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Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review

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  • Wenbo Ai

    (Department of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of Korea)

  • Haeng Muk Cho

    (Department of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of Korea)

Abstract

With the increasing global demand for renewable energy, biodiesel has become a promising alternative to fossil fuels with significant environmental benefits. This article systematically reviews the latest advances in predictive modeling techniques for estimating the characteristics of biodiesel and its impact on diesel engine performance. Various methods for predicting the key performance of biodiesel and the performance and emissions of diesel engines have been summarized. According to the categories of parameters, research cases in recent years have been listed and discussed separately. This review provides a comprehensive overview and serves as a reference for future research and development of biodiesel.

Suggested Citation

  • Wenbo Ai & Haeng Muk Cho, 2024. "Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review," Energies, MDPI, vol. 17(19), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4805-:d:1485763
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    References listed on IDEAS

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    1. Bemani, Amin & Xiong, Qingang & Baghban, Alireza & Habibzadeh, Sajjad & Mohammadi, Amir H. & Doranehgard, Mohammad Hossein, 2020. "Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models," Renewable Energy, Elsevier, vol. 150(C), pages 924-934.
    2. Fassinou, Wanignon Ferdinand & Sako, Aboubakar & Fofana, Alhassane & Koua, Kamenan Blaise & Toure, Siaka, 2010. "Fatty acids composition as a means to estimate the high heating value (HHV) of vegetable oils and biodiesel fuels," Energy, Elsevier, vol. 35(12), pages 4949-4954.
    3. Babu Dharmalingam & Santhoshkumar Annamalai & Sukunya Areeya & Kittipong Rattanaporn & Keerthi Katam & Pau-Loke Show & Malinee Sriariyanun, 2023. "Bayesian Regularization Neural Network-Based Machine Learning Approach on Optimization of CRDI-Split Injection with Waste Cooking Oil Biodiesel to Improve Diesel Engine Performance," Energies, MDPI, vol. 16(6), pages 1-19, March.
    4. Zhang, Qiang & Ogren, Ryan M. & Kong, Song-Charng, 2016. "A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA," Applied Energy, Elsevier, vol. 165(C), pages 676-684.
    5. Su, Yujie & Zhang, Peidong & Su, Yuqing, 2015. "An overview of biofuels policies and industrialization in the major biofuel producing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 991-1003.
    6. Gopinath, A. & Puhan, Sukumar & Nagarajan, G., 2009. "Theoretical modeling of iodine value and saponification value of biodiesel fuels from their fatty acid composition," Renewable Energy, Elsevier, vol. 34(7), pages 1806-1811.
    7. Rajkumar, Sundararajan & Das, Arnab & Thangaraja, Jeyaseelan, 2022. "Integration of artificial neural network, multi-objective genetic algorithm and phenomenological combustion modelling for effective operation of biodiesel blends in an automotive engine," Energy, Elsevier, vol. 239(PA).
    8. Zandie, Mohammad & Ng, Hoon Kiat & Muhamad Said, Mohd Farid & Cheng, Xinwei & Gan, Suyin, 2023. "Performance of a compression ignition engine fuelled with diesel-palm biodiesel-gasoline mixtures: CFD and multi parameter optimisation studies," Energy, Elsevier, vol. 274(C).
    9. Giakoumis, Evangelos G., 2012. "A statistical investigation of biodiesel effects on regulated exhaust emissions during transient cycles," Applied Energy, Elsevier, vol. 98(C), pages 273-291.
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    1. Fangyuan Zheng & Haeng Muk Cho, 2024. "Exploring the Effects of Synergistic Combustion of Alcohols and Biodiesel on Combustion Performance and Emissions of Diesel Engines: A Review," Energies, MDPI, vol. 17(24), pages 1-23, December.

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