Economic analysis and TOPSIS approach to optimize the CI engine characteristics using span 80 mixed carbon nanotubes emulsified Sapindus trifoliatus (soapnut) biodiesel by artificial neural network prediction model
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DOI: 10.1016/j.apenergy.2023.122309
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- Najafi, G. & Ghobadian, B. & Tavakoli, T. & Buttsworth, D.R. & Yusaf, T.F. & Faizollahnejad, M., 2009. "Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network," Applied Energy, Elsevier, vol. 86(5), pages 630-639, May.
- Mehra, Roopesh Kumar & Duan, Hao & Luo, Sijie & Rao, Anas & Ma, Fanhua, 2018. "Experimental and artificial neural network (ANN) study of hydrogen enriched compressed natural gas (HCNG) engine under various ignition timings and excess air ratios," Applied Energy, Elsevier, vol. 228(C), pages 736-754.
- Yesilyurt, Murat Kadir & Cesur, Cüneyt & Aslan, Volkan & Yilbasi, Zeki, 2020. "The production of biodiesel from safflower (Carthamus tinctorius L.) oil as a potential feedstock and its usage in compression ignition engine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
- Canakci, Mustafa & Erdil, Ahmet & Arcaklioglu, Erol, 2006. "Performance and exhaust emissions of a biodiesel engine," Applied Energy, Elsevier, vol. 83(6), pages 594-605, June.
- Fayad, M.A. & Tsolakis, A. & Fernández-Rodríguez, D. & Herreros, J.M. & Martos, F.J. & Lapuerta, M., 2017. "Manipulating modern diesel engine particulate emission characteristics through butanol fuel blending and fuel injection strategies for efficient diesel oxidation catalysts," Applied Energy, Elsevier, vol. 190(C), pages 490-500.
- EL-Seesy, Ahmed I. & Hassan, Hamdy, 2019. "Investigation of the effect of adding graphene oxide, graphene nanoplatelet, and multiwalled carbon nanotube additives with n-butanol-Jatropha methyl ester on a diesel engine performance," Renewable Energy, Elsevier, vol. 132(C), pages 558-574.
- Deb, Madhujit & Debbarma, Bishop & Majumder, Arindam & Banerjee, Rahul, 2016. "Performance –emission optimization of a diesel-hydrogen dual fuel operation: A NSGA II coupled TOPSIS MADM approach," Energy, Elsevier, vol. 117(P1), pages 281-290.
- Channapattana, S.V. & Pawar, Abhay A. & Kamble, Prashant G., 2017. "Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model," Applied Energy, Elsevier, vol. 187(C), pages 84-95.
- Yusaf, Talal F. & Buttsworth, D.R. & Saleh, Khalid H. & Yousif, B.F., 2010. "CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network," Applied Energy, Elsevier, vol. 87(5), pages 1661-1669, May.
- Patel, Rupesh L. & Sankhavara, C.D., 2017. "Biodiesel production from Karanja oil and its use in diesel engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 464-474.
- Ağbulut, Ümit & Elibol, Erdem & Demirci, Tuna & Sarıdemir, Suat & Gürel, Ali Etem & Rajak, Upendra & Afzal, Asif & Verma, Tikendra Nath, 2022. "Synthesis of graphene oxide nanoparticles and the influences of their usage as fuel additives on CI engine behaviors," Energy, Elsevier, vol. 244(PA).
- Tzeng, Gwo-Hshiung & Lin, Cheng-Wei & Opricovic, Serafim, 2005. "Multi-criteria analysis of alternative-fuel buses for public transportation," Energy Policy, Elsevier, vol. 33(11), pages 1373-1383, July.
- Murugesan, A. & Umarani, C. & Subramanian, R. & Nedunchezhian, N., 2009. "Bio-diesel as an alternative fuel for diesel engines--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 653-662, April.
- Bhuiya, M.M.K. & Rasul, M.G. & Khan, M.M.K. & Ashwath, N. & Azad, A.K., 2016. "Prospects of 2nd generation biodiesel as a sustainable fuel—Part: 1 selection of feedstocks, oil extraction techniques and conversion technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1109-1128.
- Sharma, Abhishek & Ansari, Naushad Ahmad & Pal, Amit & Singh, Yashvir & Lalhriatpuia, S., 2019. "Effect of biogas on the performance and emissions of diesel engine fuelled with biodiesel-ethanol blends through response surface methodology approach," Renewable Energy, Elsevier, vol. 141(C), pages 657-668.
- Sivaraja, C.M. & Sakthivel, G., 2017. "Compression ignition engine performance modelling using hybrid MCDM techniques for the selection of optimum fish oil biodiesel blend at different injection timings," Energy, Elsevier, vol. 139(C), pages 118-141.
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Keywords
Optimization; ANN; TOPSIS-MCDM; Biodiesel; Span80; Carbon nanotubes;All these keywords.
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