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Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach

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  • Singh, Yashvir
  • Sharma, Abhishek
  • Tiwari, Sumit
  • Singla, Amneesh

Abstract

There is a need to explore environment friendly fuels and its' performance for the internal combustion engine due to growing consumption of fossil fuel which is contributing in increasing the air pollution levels of earth atmosphere. The purpose of the study is to optimize the factors which are responsible for the performance of engine as well as emission analysis in case of cassia tora biodiesel blends in direct injection diesel engine using RSM optimization technique. Four input parameters have been considered for the present analysis which includes engine load, injection timing, injection pressure, and blend percentage to optimize engine's performance and emission characteristics. This study includes all factors having five codded levels. RSM is used to get optimum amalgamation of the above stated factors to optimize output variables (UHC, BTE, and NOx). Hence, cassia tora biodiesel may leads in achieving better environmental performance with improved commercial value. The experimental design used in the study is based on central composite rotating design (CCRD) matrix. The best combination of input parameters is recorded at 15 obTDC injection timing of fuel, 221 bar injection pressure of fuel, 40% mixing of cassia tora with diesel, and 47% engine load which results in maximum BTE and minimum UHC and NOx emissions of the engine. Experimental and optimized results of the output responses at optimum input parameters are compared and found to be in the suggested error range. From the future point of view, same work can be extended by utilizing the same biodiesel with some changes in the input parameters and output responses by utilizing the RSM technique and making its comparison with other techniques.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:168:y:2019:i:c:p:909-918
    DOI: 10.1016/j.energy.2018.12.013
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    1. 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.
    2. Ganapathy, T. & Murugesan, K. & Gakkhar, R.P., 2009. "Performance optimization of Jatropha biodiesel engine model using Taguchi approach," Applied Energy, Elsevier, vol. 86(11), pages 2476-2486, November.
    3. Szabados, György & Bereczky, Ákos, 2018. "Experimental investigation of physicochemical properties of diesel, biodiesel and TBK-biodiesel fuels and combustion and emission analysis in CI internal combustion engine," Renewable Energy, Elsevier, vol. 121(C), pages 568-578.
    4. Sakdasri, Winatta & Sawangkeaw, Ruengwit & Ngamprasertsith, Somkiat, 2018. "Techno-economic analysis of biodiesel production from palm oil with supercritical methanol at a low molar ratio," Energy, Elsevier, vol. 152(C), pages 144-153.
    5. Yusri, I.M. & Abdul Majeed, A.P.P. & Mamat, R. & Ghazali, M.F. & Awad, Omar I. & Azmi, W.H., 2018. "A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 665-686.
    6. Yatish, K.V. & Lalithamba, H.S. & Suresh, R. & Harsha Hebbar, H.R., 2018. "Optimization of bauhinia variegata biodiesel production and its performance, combustion and emission study on diesel engine," Renewable Energy, Elsevier, vol. 122(C), pages 561-575.
    7. 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.
    8. Agarwal, Deepak & Kumar, Lokesh & Agarwal, Avinash Kumar, 2008. "Performance evaluation of a vegetable oil fuelled compression ignition engine," Renewable Energy, Elsevier, vol. 33(6), pages 1147-1156.
    9. Krishnamurthy, K.N. & Sridhara, S.N. & Ananda Kumar, C.S., 2018. "Synthesis and optimization of Hydnocarpus wightiana and dairy waste scum as feed stock for biodiesel production by using response surface methodology," Energy, Elsevier, vol. 153(C), pages 1073-1086.
    10. Katre, Gouri & Raskar, Shubham & Zinjarde, Smita & Ravi Kumar, V. & Kulkarni, B.D. & RaviKumar, Ameeta, 2018. "Optimization of the in situ transesterification step for biodiesel production using biomass of Yarrowia lipolytica NCIM 3589 grown on waste cooking oil," Energy, Elsevier, vol. 142(C), pages 944-952.
    11. Agarwal, Deepak & Sinha, Shailendra & Agarwal, Avinash Kumar, 2006. "Experimental investigation of control of NOx emissions in biodiesel-fueled compression ignition engine," Renewable Energy, Elsevier, vol. 31(14), pages 2356-2369.
    12. Patel, Himanshu & Rajai, Vikram & Das, Prasanta & Charola, Samir & Mudgal, Anurag & Maiti, Subarna, 2018. "Study of Jatropha curcas shell bio-oil-diesel blend in VCR CI engine using RSM," Renewable Energy, Elsevier, vol. 122(C), pages 310-322.
    13. Virgínio e Silva, Joab Oliveira & Almeida, Manuel Fonseca & da Conceição Alvim-Ferraz, Maria & Dias, Joana Maia, 2018. "Integrated production of biodiesel and bioethanol from sweet potato," Renewable Energy, Elsevier, vol. 124(C), pages 114-120.
    14. Esonye, Chizoo & Onukwuli, Okechukwu Dominic & Ofoefule, Akuzuo Uwaoma, 2019. "Optimization of methyl ester production from Prunus Amygdalus seed oil using response surface methodology and Artificial Neural Networks," Renewable Energy, Elsevier, vol. 130(C), pages 61-72.
    Full references (including those not matched with items on IDEAS)

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