IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v306y2022ipas0306261921012733.html
   My bibliography  Save this article

A novel modal emission modelling approach and its application with on-road emission measurements

Author

Listed:
  • Wang, An
  • Tu, Ran
  • Xu, Junshi
  • Zhai, Zhiqiang
  • Hatzopoulou, Marianne

Abstract

Modal emission models describe vehicular emissions with stratified vehicle kinetic conditions or engine parameters. They are widely adopted in regulatory applications in North America and Europe to estimate emissions and energy consumption from mobile sources. However, challenges exist in the development of modal bins, especially that previous approaches rely on manual adjustment and tuning, which increase the propensity to emission misclassification. This study proposes a new approach to generate modal bins, which overcomes the limitations of previous studies. It uses a Greedy algorithm to define optimal mode boundaries and improve model robustness. The model is calibrated with emission data from a portable emission monitoring system and validated against an independent dataset. Our modelling approach can effectively reflect carbon dioxide (CO2) emissions in steady and aggressive driving conditions with errors lower than 7% at the trip level. The introduction of engine parameters is found to improve model prediction for carbon monoxide (CO) and nitrogen oxides (NOx) by about 30% compared with the models relying on external variables.

Suggested Citation

  • Wang, An & Tu, Ran & Xu, Junshi & Zhai, Zhiqiang & Hatzopoulou, Marianne, 2022. "A novel modal emission modelling approach and its application with on-road emission measurements," Applied Energy, Elsevier, vol. 306(PA).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012733
    DOI: 10.1016/j.apenergy.2021.117967
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921012733
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.117967?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Jinghui & Rakha, Hesham A., 2016. "Fuel consumption model for conventional diesel buses," Applied Energy, Elsevier, vol. 170(C), pages 394-402.
    2. Bishop, Justin D.K. & Stettler, Marc E.J. & Molden, N. & Boies, Adam M., 2016. "Engine maps of fuel use and emissions from transient driving cycles," Applied Energy, Elsevier, vol. 183(C), pages 202-217.
    3. Mourad, M. & Mahmoud, Khaled R.M., 2018. "Performance investigation of passenger vehicle fueled by propanol/gasoline blend according to a city driving cycle," Energy, Elsevier, vol. 149(C), pages 741-749.
    4. Fiori, Chiara & Ahn, Kyoungho & Rakha, Hesham A., 2016. "Power-based electric vehicle energy consumption model: Model development and validation," Applied Energy, Elsevier, vol. 168(C), pages 257-268.
    5. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2020. "Real-world fuel efficiency and emissions from an urban diesel bus engine under transient operating conditions," Applied Energy, Elsevier, vol. 261(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).

    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. Ma, Xiaolei & Miao, Ran & Wu, Xinkai & Liu, Xianglong, 2021. "Examining influential factors on the energy consumption of electric and diesel buses: A data-driven analysis of large-scale public transit network in Beijing," Energy, Elsevier, vol. 216(C).
    2. Mera, Zamir & Varella, Roberto & Baptista, Patrícia & Duarte, Gonçalo & Rosero, Fredy, 2022. "Including engine data for energy and pollutants assessment into the vehicle specific power methodology," Applied Energy, Elsevier, vol. 311(C).
    3. Miroslaw Smieszek & Vasyl Mateichyk & Jakub Mosciszewski, 2024. "The Influence of Stops on the Selected Route of the City ITS on the Energy Efficiency of the Public Bus," Energies, MDPI, vol. 17(16), pages 1-26, August.
    4. Cui, Yuepeng & Xu, Hao & Zou, Fumin & Chen, Zhihui & Gong, Kuangmin, 2021. "Optimization based method to develop representative driving cycle for real-world fuel consumption estimation," Energy, Elsevier, vol. 235(C).
    5. Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).
    6. Evangelos G. Giakoumis & George Triantafillou, 2018. "Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck," Energies, MDPI, vol. 11(2), pages 1-21, January.
    7. Fredy Rosero & Carlos Xavier Rosero & Carlos Segovia, 2024. "Towards Simpler Approaches for Assessing Fuel Efficiency and CO 2 Emissions of Vehicle Engines in Real Traffic Conditions Using On-Board Diagnostic Data," Energies, MDPI, vol. 17(19), pages 1-18, September.
    8. Xing, Yang & Lv, Chen & Cao, Dongpu & Lu, Chao, 2020. "Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling," Applied Energy, Elsevier, vol. 261(C).
    9. Haoming Gu & Shenghua Liu & Yanju Wei & Xibin Liu & Xiaodong Zhu & Zheyang Li, 2022. "Effects of Polyoxymethylene Dimethyl Ethers Addition in Diesel on Real Driving Emission and Fuel Consumption Characteristics of a CHINA VI Heavy-Duty Vehicle," Energies, MDPI, vol. 15(7), pages 1-20, March.
    10. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2020. "Real-world fuel efficiency and emissions from an urban diesel bus engine under transient operating conditions," Applied Energy, Elsevier, vol. 261(C).
    11. Xie, Yunkun & Li, Yangyang & Zhao, Zhichao & Dong, Hao & Wang, Shuqian & Liu, Jingping & Guan, Jinhuan & Duan, Xiongbo, 2020. "Microsimulation of electric vehicle energy consumption and driving range," Applied Energy, Elsevier, vol. 267(C).
    12. Yashraj Tripathy & Andrew McGordon & Anup Barai, 2020. "Improving Accessible Capacity Tracking at Low Ambient Temperatures for Range Estimation of Battery Electric Vehicles," Energies, MDPI, vol. 13(8), pages 1-18, April.
    13. K. S. Reddy & S. Aravindhan & Tapas K. Mallick, 2017. "Techno-Economic Investigation of Solar Powered Electric Auto-Rickshaw for a Sustainable Transport System," Energies, MDPI, vol. 10(6), pages 1-15, May.
    14. Stefano De Pinto & Pablo Camocardi & Christoforos Chatzikomis & Aldo Sorniotti & Francesco Bottiglione & Giacomo Mantriota & Pietro Perlo, 2020. "On the Comparison of 2- and 4-Wheel-Drive Electric Vehicle Layouts with Central Motors and Single- and 2-Speed Transmission Systems," Energies, MDPI, vol. 13(13), pages 1-24, June.
    15. Eckert, Jony Javorski & Silva, Fabrício L. & da Silva, Samuel Filgueira & Bueno, André Valente & de Oliveira, Mona Lisa Moura & Silva, Ludmila C.A., 2022. "Optimal design and power management control of hybrid biofuel–electric powertrain," Applied Energy, Elsevier, vol. 325(C).
    16. Nan, Sirui & Tu, Ran & Li, Tiezhu & Sun, Jian & Chen, Haibo, 2022. "From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus," Energy, Elsevier, vol. 261(PA).
    17. Sofia Dahlgren & Jonas Ammenberg, 2021. "Sustainability Assessment of Public Transport, Part II—Applying a Multi-Criteria Assessment Method to Compare Different Bus Technologies," Sustainability, MDPI, vol. 13(3), pages 1-30, January.
    18. Huang, Hai-chao & He, Hong-di & Peng, Zhong-ren, 2024. "Urban-scale estimation model of carbon emissions for ride-hailing electric vehicles during operational phase," Energy, Elsevier, vol. 293(C).
    19. Paúl Andrés Molina Campoverde, 2023. "Estimation of Fuel Consumption through PID Signals Using the Real Emissions Cycle in the City of Quito, Ecuador," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    20. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.

    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:eee:appene:v:306:y:2022:i:pa:s0306261921012733. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.