Tesis doctoralsDepartament d'Enginyeria Química

Driving towards sustainability: Decision support tools to guide the energy transition in the transport sector

  • Datos identificativos

    Identificador:  TDX:4298
    Autores:  Cabrera Jiménez, Richard Emmanuel
    Resumen:
    This thesis endeavors to address emerging challenges within the transportation sector and facilitate a sustainable energy transition by providing guidance for effective sustainability policies. Despite the substantial challenges associated with the use of biofuels, the thesis recognizes their significant potential for environmental improvement compared to current fuels. In response to this recognition, the study emphasizes the importance of informed decisionmaking among various stakeholders, including research centers, companies, and policymakers. To navigate the intricate landscape surrounding biofuels, the thesis addresses three specific challenges related to biofuel adoption, offering practical examples that demonstrate the effective utilization of specific tools for informed decision-making. Firstly, it addresses the selection of optimal biofuel alternatives for light-duty vehicles. Multicriteria Decision-Making (MCDM) tools, particularly Data Envelopment Analysis, are employed, guided by a comprehensive Life Cycle Assessment (LCA) approach. The second area of focus delves into the optimal design of a biofuel production process, with a specific focus on the emerging technology of microalgae-based biofuels for heavy transport. In this stage, simulation tools are employed to understand factors such as raw material use, energy consumption, and emissions. released.
  • Otros:

    Editor: Universitat Rovira i Virgili
    Fecha: 2024-01-29, 2025-02-11T23:05:45Z, 2024-02-12T11:56:52Z
    Identificador: http://hdl.handle.net/10803/690027
    Departamento/Instituto: Departament d'Enginyeria Química, Universitat Rovira i Virgili.
    Idioma: eng
    Autor: Cabrera Jiménez, Richard Emmanuel
    Director: Pozo Fernández, Carlos
    Fuente: TDX (Tesis Doctorals en Xarxa)
    Formato: application/pdf, 315 p.
  • Palabras clave:

    Mathematical programming
    LCA
    Programación matemática
    DEA
    Programació matemàtica
    ACV
    Enginyeria i arquitectura
  • Documentos:

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