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Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks
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 modificatio...
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| Published in: | International journal of environmental research and public health 2021-12, Vol.18 (23), p.12823 |
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| Main Authors: | , , , |
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| cited_by | cdi_FETCH-LOGICAL-c421t-ec29be4daea36e8d76230bfca3273f6e340342922b49d2dab5242c1f836a5e673 |
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| cites | cdi_FETCH-LOGICAL-c421t-ec29be4daea36e8d76230bfca3273f6e340342922b49d2dab5242c1f836a5e673 |
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| container_issue | 23 |
| container_start_page | 12823 |
| container_title | International journal of environmental research and public health |
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| creator | Galdo, María Isabel Lamas Miranda, Javier Telmo Lorenzo, José Manuel Rebollido Caccia, Claudio Giovanni |
| description | 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. |
| doi_str_mv | 10.3390/ijerph182312823 |
| format | article |
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| subjects | Air pollution Cooling Cooling water Decision making Diesel engines Emissions Engine valves Environmental Pollution Exhaust gases Gasoline Industrial plant emissions Internal combustion engines Marine engines Mathematical models Multiple criterion Neural networks Neural Networks, Computer Numerical models Parameter modification Temperature Vehicle Emissions Water temperature |
| title | Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks |
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