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Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

Author

Listed:
  • Regina Lamedica

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Marco Maccioni

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Alessandro Ruvio

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Federico Carere

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Nicola Mortelliti

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Fabio Massimo Gatta

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Alberto Geri

    (Deptartment of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

Abstract

The penetration of e-mobility is growing thanks to the European guidelines on climate preservation regarding the reduction in CO 2 emission. Governments are adapting their economic policies with the aim to incentivize e-mobility. At the same time, with a view to equality and accessibility, countries are working to introduce e-mobility services also for people with disabilities in order to improve the quality of their lives. The paper reports the deployment of an e-mobility service for persons with disabilities carried out in a project financed by Sapienza University of Rome. The project includes a feasibility study and a cost–benefit analysis in order to identify the optimal solution from a technical and environmental point of view for a sustainable e-mobility service for people with reduced mobility. A methodology to design a service based on optimal routes and electric vehicles with respect to energy consumption, time travel, energy and vehicle costs and quality of service is proposed. The 5-step methodology calculates the most energy-efficient routes and defines the optimal charging schedule, taking into account charging points dislocated along the routes and choosing vehicle typologies with the best performance based on economic evaluations. A software was developed to automatize the methodology.

Suggested Citation

  • Regina Lamedica & Marco Maccioni & Alessandro Ruvio & Federico Carere & Nicola Mortelliti & Fabio Massimo Gatta & Alberto Geri, 2022. "Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology," Energies, MDPI, vol. 15(8), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2751-:d:789845
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    References listed on IDEAS

    as
    1. Regina Lamedica & Alessandro Ruvio & Laura Palagi & Nicola Mortelliti, 2020. "Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line," Energies, MDPI, vol. 13(23), pages 1-22, November.
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