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Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology

Author

Listed:
  • Najafi, Gholamhassan
  • Ghobadian, Barat
  • Yusaf, Talal
  • Safieddin Ardebili, Seyed Mohammad
  • Mamat, Rizalman

Abstract

This paper studies the use of RSM (response surface methodology) to optimize the performance parameters and exhaust emissions of a SI (spark ignition) engine which operates with ethanol–gasoline blends of 5%, 7.5%, 10%, 12.5% and 15% called E5, E7.5, E10, E12.5 and E15. In the experiments, the engine ran at various speeds for each test fuel and 45 different conditions were constructed. In comparison with gasoline fuel, the brake power, engine torque, increased using ethanol blends, and the bsfc (brake specific fuel consumption) decreased as well. Moreover, the concentration of CO and HC in the exhaust pipe decreased by introducing ethanol blends, but CO2 and NOx emissions increased. Optimization of independent variables was performed using the desirability approach of the RSM (response surface methodology) with the goal of minimizing emissions and maximizing of performance parameters. The experiments were designed using a statistical tool known as DoE (design of experiments) based on RSM. Engine-operating parameters were optimized using the Desirability approach of RSM. The performance parameters for different biofuel–gasoline blends were found close to gasoline, and emission characteristics of the engine improved significantly. An engine speed of 3000 rpm and a blend of 10% bioethanol and 90% gasoline (E10) were found to be optimal values. The results of this study revealed that at optimal input parameters, the values of the brake power, Torque, bsfc, and CO, CO2, HC, NOx were found to be 35.26 (kW), 103.66 (Nm), 0.25 (kg/kW hr), 3.5 (%Vol.), 12.8 (%Vol.), 136.6 (ppm) and 1300 (ppm) respectively.

Suggested Citation

  • Najafi, Gholamhassan & Ghobadian, Barat & Yusaf, Talal & Safieddin Ardebili, Seyed Mohammad & Mamat, Rizalman, 2015. "Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology," Energy, Elsevier, vol. 90(P2), pages 1815-1829.
  • Handle: RePEc:eee:energy:v:90:y:2015:i:p2:p:1815-1829
    DOI: 10.1016/j.energy.2015.07.004
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    as
    1. Wong, Pak Kin & Wong, Ka In & Vong, Chi Man & Cheung, Chun Shun, 2015. "Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search," Renewable Energy, Elsevier, vol. 74(C), pages 640-647.
    2. Poompipatpong, Chedthawut & Kengpol, Athakorn, 2015. "Design of a decision support methodology using response surface for torque comparison: An empirical study on an engine fueled with waste plastic pyrolysis oil," Energy, Elsevier, vol. 82(C), pages 850-856.
    3. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    4. Pandian, M. & Sivapirakasam, S.P. & Udayakumar, M., 2011. "Investigation on the effect of injection system parameters on performance and emission characteristics of a twin cylinder compression ignition direct injection engine fuelled with pongamia biodiesel-d," Applied Energy, Elsevier, vol. 88(8), pages 2663-2676, August.
    5. Butler, C. & Grimes, R., 2014. "The effect of wind on the optimal design and performance of a modular air-cooled condenser for a concentrated solar power plant," Energy, Elsevier, vol. 68(C), pages 886-895.
    6. Wang, Ji-min & Lan, Shen & Li, Wen-ke, 2014. "Numerical simulation and process optimization of an aluminum holding furnace based on response surface methodology and uniform design," Energy, Elsevier, vol. 72(C), pages 521-535.
    7. Okur, Osman & Alper, Erdogan & Almansoori, Ali, 2014. "Optimization of catalyst preparation conditions for direct sodium borohydride fuel cell using response surface methodology," Energy, Elsevier, vol. 67(C), pages 97-105.
    8. Betiku, Eriola & Omilakin, Oluwasesan Ropo & Ajala, Sheriff Olalekan & Okeleye, Adebisi Aminat & Taiwo, Abiola Ezekiel & Solomon, Bamidele Ogbe, 2014. "Mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology: A case of non-edible neem (Azadirachta indica) seed oil biodiesel synth," Energy, Elsevier, vol. 72(C), pages 266-273.
    9. Boyaci San, Fatma Gül & Isik-Gulsac, Isil & Okur, Osman, 2013. "Analysis of the polymer composite bipolar plate properties on the performance of PEMFC (polymer electrolyte membrane fuel cells) by RSM (response surface methodology)," Energy, Elsevier, vol. 55(C), pages 1067-1075.
    10. Boyacı San, Fatma Gül & Okur, Osman & İyigün Karadağ, Çiğdem & Isik-Gulsac, Isil & Okumuş, Emin, 2014. "Evaluation of operating conditions on DBFC (direct borohydride fuel cell) performance with PtRu anode catalyst by response surface method," Energy, Elsevier, vol. 71(C), pages 160-169.
    11. Veiga, Paula Moraes & Luna, Aderval Severino & de Figueiredo Portilho, Marcio & de Oliveira Veloso, Cláudia & Henriques, Cristiane Assumpção, 2014. "Zn,Al-catalysts for heterogeneous biodiesel production: Basicity and process optimization," Energy, Elsevier, vol. 75(C), pages 453-462.
    12. Singh, Satyender & Dhiman, Prashant, 2014. "Thermal and thermohydraulic performance evaluation of a novel type double pass packed bed solar air heater under external recycle using an analytical and RSM (response surface methodology) combined ap," Energy, Elsevier, vol. 72(C), pages 344-359.
    13. Yuan, Zhenyu & Yang, Jie & Zhang, Yufeng, 2015. "A self-adaptive supply method of micro direct methanol fuel cell," Energy, Elsevier, vol. 91(C), pages 1064-1069.
    14. Liu, Junhai & Zhuang, Yingbin & Li, Yan & Chen, Limei & Guo, Jingxue & Li, Demao & Ye, Naihao, 2013. "Optimizing the conditions for the microwave-assisted direct liquefaction of Ulva prolifera for bio-oil production using response surface methodology," Energy, Elsevier, vol. 60(C), pages 69-76.
    15. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
    16. Singh, Suraj Bhan & Dhar, Atul & Agarwal, Avinash Kumar, 2015. "Technical feasibility study of butanol–gasoline blends for powering medium-duty transportation spark ignition engine," Renewable Energy, Elsevier, vol. 76(C), pages 706-716.
    17. Pierobon, Leonardo & Casati, Emiliano & Casella, Francesco & Haglind, Fredrik & Colonna, Piero, 2014. "Design methodology for flexible energy conversion systems accounting for dynamic performance," Energy, Elsevier, vol. 68(C), pages 667-679.
    18. Koç, Mustafa & Sekmen, Yakup & Topgül, Tolga & Yücesu, Hüseyin Serdar, 2009. "The effects of ethanol–unleaded gasoline blends on engine performance and exhaust emissions in a spark-ignition engine," Renewable Energy, Elsevier, vol. 34(10), pages 2101-2106.
    19. Long, Nguyen Van Duc & Lee, Moonyong, 2015. "A hybrid technology combining heat pump and thermally coupled distillation sequence for retrofit and debottlenecking," Energy, Elsevier, vol. 81(C), pages 103-110.
    20. Feng, Renhua & Fu, Jianqin & Yang, Jing & Wang, Yi & Li, Yangtao & Deng, Banglin & Liu, Jingping & Zhang, Daming, 2015. "Combustion and emissions study on motorcycle engine fueled with butanol-gasoline blend," Renewable Energy, Elsevier, vol. 81(C), pages 113-122.
    21. Taymaz, Imdat & Akgun, Fehmi & Benli, Merthan, 2011. "Application of response surface methodology to optimize and investigate the effects of operating conditions on the performance of DMFC," Energy, Elsevier, vol. 36(2), pages 1155-1160.
    22. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J., 2013. "Response surface method applied to the thermoeconomic optimization of a complex cogeneration system modeled in a process simulator," Energy, Elsevier, vol. 52(C), pages 44-54.
    23. Abuhabaya, Abdullah & Fieldhouse, John & Brown, David, 2013. "The effects of using biodiesel on CI (compression ignition) engine and optimization of its production by using response surface methodology," Energy, Elsevier, vol. 59(C), pages 56-62.
    24. Yuan, Zhenyu & Yang, Jie & Zhang, Yufeng & Zhang, Xiwei, 2015. "The optimization of air-breathing micro direct methanol fuel cell using response surface method," Energy, Elsevier, vol. 80(C), pages 340-349.
    25. Taghavifar, Hamid & Mardani, Aref, 2014. "A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles," Energy, Elsevier, vol. 66(C), pages 569-576.
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