IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i10p2255-d1390151.html
   My bibliography  Save this article

Effects Analysis of FAME on the Engine Characteristics of Different Polymerized Biofuels in Compression Ignition Engine

Author

Listed:
  • Hongting Zhao

    (Guangxi Earthmoving Machinery Collaborative Innovation Center, Guangxi University of Science and Technology, Liuzhou 545006, China
    School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Zhiqing Zhang

    (Guangxi Earthmoving Machinery Collaborative Innovation Center, Guangxi University of Science and Technology, Liuzhou 545006, China
    School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Kai Lu

    (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Yanshuai Ye

    (Guangxi Earthmoving Machinery Collaborative Innovation Center, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Sheng Gao

    (Guangxi Earthmoving Machinery Collaborative Innovation Center, Guangxi University of Science and Technology, Liuzhou 545006, China)

Abstract

Environmental pollution caused by marine engines fueled with fossil fuels is a matter of growing significance. The search for renewable and clean energy sources and improvements in the way fossil fuels are burnt aims to reduce the environmental impact of these engines. For this purpose, fatty acid methyl esters were produced from pure canola oil using KOH-assisted methanol-based transesterification with a maximum yield of 90.68 ± 1.6%. The marine engine’s model was created with CONVERGE software, followed by experimental verification. This paper examines the blended fuel characteristics of a diesel engine with biodiesel blends (0%, 5%, 10%, and 15%) at different loads of engines (50%, 75%, and 100%). It also explores the variation in these characteristics of B10 (10% biodiesel–diesel blends) at three different load conditions and four different EGR rates (0%, 5%, 10%, and 15%). The results indicate that the addition of biodiesel to diesel fuel reduces CO, HC, and soot emissions, while increasing NO x emissions. Additionally, the EGR rate decreases NO x emissions but results in higher levels of soot, CO, and HC emissions. Finally, response surface methodology was used to elicit the engine’s characteristics. It was determined that the optimum experimental operating conditions were 100% engine load, 6.9% biodiesel addition, and 7.7% EGR. The corresponding BTE, BSFC, NO x , and HC emissions were 38.15%, 282.62 g/(kW-h), 274.38 ppm, and 410.37 ppm, respectively.

Suggested Citation

  • Hongting Zhao & Zhiqing Zhang & Kai Lu & Yanshuai Ye & Sheng Gao, 2024. "Effects Analysis of FAME on the Engine Characteristics of Different Polymerized Biofuels in Compression Ignition Engine," Energies, MDPI, vol. 17(10), pages 1-30, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2255-:d:1390151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/10/2255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/10/2255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pham, Quangkhai & Park, Sungwook & Agarwal, Avinash Kumar & Park, Suhan, 2022. "Review of dual-fuel combustion in the compression-ignition engine: Spray, combustion, and emission," Energy, Elsevier, vol. 250(C).
    2. Sam Ki Yoon & Min Soo Kim & Han Joo Kim & Nag Jung Choi, 2014. "Effects of Canola Oil Biodiesel Fuel Blends on Combustion, Performance, and Emissions Reduction in a Common Rail Diesel Engine," Energies, MDPI, vol. 7(12), pages 1-18, December.
    3. Park, Youngsoo & Bae, Choongsik, 2014. "Experimental study on the effects of high/low pressure EGR proportion in a passenger car diesel engine," Applied Energy, Elsevier, vol. 133(C), pages 308-316.
    4. 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).
    5. Chintala, Venkateswarlu & Subramanian, K.A., 2016. "CFD analysis on effect of localized in-cylinder temperature on nitric oxide (NO) emission in a compression ignition engine under hydrogen-diesel dual-fuel mode," Energy, Elsevier, vol. 116(P1), pages 470-488.
    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. Daho, Tizane & Vaitilingom, Gilles & Ouiminga, Salifou K. & Piriou, Bruno & Zongo, Augustin S. & Ouoba, Samuel & Koulidiati, Jean, 2013. "Influence of engine load and fuel droplet size on performance of a CI engine fueled with cottonseed oil and its blends with diesel fuel," Applied Energy, Elsevier, vol. 111(C), pages 1046-1053.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Tao & Zhao, Dan & Chan, Siew Hwa & Shahsavari, Mohammad, 2022. "Tailoring reduced mechanisms for predicting flame propagation and ignition characteristics in ammonia and ammonia/hydrogen mixtures," Energy, Elsevier, vol. 260(C).
    2. Zhang, Zhiqing & Zhong, Weihuang & Mao, Chengfang & Xu, Yuejiang & Lu, Kai & Ye, Yanshuai & Guan, Wei & Pan, Mingzhang & Tan, Dongli, 2024. "Multi-objective optimization of Fe-based SCR catalyst on the NOx conversion efficiency for a diesel engine based on FGRA-ANN/RF," Energy, Elsevier, vol. 294(C).
    3. Guan, Wei & Gu, Jinkai & Pan, Xiubin & Pan, Mingzhang & Wang, Xinyan & Zhao, Hua & Tan, Dongli & Fu, Changcheng & Pedrozo, Vinícius B. & Zhang, Zhiqing, 2024. "Improvement of the light-load combustion control strategy for a heavy-duty diesel engine fueled with diesel/methonal by RSM-NSGA III," Energy, Elsevier, vol. 297(C).
    4. Zhang, Zhiqing & Hu, Jingyi & Yang, Dayong & Yin, Zibin & Lu, Kai & Tan, Dongli, 2024. "A comprehensive assessment over the environmental impact and combustion efficiency of using ammonia/ hydrogen/diesel blends in a diesel engine," Energy, Elsevier, vol. 303(C).
    5. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    6. 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).
    7. Fan, Lulu & Shi, Weishuo & Jing, Jun & Dong, Zhenhua & Yuan, Jinwei & Qu, Lingbo, 2025. "An artificial intelligence strategy for multi-objective optimization of Urea-SCR for vehicle diesel engine by RSM-VIKOR," Energy, Elsevier, vol. 317(C).
    8. Zhang, Zhiqing & Zhao, Ziheng & Tan, Dongli & Zhang, Bin & Yin, Zibin & Cui, Shuwan & Li, Junming, 2024. "Multi-objective optimization of chemical reaction characteristics of selective catalytic reduction in denitrification of diesel engine using ELM-MOPSO methodology," Energy, Elsevier, vol. 311(C).
    9. Deng, Xiaorong & Li, Jing & Liang, Yifei & Yang, Wenming, 2023. "Dual-fuel engines fueled with n-butanol/n-octanol and n-butanol/DNBE: A comparative study of combustion and emissions characteristics," Energy, Elsevier, vol. 263(PC).
    10. Dongli Tan & Yao Wu & Zhiqing Zhang & Yue Jiao & Lingchao Zeng & Yujun Meng, 2023. "Assessing the Life Cycle Sustainability of Solar Energy Production Systems: A Toolkit Review in the Context of Ensuring Environmental Performance Improvements," Sustainability, MDPI, vol. 15(15), pages 1-37, July.
    11. Zhang, Zhiqing & Hu, Jingyi & Wang, Yuguo & Pan, Mingzhang & Lu, Kai & Ye, Yanshuai & Yin, Zibin, 2025. "An artificial intelligence-based strategy for multi-objective optimization of diesel engine fueled with ammonia-diesel-hydrogen blended fuel," Energy, Elsevier, vol. 318(C).
    12. Rimkus, Alfredas & Stravinskas, Saulius & Matijošius, Jonas & Hunicz, Jacek, 2024. "Effects of different gas energy shares on combustion and emission characteristics of compression ignition engine fueled with dual-fossil fuel and dual-biofuel," Energy, Elsevier, vol. 312(C).
    13. Bora, Plaban & Konwar, Lakhya Jyoti & Boro, Jutika & Phukan, Mayur Mausoom & Deka, Dhanapati & Konwar, Bolin Kumar, 2014. "Hybrid biofuels from non-edible oils: A comparative standpoint with corresponding biodiesel," Applied Energy, Elsevier, vol. 135(C), pages 450-460.
    14. Chintala, V. & Subramanian, K.A., 2017. "Experimental investigation of autoignition of hydrogen-air charge in a compression ignition engine under dual-fuel mode," Energy, Elsevier, vol. 138(C), pages 197-209.
    15. Jia, Hekun & Jian, Yi & Yin, Bifeng & Yang, Junfeng & Liu, Zhiyuan, 2023. "Experimental study on the combustion, emissions and fuel consumption of elliptical nozzle diesel engine," Energy, Elsevier, vol. 262(PB).
    16. Konrad Krakowian, 2024. "Impact of Multi-Valve Exhaust Gas Recirculation (EGR) System on Nitrogen Oxides Emissions in a Multi-Cylinder Engine," Energies, MDPI, vol. 17(24), pages 1-11, December.
    17. Maria Cristina Cameretti & Roberta De Robbio & Ezio Mancaruso & Marco Palomba, 2022. "CFD Study of Dual Fuel Combustion in a Research Diesel Engine Fueled by Hydrogen," Energies, MDPI, vol. 15(15), pages 1-21, July.
    18. Wei, Wenwen & Li, Gesheng & Zhang, Zunhua & Long, Yanxiang & Zhang, Hanyuyang & Huang, Yong & Zhou, Mengni & Wei, Yi, 2023. "Effects of ammonia addition on the performance and emissions for a spark-ignition marine natural gas engine," Energy, Elsevier, vol. 272(C).
    19. Yuan, Xingzhong & Ding, Xiaowei & Leng, Lijian & Li, Hui & Shao, Jianguang & Qian, Yingying & Huang, Huajun & Chen, Xiaohong & Zeng, Guangming, 2018. "Applications of bio-oil-based emulsions in a DI diesel engine: The effects of bio-oil compositions on engine performance and emissions," Energy, Elsevier, vol. 154(C), pages 110-118.
    20. Singh, Thokchom Subhaschandra & Verma, Tikendra Nath, 2019. "Biodiesel production from Momordica Charantia (L.): Extraction and engine characteristics," Energy, Elsevier, vol. 189(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2255-:d:1390151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.