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An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis

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  • Bahman Najafi

    (Biosystem Engineering Department, University of Mohaghegh Ardabili, 56199-11367 Ardabil, Iran)

  • Sina Faizollahzadeh Ardabili

    (Biosystem Engineering Department, University of Mohaghegh Ardabili, 56199-11367 Ardabil, Iran)

  • Amir Mosavi

    (Institute of Structural Mechanics, Bauhaus University Weimar, 99423 Weimar, Germany
    Institute of Automation, Obuda University, 1431 Budapest, Hungary)

  • Shahaboddin Shamshirband

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Timon Rabczuk

    (Institute of Structural Mechanics, Bauhaus University Weimar, 99423 Weimar, Germany)

Abstract

Biodiesel, as the main alternative fuel to diesel fuel which is produced from renewable and available resources, improves the engine emissions during combustion in diesel engines. In this study, the biodiesel is produced initially from waste cooking oil (WCO). The fuel samples are applied in a diesel engine and the engine performance has been considered from the viewpoint of exergy and energy approaches. Engine tests are performed at a constant 1500 rpm speed with various loads and fuel samples. The obtained experimental data are also applied to develop an artificial neural network (ANN) model. Response surface methodology (RSM) is employed to optimize the exergy and energy efficiencies. Based on the results of the energy analysis, optimal engine performance is obtained at 80% of full load in presence of B10 and B20 fuels. However, based on the exergy analysis results, optimal engine performance is obtained at 80% of full load in presence of B90 and B100 fuels. The optimum values of exergy and energy efficiencies are in the range of 25–30% of full load, which is the same as the calculated range obtained from mathematical modeling.

Suggested Citation

  • Bahman Najafi & Sina Faizollahzadeh Ardabili & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and," Energies, MDPI, vol. 11(4), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:860-:d:139912
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    1. Ali, Obed M. & Mamat, Rizalman & Abdullah, Nik R. & Abdullah, Abdul Adam, 2016. "Analysis of blended fuel properties and engine performance with palm biodiesel–diesel blended fuel," Renewable Energy, Elsevier, vol. 86(C), pages 59-67.
    2. Lei, Tingzhou & Wang, Zhiwei & Chang, Xia & Lin, Lu & Yan, Xiaoyu & Sun, Yincong & Shi, Xinguang & He, Xiaofeng & Zhu, Jinling, 2016. "Performance and emission characteristics of a diesel engine running on optimized ethyl levulinate–biodiesel–diesel blends," Energy, Elsevier, vol. 95(C), pages 29-40.
    3. Zhang, Zhi-Hui & Balasubramanian, Rajasekhar, 2016. "Investigation of particulate emission characteristics of a diesel engine fueled with higher alcohols/biodiesel blends," Applied Energy, Elsevier, vol. 163(C), pages 71-80.
    4. Hoseinpour, Marziyeh & Sadrnia, Hassan & Tabasizadeh, Mohammad & Ghobadian, Barat, 2017. "Energy and exergy analyses of a diesel engine fueled with diesel, biodiesel-diesel blend and gasoline fumigation," Energy, Elsevier, vol. 141(C), pages 2408-2420.
    5. Nemati, Peyman & Jafarmadar, Samad & Taghavifar, Hadi, 2016. "Exergy analysis of biodiesel combustion in a direct injection compression ignition (CI) engine using quasi-dimensional multi-zone model," Energy, Elsevier, vol. 115(P1), pages 528-538.
    6. Jafarmadar, Samad & Nemati, Peyman, 2017. "Analysis of Exhaust Gas Recirculation (EGR) effects on exergy terms in an engine operating with diesel oil and hydrogen," Energy, Elsevier, vol. 126(C), pages 746-755.
    7. Aghbashlo, Mortaza & Shamshirband, Shahaboddin & Tabatabaei, Meisam & Yee, Por Lip & Larimi, Yaser Nabavi, 2016. "The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste," Energy, Elsevier, vol. 94(C), pages 443-456.
    8. Haiwen Song & Kelly Sison Quinton & Zhijun Peng & Hua Zhao & Nicos Ladommatos, 2016. "Effects of Oxygen Content of Fuels on Combustion and Emissions of Diesel Engines," Energies, MDPI, vol. 9(1), pages 1-12, January.
    9. Mostafaei, Mostafa & Javadikia, Hossein & Naderloo, Leila, 2016. "Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy," Energy, Elsevier, vol. 115(P1), pages 626-636.
    10. Khalife, Esmail & Kazerooni, Hanif & Mirsalim, Mostafa & Roodbar Shojaei, Taha & Mohammadi, Pouya & Salleh, Amran Mohd & Najafi, Bahman & Tabatabaei, Meisam, 2017. "Experimental investigation of low-level water in waste-oil produced biodiesel-diesel fuel blend," Energy, Elsevier, vol. 121(C), pages 331-340.
    11. Coban, Kahraman & Şöhret, Yasin & Colpan, C. Ozgur & Karakoç, T. Hikmet, 2017. "Exergetic and exergoeconomic assessment of a small-scale turbojet fuelled with biodiesel," Energy, Elsevier, vol. 140(P2), pages 1358-1367.
    12. Szargut, Jan, 1980. "International progress in second law analysis," Energy, Elsevier, vol. 5(8), pages 709-718.
    13. Jafarmadar, Samad & Nemati, Peyman, 2016. "Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model," Renewable Energy, Elsevier, vol. 99(C), pages 514-523.
    14. Azoumah, Y. & Blin, J. & Daho, T., 2009. "Exergy efficiency applied for the performance optimization of a direct injection compression ignition (CI) engine using biofuels," Renewable Energy, Elsevier, vol. 34(6), pages 1494-1500.
    15. Aghbashlo, Mortaza & Tabatabaei, Meisam & Mohammadi, Pouya & Mirzajanzadeh, Mehrdad & Ardjmand, Mehdi & Rashidi, Alimorad, 2016. "Effect of an emission-reducing soluble hybrid nanocatalyst in diesel/biodiesel blends on exergetic performance of a DI diesel engine," Renewable Energy, Elsevier, vol. 93(C), pages 353-368.
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    Cited by:

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    3. Nosratabadi, Saeed & Mosavi, Amir & Shamshirband, Shahaboddin & Zavadskas, Edmundas Kazimieras & Rakotonirainy, Andry & Chau, Kwok Wing, 2020. "Sustainable Business Models: A Review," OSF Preprints u4xw3, Center for Open Science.
    4. Iftikhar Ahmad & Adil Sana & Manabu Kano & Izzat Iqbal Cheema & Brenno C. Menezes & Junaid Shahzad & Zahid Ullah & Muzammil Khan & Asad Habib, 2021. "Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions," Energies, MDPI, vol. 14(16), pages 1-27, August.
    5. Yi Dong & Jianmin Liu & Yanbin Liu & Xinyong Qiao & Xiaoming Zhang & Ying Jin & Shaoliang Zhang & Tianqi Wang & Qi Kang, 2020. "A RBFNN & GACMOO-Based Working State Optimization Control Study on Heavy-Duty Diesel Engine Working in Plateau Environment," Energies, MDPI, vol. 13(1), pages 1-24, January.
    6. Taghavifar, Hadi & Nemati, Arash & Salvador, F.J. & De la Morena, J., 2019. "Improved mixture quality by advanced dual-nozzle, included-angle split injection in HSDI engine: Exergetic exploration," Energy, Elsevier, vol. 167(C), pages 211-223.
    7. Nosratabadi, Saeed & Mosavi, Amir & Shamshirband, Shahaboddin & Zavadskas, Edmundas Kazimieras & Rakotonirainy, Andry & Chau, Kwok Wing, 2020. "Sustainable Business Models: A Review," OSF Preprints ts54m, Center for Open Science.
    8. Shahriyar Abedinnezhad & Mohammad Hossein Ahmadi & Seyed Mohsen Pourkiaei & Fathollah Pourfayaz & Amir Mosavi & Michel Feidt & Shahaboddin Shamshirband, 2019. "Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle," Energies, MDPI, vol. 12(20), pages 1-25, October.
    9. Najafi, Bahman & Akbarian, Eivaz & Lashkarpour, S. Mehdi & Aghbashlo, Mortaza & Ghaziaskar, Hassan S. & Tabatabaei, Meisam, 2019. "Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emiss," Energy, Elsevier, vol. 168(C), pages 1128-1137.
    10. Sina Faizollahzadeh Ardabili & Bahman Najafi & Meysam Alizamir & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters," Energies, MDPI, vol. 11(11), pages 1-19, October.
    11. Amir Mosavi & Mohsen Salimi & Sina Faizollahzadeh Ardabili & Timon Rabczuk & Shahaboddin Shamshirband & Annamaria R. Varkonyi-Koczy, 2019. "State of the Art of Machine Learning Models in Energy Systems, a Systematic Review," Energies, MDPI, vol. 12(7), pages 1-42, April.
    12. Roberto Finesso & Gilles Hardy & Alessandro Mancarella & Omar Marello & Antonio Mittica & Ezio Spessa, 2019. "Real-Time Simulation of Torque and Nitrogen Oxide Emissions in an 11.0 L Heavy-Duty Diesel Engine for Model-Based Combustion Control," Energies, MDPI, vol. 12(3), pages 1-32, January.

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