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Sustainability and optimization in the automotive sector for adaptation to government vehicle pollutant emission regulations

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  • Rubio, Francisco
  • Llopis-Albert, Carlos
  • Valero, Francisco
  • Besa, Antonio José

Abstract

Future competitiveness in the automotive sector involves designing sustainability strategies to ensure compliance with government policies on environmental issues. This requires technological optimization to minimize vehicles’ energy consumption and reduce greenhouse gas (GHG) emissions. This paper presents an algorithm to increase the energy efficiency of vehicles with internal combustion engines. On the one hand, the use of this algorithm optimizes the time spent traveling and, on the other, it reduces the energy consumed and the emission of polluting gases in line with the European Union (EU) guidelines in terms of reduction of greenhouse gas emissions, renewable energy share, and improvements in energy efficiency. Based on the difference in energy consumption between optimized and unoptimized vehicles, the economic benefit is quantified in terms of GHG emission quotas, volume of fuel consumed, and the indirect benefits with respect to improving corporate brand image. The methodology has been applied to real examples.

Suggested Citation

  • Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco & Besa, Antonio José, 2020. "Sustainability and optimization in the automotive sector for adaptation to government vehicle pollutant emission regulations," Journal of Business Research, Elsevier, vol. 112(C), pages 561-566.
    • Handle: RePEc:eee:jbrese:v:112:y:2020:i:c:p:561-566
    DOI: 10.1016/j.jbusres.2019.10.050
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    Citations

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    Cited by:

    1. García, Antonio & Monsalve-Serrano, Javier & Lago Sari, Rafael & Tripathi, Shashwat, 2022. "Life cycle CO₂ footprint reduction comparison of hybrid and electric buses for bus transit networks," Applied Energy, Elsevier, vol. 308(C).
    2. Ángel Valera & Francisco Valero & Marina Vallés & Antonio Besa & Vicente Mata & Carlos Llopis-Albert, 2021. "Navigation of Autonomous Light Vehicles Using an Optimal Trajectory Planning Algorithm," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    3. Preechaya Chavalittumrong & Mark Speece, 2022. "Three-Pillar Sustainability and Brand Image: A Qualitative Investigation in Thailand’s Household Durables Industry," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    4. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Yongkyu Choi & Keun Tae Cho, 2021. "Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    6. Secinaro, Silvana & Calandra, Davide & Lanzalonga, Federico & Ferraris, Alberto, 2022. "Electric vehicles’ consumer behaviours: Mapping the field and providing a research agenda," Journal of Business Research, Elsevier, vol. 150(C), pages 399-416.
    7. Fairouz Mustafa & Suman Lodh & Monomita Nandy & Vikas Kumar, 2022. "Coupling of cryptocurrency trading with the sustainable environmental goals: Is it on the cards?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1152-1168, March.
    8. Die Hu & Lu Qiu & Maoyan She & Yu Wang, 2021. "Sustaining the sustainable development: How do firms turn government green subsidies into financial performance through green innovation?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2271-2292, July.
    9. Rashidi-Sabet, Siavash & Madhavaram, Sreedhar & Parvatiyar, Atul, 2022. "Strategic solutions for the climate change social dilemma: An integrative taxonomy, a systematic review, and research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 619-635.
    10. Eslami, Hossein & Krishnan, Trichy, 2023. "New sustainable product adoption: The role of economic and social factors," Energy Policy, Elsevier, vol. 183(C).
    11. Llopis-Albert, Carlos & Palacios-Marqués, Daniel & Simón-Moya, Virginia, 2021. "Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicle," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. Liu, Yang Stephanie & Zhou, Xiaoyan & Yang, Jessica Hong & Hoepner, Andreas G.F. & Kakabadse, Nada, 2023. "Carbon emissions, carbon disclosure and organizational performance," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Tests for Vehicles with Diesel Engines," Energies, MDPI, vol. 14(2), pages 1-30, January.
    14. McLeay, Fraser & Olya, Hossein & Liu, Hongfei & Jayawardhena, Chanaka & Dennis, Charles, 2022. "A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Łukasz Warguła & Piotr Kaczmarzyk, 2022. "Legal Regulations of Restrictions of Air Pollution Made by Mobile Positive Pressure Fans—The Case Study for Europe: A Review," Energies, MDPI, vol. 15(20), pages 1-11, October.
    16. Rubio, Francisco & Llopis-Albert, Carlos & Besa, Antonio José, 2023. "Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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