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Lightweight Design Solutions in the Automotive Field: Environmental Modelling Based on Fuel Reduction Value Applied to Diesel Turbocharged Vehicles

Author

Listed:
  • Massimo Delogu

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

  • Francesco Del Pero

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

  • Marco Pierini

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

Abstract

A tailored model for the assessment of environmental benefits achievable by “light-weighting” in the automotive field is presented. The model is based on the Fuel Reduction Value (FRV) coefficient, which expresses the Fuel Consumption (FC) saving involved by a 100 kg mass reduction. The work is composed of two main sections: simulation and environmental modelling. Simulation modelling performs an in-depth calculation of weight-induced FC whose outcome is the FRV evaluated for a wide range of Diesel Turbocharged (DT) vehicle case studies. Environmental modelling converts fuel saving to impact reduction basing on the FRVs obtained by simulations. Results show that for the considered case studies, FRV is within the range 0.115–0.143 and 0.142–0.388 L/100 km × 100 kg, respectively, for mass reduction only and powertrain adaptation (secondary effects). The implementation of FRVs within the environmental modelling represents the added value of the research and makes the model a valuable tool for application to real case studies of automotive lightweight LCA.

Suggested Citation

  • Massimo Delogu & Francesco Del Pero & Marco Pierini, 2016. "Lightweight Design Solutions in the Automotive Field: Environmental Modelling Based on Fuel Reduction Value Applied to Diesel Turbocharged Vehicles," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1167-:d:82662
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    References listed on IDEAS

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    1. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    2. Du, J.D. & Han, W.J. & Peng, Y.H. & Gu, C.C., 2010. "Potential for reducing GHG emissions and energy consumption from implementing the aluminum intensive vehicle fleet in China," Energy, Elsevier, vol. 35(12), pages 4671-4678.
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    Cited by:

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    2. Giulia Sandrini & Marco Gadola & Daniel Chindamo & Andrea Candela & Paolo Magri, 2023. "Exploring the Impact of Vehicle Lightweighting in Terms of Energy Consumption: Analysis and Simulation," Energies, MDPI, vol. 16(13), pages 1-31, July.
    3. Chih-Chao Chung & Yuh-Ming Cheng & Ru-Chu Shih & Shi-Jer Lou, 2019. "Research on the Learning Effect of the Positive Emotions of "Ship Fuel-Saving Project" APP for Engineering Students," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
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