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Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation

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  • Jaliliantabar, Farzad
  • Ghobadian, Barat
  • Najafi, Gholamhassan
  • Mamat, Rizalman
  • Carlucci, Antonio Paolo

Abstract

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.

Suggested Citation

  • Jaliliantabar, Farzad & Ghobadian, Barat & Najafi, Gholamhassan & Mamat, Rizalman & Carlucci, Antonio Paolo, 2019. "Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation," Energy, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316603
    DOI: 10.1016/j.energy.2019.115970
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    1. Safieddin Ardebili, M. & Ghobadian, B. & Najafi, G. & Chegeni, A., 2011. "Biodiesel production potential from edible oil seeds in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3041-3044, August.
    2. Ashnani, Mohammad Hossein Mohammadi & Johari, Anwar & Hashim, Haslenda & Hasani, Elham, 2014. "A source of renewable energy in Malaysia, why biodiesel?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 244-257.
    3. Wan Ghazali, Wan Nor Maawa & Mamat, Rizalman & Masjuki, H.H. & Najafi, Gholamhassan, 2015. "Effects of biodiesel from different feedstocks on engine performance and emissions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 585-602.
    4. Saleh, H.E., 2009. "Effect of exhaust gas recirculation on diesel engine nitrogen oxide reduction operating with jojoba methyl ester," Renewable Energy, Elsevier, vol. 34(10), pages 2178-2186.
    5. Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Younesi, Habibollah & Najafpour, Ghasem, 2016. "On the exergetic optimization of continuous photobiological hydrogen production using hybrid ANFIS–NSGA-II (adaptive neuro-fuzzy inference system–non-dominated sorting genetic algorithm-II)," Energy, Elsevier, vol. 96(C), pages 507-520.
    6. Singh, Yashvir & Sharma, Abhishek & Tiwari, Sumit & Singla, Amneesh, 2019. "Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach," Energy, Elsevier, vol. 168(C), pages 909-918.
    7. Feng, Hongqing & Zheng, Zunqing & Yao, Mingfa & Cheng, Gang & Wang, Meiying & Wang, Xin, 2013. "Effects of exhaust gas recirculation on low temperature combustion using wide distillation range diesel," Energy, Elsevier, vol. 51(C), pages 291-296.
    8. Atmanli, Alpaslan & Ileri, Erol & Yilmaz, Nadir, 2016. "Optimization of diesel–butanol–vegetable oil blend ratios based on engine operating parameters," Energy, Elsevier, vol. 96(C), pages 569-580.
    9. Verschaeren, Roel & Schaepdryver, Wouter & Serruys, Thomas & Bastiaen, Marc & Vervaeke, Lieven & Verhelst, Sebastian, 2014. "Experimental study of NOx reduction on a medium speed heavy duty diesel engine by the application of EGR (exhaust gas recirculation) and Miller timing," Energy, Elsevier, vol. 76(C), pages 614-621.
    10. Zhu, Zhenxia & Zhang, Fujun & Li, Changjiang & Wu, Taotao & Han, Kai & Lv, Jianguo & Li, Yunlong & Xiao, Xuelian, 2015. "Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau," Applied Energy, Elsevier, vol. 157(C), pages 789-797.
    11. Solaimuthu, C. & Ganesan, V. & Senthilkumar, D. & Ramasamy, K.K., 2015. "Emission reductions studies of a biodiesel engine using EGR and SCR for agriculture operations in developing countries," Applied Energy, Elsevier, vol. 138(C), pages 91-98.
    12. Ghobadian, Barat, 2012. "Liquid biofuels potential and outlook in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4379-4384.
    13. Lattimore, Thomas & Wang, Chongming & Xu, Hongming & Wyszynski, Miroslaw L. & Shuai, Shijin, 2016. "Investigation of EGR Effect on Combustion and PM Emissions in a DISI Engine," Applied Energy, Elsevier, vol. 161(C), pages 256-267.
    14. Masum, B.M. & Masjuki, H.H. & Kalam, M.A. & Rizwanul Fattah, I.M. & Palash, S.M. & Abedin, M.J., 2013. "Effect of ethanol–gasoline blend on NOx emission in SI engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 209-222.
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