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Environmental Science and Pollution Research

, Volume 25, Issue 29, pp 29115–29128 | Cite as

Optimization in the performance and emission parameters of a DI diesel engine fuelled with pentanol added Calophyllum inophyllum/diesel blends using response surface methodology

  • Purnachandran Ramakrishnan
  • Ramesh Kasimani
  • Mohamed Shameer Peer
Research Article

Abstract

The primary objective of this work was to enhance the performance and emission of the computerized variable compression ratio (VCR) diesel engine fuelled with pentanol/Calophyllum inophyllum (CI)/diesel fuel blends. Based on the prerequisite for the current research, response surface methodology (RSM), an optimization technique, was adopted for the process parameters compression ratio (CR), load and fuel blends, and the optimized responses like brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), oxides of nitrogen (NOx), carbon monoxide (CO), carbon dioxide (CO2), hydrocarbon (HC), and smoke were revealed with the help of Derringer’s desirability approach. From the results, it is notified that pentanol-fuelled engine showed better performance and emissions at 17.5 CR, P20C20 (pentanol 20%+Calophyllum inophyllum 20%+diesel 60%) blend and 2.5 bmep (brake mean effective pressure) load conditions. The observed mathematical models and validation experiments show that the VCR diesel engine exhibits maximum efficiency and minimum emissions at the optimized input parameters.

Keywords

Pentanol Calophyllum inophyllum Performance Emission Combustion Compression ratio Response surface methodology 

Nomenclature

CI

Calophyllum inophyllum

DI

Direct injection

CO

Carbon monoxide

CO2

Carbon dioxide

NOx

Oxides of nitrogen

NO

Nitric oxide

HC

Hydrocarbon

VCR

Variable compression ratio

P10C20

Pentanol 10%+Calophyllum inophyllum 20%+diesel 70%

P15C20

Pentanol 15%+Calophyllum inophyllum 20%+diesel 65%

P20C20

Pentanol 20%+Calophyllum inophyllum 20%+diesel 60%

CI20

Calophyllum inophyllum 20%+diesel 80%

BTE

Brake thermal efficiency

BSFC

Brake specific fuel consumption

bmep

Brake mean effective pressure

CR

Compression ratio

MDS

Modular diagnostic system

RSM

Response surface methodology

ANN

Artificial neural network

DOE

Design of experiments

References

  1. Anand K, Sharma RP, Mehta PS (2011) Experimental investigation on combustion, performance and emission characteristics of neat karanji biodiesel and its methanol blend in a diesel engine. Biomass Bioenergy 35:533–541CrossRefGoogle Scholar
  2. Bharadwaz YD, Rao BG, Rao VD, Anusha C (2016) Improvement of biodiesel methanol blends performance in a variable compression ratio engine using response surface methodology. Alexandria Engineering Journal 55:1201–1209CrossRefGoogle Scholar
  3. Bora JB, Saha UK (2016) Optimisation of injection timing and compression ratio of a raw biogas powered dual fuel diesel engine. Appl Therm Eng 92:111–121CrossRefGoogle Scholar
  4. Bora JB, Saha UK, Chatterjee S, Veer V (2014) Effect of compression ratio on performance, combustion and emission characteristics of a dual fuel diesel engine run on raw biogas. Energy Convers Manag 87:1000–1009CrossRefGoogle Scholar
  5. Chen G, Yu W, Li Q, Huang Z (2012a) Effects of n-butanol addition on the performance and emissions of a turbocharged common-rail diesel engine.  https://doi.org/10.4271/2012-01-0852
  6. Chen Z, Liu J, Han Z, Du B, Liu Y, Lee C (2012b) Study on performance and emissions of a passenger-car diesel engine fueled with butanol/diesel blends. Energy 55:638–646CrossRefGoogle Scholar
  7. Choudhary AK, Chelladurai H, Kannan C (2015) Optimization of combustion performance of bioethanol (water hyacinth) diesel blends on diesel engine using response surface methodology. Arab J Sci Eng 40:3675–3695.  https://doi.org/10.1007/s13369-015-1810-y CrossRefGoogle Scholar
  8. Dhingra S, Bhushan G, Dubey KK (2014) Multiobjective optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using non dominated sorting genetic algorithm-II. Front Mech Eng 9:81–94CrossRefGoogle Scholar
  9. Eugene EE, Bechtold RL, Timbario TJ, McCallum PW (1984) State-of the-art report on the use of alcohols in diesel engines. SAE paper no.840118Google Scholar
  10. Fattah IR, Kalam M, Masjuki H, Wakil M (2014) Biodiesel production, characterization, engine performance, and emission characteristics of Malaysian Alexandrian laurel oil. RSC Adv 4:17787–17796CrossRefGoogle Scholar
  11. Ganapathy T, Gakkhar RP, Murugesan K (2011) Optimization of performance parameters of diesel engine with Jatropha biodiesel using response surface methodology. International Journal of Sustainable Energy 30:S76–S90.  https://doi.org/10.1080/14786451.2011.594889 CrossRefGoogle Scholar
  12. Giakoumis EG, Rakopoulos CD, Dimaratos AM, Rakopoulos DC (2013) Exhaust emissions with ethanol or n-butanol diesel fuel blends during transient operation: a review. Renew Sust Energ Rev 17:170–190CrossRefGoogle Scholar
  13. Hirkude JB, Padalkar AS (2014) Performance optimization of CI engine fuelled with waste fried oil methyl ester-diesel blend using response surface methodology. Fuel 119:266–273CrossRefGoogle Scholar
  14. Ileri E, Karaoglan D, Atmanli A (2013) Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methylester. Journal of Renewable and Sustainable Energy 5(033132):1–19Google Scholar
  15. Imtenan S, Masjuki H, Varman M, Kalam MA, Arbab MI, Sajjad H, Rahman SMA (2014) Impact of oxygenated additives to palm and jatropha biodiesel blends in the context of performance and emissions characteristics of a light-duty diesel engine. Energy Convers Manag 83:149–158CrossRefGoogle Scholar
  16. Kassaby MEL, Nemitallah MA (2013) Studying the effect of compression ratio on an engine fueled with waste oil produced biodiesel/diesel fuel. Alexandria Engineering Journal 52:1–13CrossRefGoogle Scholar
  17. Kesgin U (2004) Genetic algorithm and artificial neural network for engine optimization of efficiency and NOx emission. Fuel 8:885–895CrossRefGoogle Scholar
  18. Kocak MS, Ileri E, Utlu Z (2007) Experimental study of emission parameters of biodiesel fuels obtained from canola, hazelnut, and waste cooking oils. Energy Fuel 21:3622–3626CrossRefGoogle Scholar
  19. Lapuerta M, Armas O, Herreros JM (2008) Emissions from a diesel–bioethanol blend in an automotive diesel engine. Fuel 87:25–31CrossRefGoogle Scholar
  20. Lapuerta M, Contreras RG, Fernández JC, Dorado MP (2010) Stability, lubricity, viscosity, and cold-flow properties of alcohol-diesel blends. Energy Fuel 24:4497–4502CrossRefGoogle Scholar
  21. Namvar AM, Soltanieh M, Rashidi A, Irandoukht A (2008) Modeling and preparation of activated carbon for methane storage I. Modeling of activated carbon characteristics with neural networks and response surface method. Energy Convers Manag 49:2471–2477CrossRefGoogle Scholar
  22. Pamnani R, Vasudevan M, Vasantharaja P, Jayakumar T (2015) Optimization of AGTAW welding parameters for naval steel (DMR 249 A) by design of experiments approach. Proc Inst Mech Eng L J Mater Design Appl 231:320–331.  https://doi.org/10.1177/1464420715596455. 12 ppCrossRefGoogle Scholar
  23. Pandian M, Sivapirakasam SP, 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-diesel blend using response surface methodology. Appl Energy 88:2663–2676CrossRefGoogle Scholar
  24. Qi DH, Lee CF, Jia CC, Wang PP, Wu ST (2014) Experimental investigations of combustion and emission characteristics of rapeseed oil–diesel blends in a two cylinder agricultural diesel engine. Energy Convers Manag 77:227–232CrossRefGoogle Scholar
  25. Rakopoulos DC, Rakopoulos CD, Giakoumis EG, Dimaratos AM, Kyritsis DC (2010) Effects of butanol-diesel fuel blends on the performance and emissions of a high-speed DI diesel engine. Energy Convers Manag 5:1989–1997CrossRefGoogle Scholar
  26. Ramakrishnan P, Kasimani R, Peer MS, Rajamohan S (2018) Assessment of n-pentanol/Calophyllum inophyllum/diesel blends on the performance, emission, and combustion characteristics of a constant-speed variable compression ratio direct injection diesel engine.  https://doi.org/10.1007/s11356-018-1566-5
  27. Sahin Z, Aksu ON (2015) Experimental investigation of the effects of using low ratio n-butanol/diesel fuel blends on engine performance and exhaust emissions in a turbocharged DI diesel engine. Renew Energy 77:279–290CrossRefGoogle Scholar
  28. Sakthivel R, Ramesh K (2018) Analytical characterization of products obtained from slow pyrolysis of Calophyllum inophyllum seed cake: study on performance and emission characteristics of direct injection diesel engine fuelled with bio-oil blends.  https://doi.org/10.1007/s11356-018-1241-x
  29. Sakthivel R, Ramesh K, Purnachandran R, Shameer PM (2018) A review on the properties, performance and emission aspects of the third generation biodiesels. Renew Sust Energ Rev 82:2970–2992CrossRefGoogle Scholar
  30. Sayin C, Ertunc HM, Hosoz M, Kilicaslan I, Canakci M (2007) Performance and exhaust emissions of a gasoline engine using artificial neural network. Appl Therm Eng 27:46–54CrossRefGoogle Scholar
  31. Shameer PM, Ramesh K (2017a) Assessment on the consequences of injection timing and injection pressure on combustion characteristics of sustainable biodiesel fuelled engine. Renew Sust Energ Rev 81:45–61.  https://doi.org/10.1016/j.rser.2017.07.048 CrossRefGoogle Scholar
  32. Shameer PM, Ramesh K (2017b) FTIR assessment and investigation of synthetic antioxidant on the fuel stability of Calophyllum inophyllum biodiesel. Fuel 209:411–416.  https://doi.org/10.1016/j.fuel.2017.08.006 CrossRefGoogle Scholar
  33. Shameer PM, Ramesh K (2017c) Influence of antioxidants on fuel stability of Calophyllum inophyllum biodiesel and RSM-based optimization of engine characteristics at varying injection timing and compression ratio. Journal of Brazilian Society of Mechanical sciences and technology 39(11):4251–4273.  https://doi.org/10.1007/s40430-017-0884-8 CrossRefGoogle Scholar
  34. Shameer PM, Ramesh K (2017d) FTIR evaluation on the fuel stability of calophyllum inophyllum biodiesel: influence of tert-butyl hydroquinone (TBHQ) antioxidant. J Mech Sci Technol 31:3611–3617CrossRefGoogle Scholar
  35. Shameer PM, Ramesh K (2017e) Study on clean technology-assisted combustion behavior and NOx emission using thermal imager for alternate fuel blends. Int J Environ Sci Technol.  https://doi.org/10.1007/s13762-017-1353-8
  36. Shameer PM, Ramesh K, Sakthivel R, Purnachandran R (2016) Assessment on the influence of compression ratio on the performance, emission and combustion characteristics of diesel engine fuelled with biodiesel. Asian Journal of Research in Social Sciences and Humanities 6:344–372.  https://doi.org/10.5958/2249-7315.2016.01297 CrossRefGoogle Scholar
  37. Sharma A, Murugan S (2015) Potential for using a tyre pyrolysis oil-biodiesel blend in a diesel engine at different compression ratios. Energy Convers Manag 93:289–297CrossRefGoogle Scholar
  38. Teoh Y, Masjuki H, Kalam M, Amalina M, How H (2013) Impact of waste cooking oil biodiesel on performance, exhaust emission and combustion characteristics in a light-duty diesel engine. SAE Technical Paper.  https://doi.org/10.4271/2013-01-2679
  39. Win Z, Gakkhar RP, Jain SC, Bhattacharya M (2005) Parameter optimization of a diesel engine to reduce noise, fuel consumption and exhaust emissions using response surface methodology. Journal of Automobile Engineering 219:1181–1192CrossRefGoogle Scholar
  40. Xu H, Yin B, Liu S, Jia H (2017) Performance optimization of diesel engine fueled with diesel–jatropha curcas biodiesel blend using response surface methodology. J Mech Sci Technol 31:4051–4059CrossRefGoogle Scholar
  41. Yao M, Wang H, Zheng Z, Yue Y (2010) Experimental study of n-butanol additive and multi-injection on HD diesel engine performance and emissions. Fuel 89(9):2191–2201Google Scholar
  42. Yilmaz N, Atmanli A (2017) Experimental evaluation of a diesel engine running on the blends of diesel and pentanol as a next generation higher alcohol. Fuel 210:75–82CrossRefGoogle Scholar
  43. Yilmaz N, Sanchez TM (2012) Analysis of operating a diesel engine on biodiesel–ethanol and biodiesel–methanol blends. Energy 46:126–129CrossRefGoogle Scholar
  44. Yilmaz N, Atmanli A, Trujillo M (2017) Influence of 1-pentanol additive on the performance of a diesel engine fueled with waste oil methyl ester and diesel fuel. Fuel 207:461–469CrossRefGoogle Scholar
  45. Zhang ZH, Balasubramanian R (2016) Investigation of particulate emission characteristics of a diesel engine fueled with higher alcohols/biodiesel blends. Appl Energy 163:71–80CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Research ScholarGovernment College of TechnologyCoimbatoreIndia
  2. 2.DindigulIndia
  3. 3.Department of Mechanical Engineering, Faculty of EngineeringGovernment College of TechnologyCoimbatoreIndia
  4. 4.Department of Mechanical Engineering, Faculty of EngineeringVV College of EngineeringTirunelveliIndia

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