IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7777-d1287969.html
   My bibliography  Save this article

Selection of a Particulate Filter for a Gasoline-Powered Vehicle Engine in Static and Dynamic Conditions

Author

Listed:
  • Jacek Pielecha

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, pl. M. Sklodowskiej-Curie 5, 60-965 Poznan, Poland)

  • Jerzy Merkisz

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, pl. M. Sklodowskiej-Curie 5, 60-965 Poznan, Poland)

Abstract

Current challenges in terms of exhaust emission limits are related to the reduction of the particle numbers in spark ignition direct injection engines. The article concerns the analysis of the thermodynamic parameters of engine operation, allowing the selection of the particulate filter configuration and its technical parameters. The designed system consisting of an internal combustion engine and an exhaust system with an exhaust gas treatment system should be sufficient to meet ecological requirements in the form of reducing particulate matter emissions. The analysis of particulate matter emissions for the system without a filter and with a filter installed in the engine exhaust system was carried out for the mass, number and dimensional distribution of particulate matter. The result was an assessment of filtration efficiency for the entire spectrum of particulate diameters in the identified engine operating ranges. As a result, it was found that the particulate filter used in the engine exhaust system effectively reduces the particle number due to the greater filtration efficiency of large particles. The summary of the work related to the analysis of the ecological parameters of a spark ignition engine with direct fuel injection was a simulation of road tests of a vehicle with the proposed modified vehicle exhaust system equipped with a particulate filter. For this configuration, the analysis of particulate number emissions in the parameterized engine operating areas showed that it is possible to meet the particulate number emission limits, and the obtained road emission results are fully acceptable in terms of the obtained absolute values.

Suggested Citation

  • Jacek Pielecha & Jerzy Merkisz, 2023. "Selection of a Particulate Filter for a Gasoline-Powered Vehicle Engine in Static and Dynamic Conditions," Energies, MDPI, vol. 16(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7777-:d:1287969
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7777/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/23/7777/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qian, Yong & Li, Zilong & Yu, Liang & Wang, Xiaole & Lu, Xingcai, 2019. "Review of the state-of-the-art of particulate matter emissions from modern gasoline fueled engines," Applied Energy, Elsevier, vol. 238(C), pages 1269-1298.
    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. Al-Qahtani, Amjad & González-Garay, Andrés & Bernardi, Andrea & Galán-Martín, Ángel & Pozo, Carlos & Dowell, Niall Mac & Chachuat, Benoit & Guillén-Gosálbez, Gonzalo, 2020. "Electricity grid decarbonisation or green methanol fuel? A life-cycle modelling and analysis of today′s transportation-power nexus," Applied Energy, Elsevier, vol. 265(C).
    2. Wen, Yifan & Zhang, Shaojun & Zhang, Jingran & Bao, Shuanghui & Wu, Xiaomeng & Yang, Daoyuan & Wu, Ye, 2020. "Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data," Applied Energy, Elsevier, vol. 260(C).
    3. Wang, Yujun & Kamp, Carl J. & Wang, Yuesen & Toops, Todd J. & Su, Changsheng & Wang, Ruoqian & Gong, Jian & Wong, Victor W., 2020. "The origin, transport, and evolution of ash in engine particulate filters," Applied Energy, Elsevier, vol. 263(C).
    4. Gong, Changming & Yi, Lin & Zhang, Zilei & Sun, Jingzhen & Liu, Fenghua, 2020. "Assessment of ultra-lean burn characteristics for a stratified-charge direct-injection spark-ignition methanol engine under different high compression ratios," Applied Energy, Elsevier, vol. 261(C).
    5. Dong Lin Loo & Yew Heng Teoh & Heoy Geok How & Jun Sheng Teh & Liviu Catalin Andrei & Slađana Starčević & Farooq Sher, 2021. "Applications Characteristics of Different Biodiesel Blends in Modern Vehicles Engines: A Review," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    6. Ghadikolaei, Meisam Ahmadi & Wong, Pak Kin & Cheung, Chun Shun & Ning, Zhi & Yung, Ka-Fu & Zhao, Jing & Gali, Nirmal Kumar & Berenjestanaki, Alireza Valipour, 2021. "Impact of lower and higher alcohols on the physicochemical properties of particulate matter from diesel engines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    7. Huang, Yuhan & Surawski, Nic C. & Zhuang, Yuan & Zhou, John L. & Hong, Guang, 2021. "Dual injection: An effective and efficient technology to use renewable fuels in spark ignition engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    8. Zuo, Qingsong & Xie, Yong & Zhu, Guohui & Wei, Kexiang & Zhang, Bin & Chen, Wei & Tang, Yuanyou & Wang, Zhiqi, 2021. "Investigations on a new C-GPFs with electric heating for enhancing the integrated regeneration performance under critical parameters," Energy, Elsevier, vol. 225(C).
    9. Cinzia Tornatore & Luca Marchitto & Maria Antonietta Costagliola & Gerardo Valentino, 2019. "Experimental Comparative Study on Performance and Emissions of E85 Adopting Different Injection Approaches in a Turbocharged PFI SI Engine," Energies, MDPI, vol. 12(8), pages 1-15, April.
    10. Catapano, Francesco & Di Iorio, Silvana & Magno, Agnese & Vaglieco, Bianca Maria, 2022. "Effect of fuel quality on combustion evolution and particle emissions from PFI and GDI engines fueled with gasoline, ethanol and blend, with focus on 10–23 nm particles," Energy, Elsevier, vol. 239(PB).
    11. Wen, Yifan & Wu, Ruoxi & Zhou, Zihang & Zhang, Shaojun & Yang, Shengge & Wallington, Timothy J. & Shen, Wei & Tan, Qinwen & Deng, Ye & Wu, Ye, 2022. "A data-driven method of traffic emissions mapping with land use random forest models," Applied Energy, Elsevier, vol. 305(C).
    12. Kumar, T. Sathish & Ashok, B., 2021. "Critical review on combustion phenomena of low carbon alcohols in SI engine with its challenges and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    13. Zhong, Wenjun & Pachiannan, Tamilselvan & Li, Zilong & Qian, Yong & Zhang, Yanzhi & Wang, Qian & He, Zhixia & Lu, Xingcai, 2019. "Combustion and emission characteristics of gasoline/hydrogenated catalytic biodiesel blends in gasoline compression ignition engines under different loads of double injection strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. Zuo, Qingsong & Xie, Yong & E, Jiaqiang & Zhu, Xinning & Zhang, Bin & Tang, Yuanyou & Zhu, Guohui & Wang, Zhiqi & Zhang, Jianping, 2020. "Effect of different exhaust parameters on NO conversion efficiency enhancement of a dual-carrier catalytic converter in the gasoline engine," Energy, Elsevier, vol. 191(C).
    15. Piotr Piatkowski & Iwona Michalska-Pozoga & Marcin Szczepanek, 2022. "Fuel Cells in Road Vehicles," Energies, MDPI, vol. 15(22), pages 1-13, November.
    16. Zhu, Xinning & Zuo, Qingsong & Tang, Yuanyou & Xie, Yong & Shen, Zhuang & Yang, Xiaomei, 2022. "Performance enhancement of equilibrium regeneration in a gasoline particulate filter based on field synergy theory," Energy, Elsevier, vol. 244(PA).
    17. Zuo, Qingsong & Li, Qiming & Yang, Xiaomei & Chen, Wei & Zhu, Guohui & Shen, Zhuang & Xie, Yong & Tang, Yuanyou, 2023. "Investigation of electrically heating catalytic converter flow and temperature field performance improvement based on field synergy," Energy, Elsevier, vol. 274(C).
    18. Liu, Shang & Lin, Zhelong & Zhang, Hao & Fan, Qinhao & Lei, Nuo & Wang, Zhi, 2023. "Experimental study on combustion and emission characteristics of ethanol-gasoline blends in a high compression ratio SI engine," Energy, Elsevier, vol. 274(C).
    19. Serrano, J.R. & Arnau, F.J. & Bares, P. & Gomez-Vilanova, A. & Garrido-Requena, J. & Luna-Blanca, M.J. & Contreras-Anguita, F.J., 2021. "Analysis of a novel concept of 2-stroke rod-less opposed pistons engine (2S-ROPE): Testing, modelling, and forward potential," Applied Energy, Elsevier, vol. 282(PA).
    20. Zhang, Wenbin & Zhang, Zhou & Ma, Xiao & Awad, Omar I. & Li, Yanfei & Shuai, Shijin & Xu, Hongming, 2020. "Impact of injector tip deposits on gasoline direct injection engine combustion, fuel economy and emissions," Applied Energy, Elsevier, vol. 262(C).

    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:16:y:2023:i:23:p:7777-:d:1287969. 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.