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Analysing the potential of a simulation-based method for the assessment of CO2 savings from eco-innovative technologies in light-duty vehicles

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Listed:
  • Gil-Sayas, Susana
  • Komnos, Dimitrios
  • Lodi, Chiara
  • Currò, Davide
  • Serra, Simone
  • Broatch, Alberto
  • Fontaras, Georgios

Abstract

Mandatory targets are set in Europe for Carbon Dioxide (CO2) emissions of light-duty vehicles. EU law recognises the potential of certain innovative technologies to contribute to reducing CO2 emissions. Vehicle systems and innovations are becoming increasingly complex, and the accurate quantification of their benefits increasingly difficult. The study investigates the potential of the CO2MPAS simulator to serve this purpose. Two innovative technologies were studied, Light-emitting diode (LED) lighting systems, efficient alternators (EA), and their combination. The model was validated on detailed test results from eight vehicles. A total of 452 passenger cars, for which test data were available, were subsequently simulated using CO2MPAS simulator. The mean simulated CO2 savings was 0.91gCO2/km (LED lights), 0.98 gCO2/km (EA), and 1.78 gCO2/km (combined). Results show that simulated CO2 savings were comparable to those calculated using the existing standardised method. For gasoline and diesel vehicles respectively, the difference in CO2 savings between simulated and existing method was 2.8% and 0.14% in the LED lights case, and 0.6% and 0.67% in the alternator case. In the combined case, the difference was calculated to be 1.7% and 0.34%. Similar approaches could be used in the future for accurately capturing the benefits of more complex technologies.

Suggested Citation

  • Gil-Sayas, Susana & Komnos, Dimitrios & Lodi, Chiara & Currò, Davide & Serra, Simone & Broatch, Alberto & Fontaras, Georgios, 2022. "Analysing the potential of a simulation-based method for the assessment of CO2 savings from eco-innovative technologies in light-duty vehicles," Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222001414
    DOI: 10.1016/j.energy.2022.123238
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    1. Kim, Imjung & Kim, Junghun & Lee, Jongsu, 2020. "Dynamic analysis of well-to-wheel electric and hydrogen vehicles greenhouse gas emissions: Focusing on consumer preferences and power mix changes in South Korea," Applied Energy, Elsevier, vol. 260(C).
    2. Fontaras, Georgios & Valverde, Víctor & Arcidiacono, Vincenzo & Tsiakmakis, Stefanos & Anagnostopoulos, Konstantinos & Komnos, Dimitrios & Pavlovic, Jelica & Ciuffo, Biagio, 2018. "The development and validation of a vehicle simulator for the introduction of Worldwide Harmonized test protocol in the European light duty vehicle CO2 certification process," Applied Energy, Elsevier, vol. 226(C), pages 784-796.
    3. Choi, Hyunhong & Shin, Jungwoo & Woo, JongRoul, 2018. "Effect of electricity generation mix on battery electric vehicle adoption and its environmental impact," Energy Policy, Elsevier, vol. 121(C), pages 13-24.
    4. Yang, Yalian & Hu, Xiaosong & Pei, Huanxin & Peng, Zhiyuan, 2016. "Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach," Applied Energy, Elsevier, vol. 168(C), pages 683-690.
    5. Tsiakmakis, Stefanos & Fontaras, Georgios & Ciuffo, Biagio & Samaras, Zissis, 2017. "A simulation-based methodology for quantifying European passenger car fleet CO2 emissions," Applied Energy, Elsevier, vol. 199(C), pages 447-465.
    6. He, Hongwen & Wang, Yunlong & Han, Ruoyan & Han, Mo & Bai, Yunfei & Liu, Qingwu, 2021. "An improved MPC-based energy management strategy for hybrid vehicles using V2V and V2I communications," Energy, Elsevier, vol. 225(C).
    7. Pavlovic, J. & Ciuffo, B. & Fontaras, G. & Valverde, V. & Marotta, A., 2018. "How much difference in type-approval CO2 emissions from passenger cars in Europe can be expected from changing to the new test procedure (NEDC vs. WLTP)?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 136-147.
    8. Varga, Bogdan Ovidiu, 2013. "Electric vehicles, primary energy sources and CO2 emissions: Romanian case study," Energy, Elsevier, vol. 49(C), pages 61-70.
    9. Zheng, Fangdan & Jiang, Jiuchun & Sun, Bingxiang & Zhang, Weige & Pecht, Michael, 2016. "Temperature dependent power capability estimation of lithium-ion batteries for hybrid electric vehicles," Energy, Elsevier, vol. 113(C), pages 64-75.
    10. Ma, Mina & Wang, Yu & Duan, Qiangling & Wu, Tangqin & Sun, Jinhua & Wang, Qingsong, 2018. "Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis," Energy, Elsevier, vol. 164(C), pages 745-756.
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    1. Carrera-Rodríguez, Marcelino & Villegas-Alcaraz, José Francisco & Salazar-Hernández, Carmen & Mendoza-Miranda, Juan Manuel & Jiménez-Islas, Hugo & Segovia Hernández, Juan Gabriel & de Dios Ortíz-Alvar, 2022. "Monitoring of oil lubrication limits, fuel consumption, and excess CO2 production on civilian vehicles in Mexico," Energy, Elsevier, vol. 257(C).

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