On the road to a sustainable transport mobility in isolated power systems: The role of light-duty powertrain electrification

  1. García-Afonso, Óscar 1
  2. Santana-Méndez, Itziar
  3. Delgado-Torres, Agustín M. 1
  4. González-Díaz, Benjamín 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    GRID grid.10041.34

Journal:
Journal of Cleaner Production

ISSN: 0959-6526

Year of publication: 2021

Pages: 128646

Type: Article

Export: RIS
DOI: 10.1016/j.jclepro.2021.128646 GOOGLE SCHOLAR lock_openOpen access editor

Metrics

Cited by

  • Scopus Cited by: 0 (27-11-2021)

JCR (Journal Impact Factor)

(Indicator corresponding to the last year available on this portal, year 2020)
  • Year 2020
  • Journal Impact Factor: 9.297
  • Best Quartile: Q1
  • Area: ENVIRONMENTAL SCIENCES Quartile: Q1 Rank in area: 18/274 (Ranking edition: SCIE)
  • Area: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Quartile: Q1 Rank in area: 3/44 (Ranking edition: SCIE)
  • Area: ENGINEERING, ENVIRONMENTAL Quartile: Q1 Rank in area: 6/54 (Ranking edition: SCIE)

SCImago Journal Rank

(Indicator corresponding to the last year available on this portal, year 2020)
  • Year 2020
  • SJR Journal Impact: 1.937
  • Best Quartile: Q1
  • Area: Environmental Science (miscellaneous) Quartile: Q1 Rank in area: 15/340
  • Area: Industrial and Manufacturing Engineering Quartile: Q1 Rank in area: 14/593
  • Area: Renewable Energy, Sustainability and the Environment Quartile: Q1 Rank in area: 21/486
  • Area: Strategy and Management Quartile: Q1 Rank in area: 35/513

CIRC

  • Social Sciences: A

CiteScore

(Indicator corresponding to the last year available on this portal, year 2020)
  • Year 2020
  • CiteScore of the Journal : 12.5
  • Area: Strategy and Management Percentile: 98
  • Area: Environmental Science (all) Percentile: 98
  • Area: Industrial and Manufacturing Engineering Percentile: 97
  • Area: Renewable Energy, Sustainability and the Environment Percentile: 91

Abstract

Plug-in vehicles are seen as a promising path to reduce the road transport greenhouse gas (GHG) emissions. However, the singularities of small isolated power systems in terms of the high dependence of fossil fuel-based generation and the relative short distances travelled do require a particular analysis to evaluate the potential emission reduction. This paper describes a simulation study for estimating the energy consumption and the corresponding Well-to-Wheels GHG emissions of different light-duty powertrain architectures subjected to real-world driving conditions, taking the island of Tenerife (Canary Islands) as a test case. The simulations have been carried out with a high-level vehicle powertrain system analysis tool, capable to estimate second-by-second vehicle energy consumption. Road gradient, GHG grid intensity and battery capacity impact on the GHG emission reduction were analysed in detail.Based on the results, the current high carbon content of the grid and the additional weight of the large battery packs limit the potential benefit of Battery Electric Vehicles (BEVs) with respect to hybrid architectures (HEV). The simulations also reveal that Plug-in Hybrid Electric Vehicles (PHEVs) currently offer a great potential to reduce the GHG emissions. Unlike other geographical areas, the high Utility Factors derived from the short distances travelled ensure the proper use of this technology.

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