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Multi-objective optimisation of engine characteristics of an RCCI diesel engine powered with Jatropha/1-pentanol blend: a Taguchi-fuzzy approach

  • Advancements in Clean Energy for Sustainable Development
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Abstract

Researchers are examining the possibilities for alternative fuel research as a fossil fuel replacement in light of global energy insecurity and other urgent challenges like global warming, severe emissions, and growing industrialization. This research uses 1-pentanol as a low reactivity fuel and Jatropha biodiesel as a high reactivity fuel to explore the reactivity-controlled compression ignition engine characteristics. A water-cooled single-cylinder engine is used in an experiment with varied loads of 25%, 50%, and 75% at a constant speed of 2000 rpm to examine the effects of operational parameters (i.e., (23 bTDC, 25 bTDC, and 27 bTDC) and (400 bar, 500 bar, and 600 bar)). The fuzzy-based Taguchi approach predicts operational parameters, including fuel injection time, fuel injection pressure, and engine load. Utilizing this ideal model, one may increase brake thermal efficiency and braking power while minimizing unburned hydrocarbon and nitrogen oxide emissions. An L20 orthogonal array is used to analyze the effects of various variables on an engine running on B20/1-pentanol fuel, including engine load, fuel injection timing, and fuel injection pressure. Multiple models are generated and verified with the use of experimental findings. Compared to other operating parameters, for reducing oxides of nitrogen, hydrocarbons, and brake-specific energy consumption maximally, engine load of 75%, FIP of 400 bar, and FIT of 23 bTDC are optimal based on the greatest MPCI value of 0.802.

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The data acquired or analyzed during this investigation are incorporated in this article.

Abbreviations

FIT:

Fuel injection timing

RCCI:

Reactivity-controlled compression ignition engine

FIP:

Fuel injection pressure

EL:

Engine load

BTE:

Brake thermal efficiency

BP:

Brake power

HRR:

Heat release rate

UHC:

Unburnt hydrocarbons

BSEC:

Brake-specific energy consumption

Pmax :

Maximum pressure

NOx :

Oxides of nitrogen

HC:

Hydrocarbon

CO:

Carbon monoxide

EGR:

Exhaust gas recirculation

PM:

Particulate matters

GHG:

Greenhouse gasses

VVA:

Variable value actuation

LTC:

Low-temperature combustion

PCCI:

Premixed charge compression ignition

HCCI:

Homogenous charge compression ignition

EGT:

Exhaust gas temperature

JCO:

Jatropha caracus oil

References

  • Abu-Hamdeh NH, Alnefaie KA (2015) A comparative study of almond and palm oils as two bio-diesel fuels for diesel engine in terms of emissions and performance. Fuel 150:318–324. https://doi.org/10.1016/j.fuel.2015.02.040

    Article  CAS  Google Scholar 

  • Ağbulut Ü, Sarıdemir S, Albayrak S (2019) Experimental investigation of combustion, performance and emission characteristics of a diesel engine fuelled with diesel – biodiesel – alcohol blends. J Braz Soc Mech Sci Eng 41:1–12. https://doi.org/10.1007/s40430-019-1891-8

    Article  CAS  Google Scholar 

  • Ashok A, Gugulothu SK, Reddy RV, Burra B (2022a) Influence of 1-pentanol as the renewable fuel blended with Jatropha oil on the reactivity-controlled compression ignition engine characteristics and trade-off study with variable fuel injection pressure. Sustain Energy Technol Assess 52:102215

    Google Scholar 

  • Ashok A, Gugulothu SK, Reddy RV, Burra B (2022b) Influence of fuel injection timing and trade-off study on the RCCI engine characteristics of Jatropha oil-diesel blend under 1-pentanol dual-fuel strategies. Environ Sci Pollut Res 1–10. https://doi.org/10.1007/s11356-022-22039-3

  • Ashok A, Gugulothu SK, Reddy RV, Burra B, Panda JK (2022c) A systematic study of the influence of 1-pentanol as the renewable fuel blended with diesel on the reactivity controlled compression ignition engine characteristics and trade-off study with variable fuel injection pressure. Fuel 322:124166

    Article  CAS  Google Scholar 

  • Ashok A, Gugulothu SK, Reddy RV, Gurel AE, Deepanraj B (2022d) Prediction-optimization of the influence of 1-pentanol/Jatropha oil blends on RCCI engine characteristics using multi-objective response surface methodology. Renew Energy Focus 42:8–23

    Article  Google Scholar 

  • Athmakuri A, Gugulothu SK, Reddy RV (2022) Box-Behnken response surface methodology based multi-objective optimisation on reactivity controlled compression ignition engine characteristics powered with ternary fuel. J Energy Resour Technol 1–24

  • Aydin H, Ilkiliç C (2010) Effect of ethanol blending with biodiesel on engine performance and exhaust emissions in a CI engine. Appl Therm Eng 30(10):1199–1204. https://doi.org/10.1016/j.applthermaleng.2010.01.037

    Article  CAS  Google Scholar 

  • Banerjee R, Roy S, Bose PK (2015) Hydrogen-EGR synergy as a promising pathway to meet the PM-NOx-BSFC trade-off contingencies of the diesel engine: a comprehensive review. Int J Hydrogen Energy 40:12824–12847

    Article  CAS  Google Scholar 

  • Bose PK, Deb M, Banerjee R, Majumder A (2013) Multi objective optimization of performance parameters of a single cylinder diesel engine running with hydrogen using a Taguchi-fuzzy based approach. Energy 63:375–386. https://doi.org/10.1016/j.energy.2013.10.045

    Article  CAS  Google Scholar 

  • Caligiuri C, Renzi M, Bietresato M, Baratieri M (2019) Experimental investigation on the effects of bioethanol addition in diesel-biodiesel blends on emissions and performances of a micro-cogeneration system. Energy Convers Manage 185:55–65. https://doi.org/10.1016/j.enconman.2019.01.097

    Article  CAS  Google Scholar 

  • Deb M, Majumder A, Banerjee R, Sastry GRK, Bose PK (2014) A Taguchi-fuzzy based multi-objective optimization study on the soot-NOx-BTHE characteristics of an existing CI engine under dual fuel operation with hydrogen. Int J Hydrogen Energy 39(35):20276–20293. https://doi.org/10.1016/j.ijhydene.2014.09.171

    Article  CAS  Google Scholar 

  • Dewangan A, Yadav AK, Mallick A (2018) Current scenario of biodiesel development in India: prospects and challenges. Energy Sources, Part A: Recovery, Uti Environ Eff 40(20):2494–2501. https://doi.org/10.1080/15567036.2018.1502849

    Article  CAS  Google Scholar 

  • Dhar A, Kevin R, Agarwal AK (2012) Production of biodiesel from high-FFA neem oil and its performance, emission and combustion characterization in a single cylinder DICI engine. Fuel Process Technol 97:118–129. https://doi.org/10.1016/j.fuproc.2012.01.012

    Article  CAS  Google Scholar 

  • Fang Q, Fang J, Zhuang J, Huang Z (2013) Effects of ethanol–diesel–biodiesel blends on combustion and emissions in premixed low temperature combustion. Appl Therm Eng 54(2):541–548. https://doi.org/10.1016/j.applthermaleng.2013.01.042

    Article  CAS  Google Scholar 

  • Ferreira VP, Martins J, Torres EA, Pepe IM, De Souza JMSR (2013) Performance and emissions analysis of additional ethanol injection on a diesel engine powered with A blend of diesel-biodiesel. Energy Sustain Dev 17(6):649–657. https://doi.org/10.1016/j.esd.2013.08.005

    Article  CAS  Google Scholar 

  • Freedman B, Pryde EH, Mounts TL (1984) Variables affecting the yields of fatty esters from transesterified vegetable oils. J Am Oil Chem Soc 61(10):1638–1643. https://doi.org/10.1007/BF02541649

    Article  CAS  Google Scholar 

  • Ganapathy T, Murugesan K, Gakkhar RP (2009) Performance optimization of Jatropha biodiesel engine model using Taguchi approach. Appl Energy 86(11):2476–2486. https://doi.org/10.1016/J.APENERGY.2009.02.008

    Article  CAS  Google Scholar 

  • Graham-Rowe D (2011) Agriculture: beyond food versus fuel. Nature 474(7352):S6–S8. https://doi.org/10.1038/474S06a.Jamrozik

    Article  CAS  Google Scholar 

  • Jamrozik A (2017) The effect of the alcohol content in the fuel mixture on the performance and emissions of a direct injection diesel engine fueled with diesel-methanol and diesel-ethanol blends. Energy Conversion and Management 148:461–476

    Article  CAS  Google Scholar 

  • Karnwal A, Hasan MM, Kumar N, Siddiquee AN, Khan ZA (2011) Multi-response optimization of diesel engine performance parameters using thumba biodiesel-diesel blends by applying the Taguchi method and grey relational analysis. Int J Automot Technol 12(4):599–610. https://doi.org/10.1007/s12239-011-0070-4

    Article  Google Scholar 

  • Khan O, Khan ME, Yadav AK, Sharma D (2017) The ultrasonic-assisted optimization of biodiesel production from eucalyptus oil. Energy Sources, Part aA: Recovery, Util Environ Eff 39(13):1323–1331. https://doi.org/10.1080/15567036.2017.1328001

    Article  CAS  Google Scholar 

  • Kishore NP, Gugulothu SK (2021) Effect of iron oxide nanoparticles blended concentration on performance, combustion and emission characteristics of CRDI diesel engine running on mahua methyl ester biodiesel. J Inst Eng (India): Series C 1–14

  • Krishna S, Salam PA, Tongroon M, Chollacoop N (2019) Performance and emission assessment of optimally blended biodiesel-diesel-ethanol in diesel engine generator. Appl Therm Eng 155:525–533. https://doi.org/10.1016/j.applthermaleng.2019.04.012

    Article  CAS  Google Scholar 

  • Kumar Bose P, Banerjee R (2012) An experimental investigation on the role of hydrogen in the emission reduction and performance trade-off studies in an existing diesel engine operating in dual fuel mode under exhaust gas recirculation. J Energy Resour Technol 134 (1) https://doi.org/10.1115/1.4005246

  • Labeckas G, Slavinskas S, Mažeika M (2014) The effect of ethanol–diesel–biodiesel blends on combustion, performance and emissions of a direct injection diesel engine. Energy Convers Manage 79:698–720. https://doi.org/10.1016/j.enconman.2013.12.064

    Article  CAS  Google Scholar 

  • Lee W-J, Liu Y-C, Mwangi FK, Chen W-H, Lin S-L, Fukushima Y, Liao C-N, Wang L-C (2011) Assessment of energy performance and air pollutant emissions in a diesel engine generator fueled with water-containing ethanol– biodiesel–diesel blend of fuels. Energy 36(9):5591–5599. https://doi.org/10.1016/j.energy.2011.07.012

    Article  CAS  Google Scholar 

  • Nagi J, Khaleel Ahmed S (2016) Palm biodiesel an alternative green renewable energy for the energy demands of the future. ICCBT/ F - (07):79–94

  • Nutakki PK, Gugulothu SK (2022) Influence of the effect of nanoparticle additives blended with mahua methyl ester on performance, combustion, and emission characteristics of CRDI diesel engine. Environ Sci Pollut Res 29(1):70–81

    Article  CAS  Google Scholar 

  • Panda JK, Sastry GRK, Rai RN (2017) A Taguchi-fuzzy-based multi-objective optimization of a direct injection diesel engine fueled with different blends of Leucas Zeylanica methyl ester and 2-ethylhexyl nitrate diesel additive with diesel. J Energy Res Technol 139(4):042209. https://doi.org/10.1115/1.4036323

    Article  CAS  Google Scholar 

  • Panda JK, Sastry GRK, Rai RN (2018) Experimental analysis of performance and emission on DI diesel engine fueled with diesel-palm kernel methyl ester-triacetin blends: a Taguchi fuzzy-based optimization. Environ Sci Pollut Res 25(22):22035–51. https://doi.org/10.1007/s11356-018-2228-3

    Article  CAS  Google Scholar 

  • Paul A, Bose PK, Panua RS, Banerjee R (2013) An experimental investigation of performance-emission trade off of a CI engine fueled by diesel–compressed natural gas (CNG) combination and diesel–ethanol blends with CNG enrichment. Energy 55:787–802. https://doi.org/10.1016/j.energy.2013.04.002

    Article  CAS  Google Scholar 

  • Paul A, Panua R, Debroy D, Kumar Bose P (2016) A performance-emission tradeoff study of a CI engine fueled by compressed natural gas (CNG)/diesel-ethanol-PPME blend combination. Environ Prog Sustain Energy 35(2):517–530. https://doi.org/10.1002/ep.12223

    Article  CAS  Google Scholar 

  • Qi DH, Chen H, Matthews RD, Bian YZ (2010) Combustion and emission characteristics of ethanol– biodiesel–water micro-emulsions used in a direct injection compression ignition engine. Fuel 89(5):958–964. https://doi.org/10.1016/j.fuel.2009.06.029

    Article  CAS  Google Scholar 

  • Qi DH, Chen H, Geng LM, Bian YZ (2011) Effect of diethyl ether and ethanol additives on the combustion and emission characteristics of biodiesel-diesel blended fuel engine. Renew Energy 36(4):1252–1258. https://doi.org/10.1016/j.renene.2010.09.021

    Article  CAS  Google Scholar 

  • Rahman SMA, Masjuki HH, Kalam MA, Sanjid A, Abedin MJ, Anjabeen B, Saha D, Hassan S, Islam MM, Alam M (2015) Engine performance and exhaust emission of a diesel engine using palm biodiesel blends at high idling operations. Mech Eng Res J 48−53

  • Ramachander J, Gugulothu SK, Sastry GR, Surya MS (2021a) Statistical and experimental investigation of the influence of fuel injection strategies on CRDI engine assisted CNG dual fuel diesel engine. Int J Hydrogen Energy 46(42):22149–22164

  • Ramachander J, Gugulothu SK, Sastry GRK, Panda JK, Surya MS (2021b) Performance and emission predictions of a CRDI engine powered with diesel fuel: a combined study of injection parameters variation and Box-Behnken response surface methodology based optimization. Fuel 290:120069

    Article  CAS  Google Scholar 

  • Ramachander J, Gugulothu SK (2022a) Performance, combustion, and emission characteristics of a common rail direct injection diesel engine fueled by diesel/n-amyl alcohol blends with exhaust gas recirculation technique. J Energy Resour Technol 144(3)

  • Ramachander J, Gugulothu SK (2022b) Performance, combustion, and emission characteristics of a common rail direct injection diesel engine fueled by diesel/n-amyl alcohol blends with exhaust gas recirculation technique. J Energy Resour Technol 144(3)

  • Şahin Z, Durgun O (2009) Prediction of the effects of ethanol-diesel fuel blends on diesel engine performance characteristics, combustion, exhaust emissions, and cost. Energy Fuels 23(3):1707–1717. https://doi.org/10.1021/ef800587e

    Article  CAS  Google Scholar 

  • Sakthivel G, Ilangkumaran M (2017) Optimisation of compression ignition engine performance with fishoil biodiesel using Taguchi-fuzzy approach. Int J Ambient Energy 38(2):146–160. https://doi.org/10.1080/01430750.2015.1074613

    Article  CAS  Google Scholar 

  • Schuchardt U, Sercheli R, Vargas RM (1998) Transesterification of vegetable oils: a review. J Braz Chem Soc 9(3):199–210. https://doi.org/10.1590/S0103-50531998000300002

    Article  CAS  Google Scholar 

  • Seelam N, Gugulothu SK, Bhasker B, Mulugundum S, Sastry GR (2022) Investigating the role of fuel injection pressure and piston bowl geometries to enhance performance and emission characteristics of hydrogen-enriched diesel/1-pentanol fueled in CRDI diesel engine. Environ Sci Pollut Res 1–15

  • Shi X, Pang X, Mu Y, He H, Shuai S, Wang J, Chen H, Li R (2006) Emission reduction potential of using ethanol–biodiesel–diesel fuel blend on a heavy-duty diesel engine. Atmos Environ 40(14):2567–2574. https://doi.org/10.1016/j.atmosenv.2005.12.026

    Article  CAS  Google Scholar 

  • Sivaramakrishnan K, Ravikumar P (2012) Performance optimization of Karanja biodiesel engine using Taguchi approach and multiple regressions. ARPN J Eng Appl Sci 506–516

  • Stone R (1992) Introduction to internal combustion engines. Macmillan Press, Hampshire

    Book  Google Scholar 

  • Tutak AW, Pyrc M, Sobiepanski M (2017) Effect of diesel-biodiesel-ethanol blend on combustion, performance, and emissions characteristics on a direct injection diesel engine. Thermal Science 21(1 Part B):591–604. https://doi.org/10.2298/TSCI160913275J

    Article  Google Scholar 

  • Wu H-W, Wu Z-Y (2013) Using Taguchi method on combustion performance of a diesel engine with diesel/ biodiesel blend and port-inducting H2. Appl Energy 104:362–370. https://doi.org/10.1016/j.apenergy.2012.10.055

    Article  CAS  Google Scholar 

  • Yadav VS, Tripathi S, Singh AR (2018a) Bi-objective optimization for sustainable supply chain network design in omnichannel. Journal of Manufacturing Technology Management 30(6):972–986

    Article  Google Scholar 

  • Yadav AK, Vinay V, Singh B (2018b) Optimization of biodiesel production from Annona squamosa seed oil using response surface methodology and its characterization. Energy Sources, Part A: Recovery, Util Environ Eff 40(9):1051–1059. https://doi.org/10.1080/15567036.2018.1468516

    Article  CAS  Google Scholar 

  • Yasar A, Bilgili M, Yildizhan S (2015) The influence of diesel-biodiesel-alcohol blends on the performance and emissions in a diesel engine. Int J Sci Technol Res 1:52–61

    Google Scholar 

  • Yilmaz N, Vigil FM, Donaldson AB, Darabseh T (2014) Investigation of CI engine emissions in biodiesel– ethanol–diesel blends as a function of ethanol concentration. Fuel 115:790–793. https://doi.org/10.1016/j.fuel.2013.08.012

    Article  CAS  Google Scholar 

  • Zadeh LA (1961) Time-varying networks, I. Proceedings of the IRE 49(10):1488–1503

    Article  Google Scholar 

  • Zhu L, Cheung CS, Zhang WG, Huang Z (2011) Combustion, performance and emission characteristics of a DI diesel engine fueled with ethanol–biodiesel blends. Fuel 90(5):1743–1750. https://doi.org/10.1016/j.fuel.2011.01.024

    Article  CAS  Google Scholar 

  • Zhu H, Bohac SV, Nakashima K, Hagen LM, Huang Z, Assanis DN (2013) Effect of biodiesel and ethanol on load limits of high-efficiency premixed low-temperature combustion in a diesel engine. Fuel 106:773–778. https://doi.org/10.1016/j.fuel.2012.10.073

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Andhra Pradesh, Tadepalligudem, India

    Athmakuri Ashok & Santhosh Kumar Gugulothu

  2. Department of Mechanical Engineering, ANURAG University, Hyderabad, India

    Ragireddy Venkat Reddy & Srinivasa Chalapathi Kolluri

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  1. Athmakuri Ashok
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  2. Santhosh Kumar Gugulothu
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  3. Ragireddy Venkat Reddy
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  4. Srinivasa Chalapathi Kolluri
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Contributions

Santhosh Kumar Gugulothu: conceptualization, procedure, writing – review and editing, supervision; Athmakuri Ashok: experimental analysis, procedure, and writing; Ragireddy Venkat Reddy: supervision; Srinivasa Chalapathi Kolluri: analysis exploration and documentation.

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Correspondence to Athmakuri Ashok.

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Ashok, A., Gugulothu, S.K., Reddy, R.V. et al. Multi-objective optimisation of engine characteristics of an RCCI diesel engine powered with Jatropha/1-pentanol blend: a Taguchi-fuzzy approach. Environ Sci Pollut Res 30, 72114–72129 (2023). https://doi.org/10.1007/s11356-022-23288-y

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