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Simultaneous prediction of CO2, CO, and NOx emissions of biodiesel-hydrogen blend combustion in compression ignition engines by supervised machine learning tools

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  • Zhang, Liwu
  • Zhu, Guanghui
  • Chao, Yanpu
  • Chen, Liangbin
  • Ghanbari, Afshin

Abstract

This study mathematically inspects the effects of engine speed/load and biodiesel–hydrogen fuel blend composition on CO2, CO, and NOx emissions. Since this modeling task requires a basic knowledge of mechanics, chemistry, and combustion, the literature suggests no approach to anticipate these emissions. This multi-input and multi-output (MIMO) problem is so complex that can only be simulated by special types of machine-learning tools. Consequently, this study utilizes the multi-output least-squares support vector regression (MLS-SVR) and two efficient artificial neural networks (cascade feedforward and multilayer perceptron) to handle this complicated MIMO regression. These intelligent models are constructed and tested using 307 × 3 experimental emissions related to the combustion of different biodiesel–hydrogen blends at various engine speeds and loads. Extensive numerical analyses and ranking tests are conducted to confirm that MLS-SVR is the best approach to simultaneously predict the actual CO2, CO, and NOx emissions with the mean absolute relative error of 2.75%, 7.00%, and 2.62%, and regression coefficient of 0.9966, 0.9947, and 0.9979, respectively. The applicability domain inspection approves that only seven emission measurements may be problematic samples and all other 300 samples are reliable.

Suggested Citation

  • Zhang, Liwu & Zhu, Guanghui & Chao, Yanpu & Chen, Liangbin & Ghanbari, Afshin, 2023. "Simultaneous prediction of CO2, CO, and NOx emissions of biodiesel-hydrogen blend combustion in compression ignition engines by supervised machine learning tools," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223023666
    DOI: 10.1016/j.energy.2023.128972
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    1. Yilmaz, I.T. & Gumus, M., 2018. "Effects of hydrogen addition to the intake air on performance and emissions of common rail diesel engine," Energy, Elsevier, vol. 142(C), pages 1104-1113.
    2. Balat, Mustafa & Balat, Havva, 2010. "Progress in biodiesel processing," Applied Energy, Elsevier, vol. 87(6), pages 1815-1835, June.
    3. Luo, Jianbin & Liu, Zhonghang & Wang, Jie & Xu, Hongxiang & Tie, Yuanhao & Yang, Dayong & Zhang, Zhiqing & Zhang, Chengtao & Wang, Haijiao, 2022. "Investigation of hydrogen addition on the combustion, performance, and emission characteristics of a heavy-duty engine fueled with diesel/natural gas," Energy, Elsevier, vol. 260(C).
    4. Yilmaz, Nadir, 2012. "Comparative analysis of biodiesel–ethanol–diesel and biodiesel–methanol–diesel blends in a diesel engine," Energy, Elsevier, vol. 40(1), pages 210-213.
    5. Zhang, Zhiqing & Lv, Junshuai & Xie, Guanglin & Wang, Su & Ye, Yanshuai & Huang, Gaohua & Tan, Donlgi, 2022. "Effect of assisted hydrogen on combustion and emission characteristics of a diesel engine fueled with biodiesel," Energy, Elsevier, vol. 254(PA).
    6. Zhang, Zhiqing & Lv, Junshuai & Li, Weiqing & Long, Junming & Wang, Su & Tan, Dongli & Yin, Zibin, 2022. "Performance and emission evaluation of a marine diesel engine fueled with natural gas ignited by biodiesel-diesel blended fuel," Energy, Elsevier, vol. 256(C).
    7. Haşimoğlu, Can & Ciniviz, Murat & Özsert, İbrahim & İçingür, Yakup & Parlak, Adnan & Sahir Salman, M., 2008. "Performance characteristics of a low heat rejection diesel engine operating with biodiesel," Renewable Energy, Elsevier, vol. 33(7), pages 1709-1715.
    8. Agarwal, Avinash Kumar & Rajamanoharan, K., 2009. "Experimental investigations of performance and emissions of Karanja oil and its blends in a single cylinder agricultural diesel engine," Applied Energy, Elsevier, vol. 86(1), pages 106-112, January.
    9. Hai, Tao & Hussein Kadir, Dler & Ghanbari, Afshin, 2023. "Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses," Energy, Elsevier, vol. 276(C).
    10. Elkelawy, Medhat & Etaiw, Safaa El-din H. & Alm-Eldin Bastawissi, Hagar & Ayad, Mohamed I. & Radwan, Ahmed Mohamed & Dawood, Mohamed M., 2021. "Diesel/ biodiesel /silver thiocyanate nanoparticles/hydrogen peroxide blends as new fuel for enhancement of performance, combustion, and Emission characteristics of a diesel engine," Energy, Elsevier, vol. 216(C).
    11. Akcay, Mehmet & Yilmaz, Ilker Turgut & Feyzioglu, Ahmet, 2020. "Effect of hydrogen addition on performance and emission characteristics of a common-rail CI engine fueled with diesel/waste cooking oil biodiesel blends," Energy, Elsevier, vol. 212(C).
    12. Tan, Pi-qiang & Hu, Zhi-yuan & Lou, Di-ming & Li, Zhi-jun, 2012. "Exhaust emissions from a light-duty diesel engine with Jatropha biodiesel fuel," Energy, Elsevier, vol. 39(1), pages 356-362.
    13. Ali Heydari & Zahra Sayyah Alborzi & Younes Amini & Amin Hassanvand, 2023. "Configuration optimization of a renewable hybrid system including biogas generator, photovoltaic panel and wind turbine: Particle swarm optimization and genetic algorithms," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(05), pages 1-22, May.
    14. N, Santhosh & Afzal, Asif & V, Srikanth H. & Ağbulut, Ümit & Alahmadi, Ahmad Aziz & Gowda, Ashwin C. & Alwetaishi, Mamdooh & Shaik, Saboor & Hoang, Anh Tuan, 2023. "Poultry fat biodiesel as a fuel substitute in diesel-ethanol blends for DI-CI engine: Experimental, modeling and optimization," Energy, Elsevier, vol. 270(C).
    15. Benbellil, Messaoud Abdelalli & Lounici, Mohand Said & Loubar, Khaled & Tazerout, Mohand, 2022. "Investigation of natural gas enrichment with high hydrogen participation in dual fuel diesel engine," Energy, Elsevier, vol. 243(C).
    16. Behdad Shadidi & Gholamhassan Najafi & Talal Yusaf, 2021. "A Review of Hydrogen as a Fuel in Internal Combustion Engines," Energies, MDPI, vol. 14(19), pages 1-20, September.
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