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Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles

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

Abstract

We analyze the use of hydrogen as a fuel for the automotive industry with the aim of decarbonizing the economy. Hydrogen is a suitable option for avoiding pollutant gas emissions, developing environmentally friendly technologies, replacing fossil fuels with clean, renewable energies, and complying with the Paris Agreement and Glasgow resolutions. In this sense, renewable energies such as wind, solar, photovoltaic, geothermal, biomass, etc. can be used to produce the necessary hydrogen to power vehicles. In this way, the entire process from hydrogen production to its consumption as fuel will be 100% clean. If we are to meet future energy demands, it is necessary to forecast the amount of hydrogen needed, taking into account the facilities currently available and new ones that will be required for its generation, storage, and distribution.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522008113
    DOI: 10.1016/j.techfore.2022.122290
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    References listed on IDEAS

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    1. Zeng, Shouzhen & Zhang, Na & Zhang, Chonghui & Su, Weihua & Carlos, Llopis-Albert, 2022. "Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
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