Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II

Year : 2023 | Volume :01 | Issue : 01 | Page : 1-6
By

Sunil Dhingra

  1. Assistant Professor Department of Mechanical Engineering, University Institute of Engineering & Technology Haryana India

Abstract

Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer depending upon the output of the engine. The various
optimization techniques has been applied to engine for predicting optmum solutions such as OFAT approach, MOGA, RSM, Taguchi etc. Hence, this current research work applied the genetic algorithm for predicting optimum engine input parameters using sunflower oil based biodiesel. The statistical models are obtained from response surface methodology approach and these models are further used in design the ANN-GA program. The obtained program when run in MATLAB tool, multi solutions will be predicted. The validation of obtained solutions revealed the feasibility of the engine output parameters model.

Keywords: Genetic Algorithm, ANN, RSM, sunflower oil, Validation of Experiments

[This article belongs to International Journal of Energy and Thermal Applications(ijeta)]

How to cite this article: Sunil Dhingra. Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II. International Journal of Energy and Thermal Applications. 2023; 01(01):1-6.
How to cite this URL: Sunil Dhingra. Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II. International Journal of Energy and Thermal Applications. 2023; 01(01):1-6. Available from: https://journals.stmjournals.com/ijeta/article=2023/view=124015





References

1. Sunil Dhingra, Gian Bhushan, and Kashyap Kumar Dubey.” Validation and Enhancement of Waste Cooking Sunflower Oil based Biodiesel Production by the Trans-esterification Process”. Energy Sources part A, Taylor & Francis publication. Accepted on 29th November 2013.
2. Sunil Dhingra, Gian Bhushan, and Kashyap Kumar Dubey. “Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non- dominated sorting genetic algorithm-II”, 2013. Frontiers of Mechanical Engineering, Springer publication. DOI 10.1007/s11465-014-0287-9
3. Sunil Dhingra, Gian Bhushan, and Kashyap Kumar Dubey. “Understanding the interactions and evaluation of process factors for biodiesel production from waste cooking cottonseed oil by design of experiments through statistical approach”, 2014. Frontiers in Energy, Springer publication. Accepted on 29th January 2014.
4. Ramdhas, A. S., Muraleedharan, C. and Jayaraj, S., (2005), “Performance and emission evaluation of a diesel engine fuelled with methyl esters of rubber seed oil”, Renewable Energy, Vol. 20, pp. 1–12.
5. Lin, G. H. and Kuo, C. P., (2013), “Effects of the injection timing on the engine performance and the exhaust emissions of a diesel engine fuelled by tyre-pyrolysis oil-diesel blends”, Proceedings of institution of Mechanical Engineers, part D: Journal of Automobile Engineering, DOI:10.1177/0954407013478397.
6. Krijnsen, H., Van Kooten, W., Calis, H., Verbeek, R. and Venden Bleek, C., (2000), “Evaluation of an artificial neural network for NO prediction from a transient diesel engine as a base for ANN would be well suited to inventory prediction from transient diesel engine as base for NOx control”, Canadian Journal of Chemical Engineering, Vol. 78, No. 2, pp. 408–417.
7. Quintella, S. A., Saboya, R. M. A., Salmin, D. C., Novaes, D. S., Araujo, A. S., Albuquerque, M. C. G. and Cavalcante, C. L. C., (2011), Transesterification of soybean oil using ethanol and mesoporous silica catalyst, Renewable Energy, Vol. 38, No. 1, pp. 136–140.
8. Zhu, L., Cheung, C. S. and Zhang, W. G., “Combustion, performance and emission characteristics of a DI engine fuelled with ethanol-biodiesel blends”, Fuel, Vol. 90, No. 5, 1743–1750.
9. Duan, X., Peng, C., Srinivasakannan, Zhang, L., Xia, H., Yang, K. and Zhang, Z., (2011), “Process optimization for the preparation of activated carbon from jatropha hull using response surfacemethodology”, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, Vol. 33, No. 21, pp. 2005–2017.
10. Rajendra, M., Jena, P. C. and Raheman, H., (2009), “Prediction of optimized pre-treatment process parameters for biodiesel production using ANN and GA”, Fuel, Vol. 88, No. 5, pp. 868–75.
11. Khayoon, M. S., Olutoye, M. A. and Hameed, B. H., (2012), “Utilization of crude karanja (Pongamia pinnata) oil as a potential feedstock for the synthesis of fatty acid methyl esters”, Bio resource Technology, Vol. 111, pp. 175–179.
12. Sahoo, P. and Das, L., (2009), “Process optimization for biodiesel production from, Jatropha, Karanja and Polanga oils”, Fuel, Vol. 88, pp. 1588–1594.


Regular Issue Subscription Review Article
Volume 01
Issue 01
Received July 1, 2023
Accepted July 5, 2023
Published October 23, 2023