AERODYNAMIC AND ROLLING RESISTANCES OF HEAVY DUTY VEHICLE. SIMULATION OF ENERGY CONSUMPTION

Bajerlein, M., Karpiuk, W., Kurc, B., Smolec, R., & Waligórski, M. (2024). Refining combustion dynamics: Dissolved hydrogen in diesel fuel within turbulent-flow environments. Energies, 17(11), 2446. https://doi.org/10.3390/en17112446
  Google Scholar

Basma, H., Rodríguez, F., Hildermeier, J., Jahn, A., & Project, R. A. (2022). Electrifying last-mile delivery: A total cost of ownership comparison of battery-electric and diesel lorries in Europe. The International Council on Clean Transportation. https://theicct.org/wp-content/uploads/2022/06/tco-battery-diesel-delivery-trucks-jun2022.pdf
  Google Scholar

Bayındırlı, C., Akansu, Y. E., & Salman, M. S. (2016). The determination of aerodynamic drag coefficient of truck and trailer model by wind tunnel tests. International Journal of Automotive Engineering and Technologies, 5(2), 53-60. https://doi.org/10.18245/ijaet.11754
  Google Scholar

Broekaert, S., Grigoratos, T., Savvidis, D., & Fontaras, G. (2021). Assessment of waste heat recovery for heavy-duty vehicles during on-road operation. Applied Thermal Engineering, 191, 116891. https://doi.org/10.1016/J.APPLTHERMALENG.2021.116891
  Google Scholar

Colucci, G., Lerede, D., Nicoli, M., & Savoldi, L. (2023). A dynamic accounting method for CO2 emissions to assess the penetration of low-carbon fuels: application to the TEMOA-Italy energy system optimisation model. Applied Energy, 352, 121951. https://doi.org/10.1016/J.APENERGY.2023.121951
  Google Scholar

Curry, T., Liberman, I., Hoffman-Andrews, L., & Lowell, D. (2021, October 15). Reducing aerodynamic drag and rolling resistance from heavy-duty trucks. International Council on Clean Transportation. https://theicct.org/publication/reducing-aerodynamic-drag-and-rolling-resistance-from-heavy-duty-truck
  Google Scholar

Czyż, Z., Karpiński, P., Gęca, M., & Ulibarrena Diaz, J. (2018a). The air flow influence on the drag force of a sports car. Advances in Science and Technology Research Journal, 12(2), 121-127. https://doi.org/10.12913/22998624/86213
  Google Scholar

Czyż, Z., Karpiński, P., & Sevdim, T. (2018b). Numerical analysis of the drag coefficient of a motorcycle helmet. Applied Computer Science, 14(1), 16-26. https://doi.org/10.23743/acs-2018-02
  Google Scholar

De Robbio, R., Cameretti, M. C., & Mancaruso, E. (2022). Investigation by modelling of a plug-in hybrid electric commercial vehicle with diesel engine on WLTC. Fuel, 317, 123519. https://doi.org/10.1016/J.FUEL.2022.123519
  Google Scholar

Di Pierro, G., Bitsanis, E., Tansini, A., Bonato, C., Martini, G., & Fontaras, G. (2024). Fuel cell electric vehicle characterisation under laboratory and in-use operation. Energy Reports, 11, 611-623. https://doi.org/10.1016/J.EGYR.2023.12.013
  Google Scholar

Eswaranathan, K., Sivakumar, T., De Silva, M. M., & Kumarage, A. S. (2024). Modelling the factors influencing carbon efficiency of consumer choice to promote energy-efficient vehicles. Transport Economics and Management, 2, 130-142 https://doi.org/10.1016/j.team.2024.05.002
  Google Scholar

European Commission: Joint Research Centre, Zacharof, N., Broekaert, S., & Fontaras, G. (2021). Future CO2 reducing technologies in VECTO : VECTO technology coverage and market uptake. Publications Office. https://data.europa.eu/doi/10.2760/985739
  Google Scholar

Fontaras, G., Rexeis, M., Dilara, P., Hausberger, S., & Anagnostopoulos, K. (2013). The development of a simulation tool for monitoring heavy-duty vehicle CO2 emissions and fuel consumption in Europe. SAE Technical Papers, 6, 2013-24-0150. https://doi.org/10.4271/2013-24-0150
  Google Scholar

Grabowski, L. (2021). Modelling research of city bus fuel consumption for different driving cycles. Journal of Physics: Conference Series, 2130, 012001. https://doi.org/10.1088/1742-6596/2130/1/012001
  Google Scholar

Khosravi, M., Mosaddeghi, F., Oveisi, M., & Khodayari, A. (2015). Aerodynamic drag reduction of heavy vehicles using append devices by CFD analysis. Journal of Central South University, 22, 4645-4652. https://doi.org/10.1007/s11771-015-3015-7
  Google Scholar

Krause, J., Arcidiacono, V., Maineri, L., Broekaert, S., & Fontaras, G. (2023). Calculating heavy-duty vehicle CO2 emission reduction costs for Green Deal scenarios: Extension of the DIONE model. Transportation Research Procedia, 72, 2597-2603. https://doi.org/10.1016/J.TRPRO.2023.11.788
  Google Scholar

Na, X., & Cebon, D. (2022). Quantifying fuel-saving benefit of low-rolling-resistance tyres from heavy goods vehicle in-service operations. Transportation Research Part D: Transport and Environment, 113, 103501. https://doi.org/10.1016/J.TRD.2022.103501
  Google Scholar

Qiu, Y., Song, S., & Calstart, R. M. (2022, May). Zero-emission lorry real-world performance in us and europe and implications for china. https://globaldrivetozero.org/publication/zero-emission-truck-real-world-performance-in-us-and-europe-and-implications-for-china/
  Google Scholar

Seo, J., & Park, S. (2023). Developing an official programme to calculate heavy-duty vehicles CO2 emissions in Korea. Transportation Research Part D: Transport and Environment, 120, 103774. https://doi.org/10.1016/J.TRD.2023.103774
  Google Scholar

Tong, F., Wolfson, D., Jenn, A., Scown, C. D., & Auffhammer, M. (2021). Energy consumption and charging load profiles from long-haul lorry electrification in the United States. Environmental Research Infrastructure and Sustainability, 1, 025007. https://doi.org/10.1088/2634-4505/ac186a
  Google Scholar

Wahono, B., Santos, W. B., Nur, A., & Amin. (2015). Analysis of range extender electric vehicle performance using vehicle simulator. Energy Procedure, 68, 409-418. https://doi.org/10.1016/j.egypro.2015.03.272
  Google Scholar

Zhang, C., Shen, K., Yang, F., & Yuan, C. (2019). Multiphysics modelling of energy intensity and energy efficiency of electric vehicle operation. CIRP procedure, 80, 322-327. https://doi.org/10.1016/j.procir.2019.01.058
  Google Scholar