhaust gas recirculation; and modification of the intake valve closing, overlap timing, and cooling water temperature. It was found that the result on the emissions and consumption presents conflicting criteria, and thus, a multiple-criteria decision-making model was carried out to characterize the most appropriate parameters. In order to analyze a high number of possibilities in a reasonable time, an artificial neural network was developed. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.uri | https://doi.org/10.3390/ijerph182312823 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Máquinas marinas | es_ES |
dc.subject | Motores marinos | es_ES |
dc.subject | Motores diésel marinos | es_ES |
dc.title | Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | International Journal of Environmental Research and Public Health | es_ES |
UDC.volume | 18 | es_ES |
UDC.issue | 23 | es_ES |
dc.identifier.doi | 10.3390/ijerph182312823 |
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