Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel perc...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf |
| _version_ | 1796993595064975360 |
|---|---|
| author | Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo |
| author_facet | Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo |
| author_sort | Jaliliantabar, Farzad |
| collection | UMP |
| description | In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel percent, were developed. Finally, by using the developed models and NSGA-II (Non-dominated Sorting Genetic Algorithm II) method, the factors were optimized. The highest decrease in NOx emissions while using the biodiesel and EGR is 63.76% with B10 fuel blend (10% biodiesel fuel and 90% diesel fuel blend by volume) and 30% EGR rate. The highest reduction in HC emission levels while using EGR and biodiesel simultaneously, has been 54.05%. The adjusted R2 of the proposed model for the CO, HC, NOx, Power, BSFC and smoke were 0.94, 0.91, 0.88, 0.95, 0.89 and 0.94, respectively. Results of the optimization of the engine factors with NSGA-II method has been satisfactory and the pareto front for different test conditions was proposed. The outcomes of the study revealed that the optimization should be taken into account in the development of the new policy for using of the biofuel in the internal combustion engines. |
| first_indexed | 2024-03-06T12:36:13Z |
| format | Article |
| id | UMPir26102 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:36:13Z |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | UMPir261022019-11-27T03:26:45Z http://umpir.ump.edu.my/id/eprint/26102/ Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel percent, were developed. Finally, by using the developed models and NSGA-II (Non-dominated Sorting Genetic Algorithm II) method, the factors were optimized. The highest decrease in NOx emissions while using the biodiesel and EGR is 63.76% with B10 fuel blend (10% biodiesel fuel and 90% diesel fuel blend by volume) and 30% EGR rate. The highest reduction in HC emission levels while using EGR and biodiesel simultaneously, has been 54.05%. The adjusted R2 of the proposed model for the CO, HC, NOx, Power, BSFC and smoke were 0.94, 0.91, 0.88, 0.95, 0.89 and 0.94, respectively. Results of the optimization of the engine factors with NSGA-II method has been satisfactory and the pareto front for different test conditions was proposed. The outcomes of the study revealed that the optimization should be taken into account in the development of the new policy for using of the biofuel in the internal combustion engines. Elsevier 2019-11-15 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf Jaliliantabar, Farzad and Ghobadian, B. and Najafi, G. and R., Mamat and Carlucci, Antonio Paolo (2019) Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation. Energy, 187. pp. 1-2. ISSN 0360-5442 (Print), 1873-6785 (Online). (Published) https://doi.org/10.1016/j.energy.2019.115970 https://doi.org/10.1016/j.energy.2019.115970 |
| spellingShingle | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title | Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title_full | Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title_fullStr | Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title_full_unstemmed | Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title_short | Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| title_sort | multi objective nsga ii optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation |
| topic | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf |
| work_keys_str_mv | AT jaliliantabarfarzad multiobjectivensgaiioptimizationofacompressionignitionengineparametersusingbiodieselfuelandexhaustgasrecirculation AT ghobadianb multiobjectivensgaiioptimizationofacompressionignitionengineparametersusingbiodieselfuelandexhaustgasrecirculation AT najafig multiobjectivensgaiioptimizationofacompressionignitionengineparametersusingbiodieselfuelandexhaustgasrecirculation AT rmamat multiobjectivensgaiioptimizationofacompressionignitionengineparametersusingbiodieselfuelandexhaustgasrecirculation AT carlucciantoniopaolo multiobjectivensgaiioptimizationofacompressionignitionengineparametersusingbiodieselfuelandexhaustgasrecirculation |