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Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo-economic assessment

  • Cleaner Production and Sustainable Processes for Environmental Remediation
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Abstract

The current study focuses on the engine performance and emission analysis of a 4-stroke compression ignition engine powered by waste plastic oil (WPO) obtained by the catalytic pyrolysis of medical plastic wastes. This is followed by their optimization study and economic analysis. This study demonstrates the use of artificial neural networks (ANN) to forecast a multi-component fuel mixture, which is novel and reduces the amount of experimental effort required to determine the engine output characteristics. The engine tests were conducted using WPO blended diesel at various proportions (10%, 20%, 30% by volume) to acquire the required data for training the ANN model, which enables better prediction for the engine performance by making use of the standard back-propagation algorithm. Considering supervised data obtained from repeated engine tests, an artificial intelligence-based model of ANN was designed to select different parameters of performance and emission as output layers; at the same time, engine loading and different blending ratios of the test fuels were taken as the input layers. The ANN model was built up making use of 80% of testing outcomes for training. The ANN model forecasted engine performance and exhaust emission with regression coefficients (R) at 0.989–0.998 intervals and a mean relative error from 0.002 to 0.348%. Such results illustrated the effectiveness of the ANN model for estimating emissions and the performance of diesel engines. Moreover, the economic viability of the use of 20WPO as an alternative to diesel was justified by thermo-economic analysis.

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Abbreviations

WPO :

Waste plastic oil

ANN :

Artificial neural network

BTE :

Brake thermal efficiency

BSFC :

Brake-specific fuel consumption

CI :

Compression ignition

CO :

Carbon monoxide

DI :

Direct injection

EGT :

Exhaust gas temperature

FTIR :

Fourier transform infrared spectroscopy

GCMS :

Gas chromatography mass spectrometry

GCV :

Gross calorific value

ASTM :

American Society for Testing and Materials

HC :

Hydro carbon

MSE :

Mean square error

NO x :

Nitrogen oxide

PID :

Proportional integral derivative

References

  • Atik K, Kahraman N, Ceper BİLGE (2013) Prediction of performance and emission parameters of an SI engine by using artificial neural networks. Journal of Thermal Science and Technology 33(2):57–64

    Google Scholar 

  • Ayodhya AS, LamaniVT BP, Kumar GN (2018) Effect of exhaust gas recirculation on a CRDI engine fueled with waste plastic oil blend. Fuel 227:394–400

    Article  CAS  Google Scholar 

  • Canakci M, Erdil A, Arcaklioğlu E (2006) Performance and exhaust emissions of a biodiesel engine. Appl Energy 83(6):594–605

    Article  CAS  Google Scholar 

  • Çelik V, Arcaklioğlu E (2005) Performance maps of a diesel engine. Appl Energy 81(3):247–259

    Article  Google Scholar 

  • Damodharan D, Sathiyagnanam AP, Rana D, Kumar BR, Saravanan S (2018) Combined influence of injection timing and EGR on combustion, performance and emissions of DI diesel engine fueled with neat waste plastic oil. Energy Convers Manag 161:294–305

    Article  CAS  Google Scholar 

  • Das AK (2021) Prediction of engine performance in a single-cylinder diesel engine fueled with waste plastic oil, ethanol, and diesel blend by artificial neural network . SAE Technical Paper 2021-01-5072. https://doi.org/10.4271/2021-01-5072

  • Das AK, Panda AK, Hansdah D (2019) Energetic and exergetic performance analysis of a CI engine fuelled with diesel-blended plastic pyrolytic oil. Renewable Energy and its Innovative Technologies 1:155–171

    Article  Google Scholar 

  • Das AK, Hansdah D, Mohapatra AK, Panda AK (2020) Energy, exergy and emission analysis on a DI single cylinder diesel engine using pyrolytic waste plastic oil diesel blend. J Energy Inst 93(4):1624–1633

    Article  CAS  Google Scholar 

  • Das AK, Sahoo SS, Panda AK (2021a) Production of waste plastics oil and its prospective use in a variable compression CI Engine. J Hazard, Toxic, Radioact Waste 25(3):04021008

    Article  CAS  Google Scholar 

  • Das AK, Hansdah D, Panda AK (2021b) Thermal balancing and exergetic performance evaluation of a compression ignition engine fuelled with waste plastic pyrolytic oil and different fuel additives. Energy 229:120629

    Article  CAS  Google Scholar 

  • Das AK, Mohapatra T, Panda AK, Sahoo SS (2021c) Study on the performance and emission characteristics of pyrolytic waste plastic oil operated CI engine using response surface methodology. J Clean Prod 328:129646

    Article  CAS  Google Scholar 

  • Das AK, Sahu SK, Panda AK (2022a) Current status and prospects of alternate liquid transportation fuels in compression ignition engines: a critical review. Renew Sustain Energy Rev 161:112358

    Article  CAS  Google Scholar 

  • Das A K, Rout S K, Panda A K (2022b) Thermolysis of medical plastic wastes using zeolite A catalyst-kinetic study, experimental optimization and validation, Sustainable environmental processes and technologies of Journal of Environmental Engineering and Landscape Management 30(2):249–258.

  • de Lucas A, Durán A, Carmona M, Lapuerta M (2001) Modeling diesel particulate emissions with neural networks. Fuel 80(4):539–548

    Article  Google Scholar 

  • Dhande DY, Choudhari CS, Gaikwad DP, Dahe KB (2022) Development of artificial neural network to predict performance of spark ignition engine fuelled with waste pomegranate ethanol blends. Inform Process Agric. https://doi.org/10.1016/j.inpa.2022.05.001

    Article  Google Scholar 

  • Ghobadian B, Rahimi H, Nikbakht AM, Najafi G, Yusaf TF (2009) Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network. Renew Energy 34(4):976–982

    Article  CAS  Google Scholar 

  • Gnanamoorthi V, Purushothaman P, GurusamyA DG (2021) Prediction efficiency of artificial neural network for CRDI engine output parameters. Transp Eng 3:100041

    Article  Google Scholar 

  • Gnanasekaran S, Saravanan N, Ilangkumaran M (2016) Influence of injection timing on performance, emission and combustion characteristics of a DI diesel engine running on fish oil biodiesel. Energy 116:1218–1229

    Article  CAS  Google Scholar 

  • Güngör C, Serin H, Özcanlı M, Serin S, Aydın K (2015) Engine performance and emission characteristics of plastic oil produced from waste polyethylene and its blends with diesel fuel. Int J Green Energy 12(1):98–105

    Article  Google Scholar 

  • Kaimal VK, Vijayabalan P (2016) A study on synthesis of energy fuel from waste plastic and assessment of its potential as an alternative fuel for diesel engines. Waste Manag 51:91–96

    Article  CAS  Google Scholar 

  • Kalargaris I, Tian G, Gu S (2017) Combustion, performance and emission analysis of a DI diesel engine using plastic pyrolysis oil. Fuel Process Technol 157:108–115

    Article  CAS  Google Scholar 

  • Khandal SV, Gadwal SB, Raikar VA, Yunus Khan TM, Badruddin IA (2021) An experimental-based artificial neural network performance study of common rail direct injection engine run on plastic pyrolysis oil. Int J Sustain Eng 14(2):137–146

    Article  Google Scholar 

  • Kiani MKD, Ghobadian B, Tavakoli T, Nikbakht AM, Najafi G (2010) Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol-gasoline blends. Energy 35(1):65–69

    Article  Google Scholar 

  • Kim D, Shin S, Sohn S, Choi J, Ban B (2002) Waste plastics as supplemental fuel in the blast furnace process: improving combustion efficiencies. J Hazard Mater 94(3):213–222

    Article  CAS  Google Scholar 

  • Kumar R, Mishra MK, Singh SK, Kumar A (2016) Experimental evaluation of waste plastic oil and its blends on a single cylinder diesel engine. J Mech Sci Technol 30(10):4781–4789

    Article  Google Scholar 

  • Mani M, Subash C, Nagarajan G (2009) Performance, emission and combustion characteristics of a DI diesel engine using waste plastic oil. Appl Therm Eng 29(13):2738–2744

    Article  CAS  Google Scholar 

  • Mani M, Nagarajan G, Sampath S (2011) Characterisation and effect of using waste plastic oil and diesel fuel blends in compression ignition engine. Energy 36(1):212–219

    Article  CAS  Google Scholar 

  • Meisami F, Ajam H, Tabasizadeh M (2018) Thermo-economic analysis of diesel engine fueled with blended levels of waste cooking oil biodiesel in diesel fuel. Biofuels 9(4):503–512

    Article  CAS  Google Scholar 

  • Pai PS, Rao BS (2011) Artificial neural network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings. Appl Energy 88(7):2344–2354

    Article  Google Scholar 

  • Panda AK, Murugan S, Singh RK (2016) Performance and emission characteristics of diesel fuel produced from waste plastic oil obtained by catalytic pyrolysis of waste polypropylene. Energy Sour, Part a: Recov, Util, Environ Eff 38(4):568–576

    Article  CAS  Google Scholar 

  • Prabhu AV, Alagumalai A, Jodat A (2021) Artificial neural networks to predict the performance and emission parameters of a compression ignition engine fuelled with diesel and preheated biogas–air mixture. J Therm Anal Calorim 145(4):1935–1948

    Article  CAS  Google Scholar 

  • Senthilkumar P, Sankaranarayanan G (2016) Effect of Jatropha methyl ester on waste plastic oil fueled DI diesel engine. J Energy Inst 89(4):504–512

    Article  CAS  Google Scholar 

  • Sharma A, Sahoo PK, Tripathi RK, Meher LC (2016) Artificial neural network-based prediction of performance and emission characteristics of CI engine using polanga as a biodiesel. Int J Ambient Energy 37(6):559–570

    Article  CAS  Google Scholar 

  • Patnaik S, Barick A, Panda A (2021) Thermo-catalytic degradation of different consumer plastic wastes by zeolite a catalyst: A kinetic approach. Progress in Rubber, Plastics and Recycling Technology 37(2):148–164

    Article  Google Scholar 

  • Uslu S, Celik MB (2018) Prediction of engine emissions and performance with artificial neural networks in a single cylinder diesel engine using diethyl ether. Eng Sci Technol, An Int J 21(6):1194–1201

    Article  Google Scholar 

  • Yusaf TF, Buttsworth DR, Saleh KH, Yousif BF (2010) CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network. Appl Energy 87(5):1661–1669

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Chemistry, Veer Surendra Sai University of Technology, Odisha, Burla, India

    Achyut Kumar Panda & Amar Kumar Das

  2. Department of IT, Vardhaman College of Engineering, Hyderabad, Telangana, India

    Saroja Kumar Rout

  3. Department of Mechanical Engineering, Gandhi Institute For Technology (GIFT), Autonomous, Bhubaneswar, Odisha, 752054, India

    Amar Kumar Das

Authors
  1. Achyut Kumar Panda
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  2. Saroja Kumar Rout
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  3. Amar Kumar Das
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by [Amar Kumar Das], [Achyut Kumar Panda], and [Saroj Kumar Rout]. The first draft of the manuscript was written by [Amar Kumar Das], and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Amar Kumar Das.

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Highlights

The important highlights of the work are the following:

1. Study of performance and emission diesel engine fuelled with WPO blended diesel.

2. Development of an artificial intelligence-based ANN model at specific engine conditions.

3. Analysis of productivity of ANN model developer for this experiment and test the economic feasibility.

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Panda, A.K., Rout, S.K. & Das, A.K. Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo-economic assessment. Environ Sci Pollut Res (2023). https://doi.org/10.1007/s11356-023-26891-9

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  • DOI: https://doi.org/10.1007/s11356-023-26891-9

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