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Sustainable hydrogen manufacturing via renewable-integrated intensified process for refueling stations

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  • Arora, Akhil
  • Zantye, Manali S.
  • Hasan, M.M. Faruque

Abstract

The widescale consumer adoption of hydrogen fuel cell electric vehicles (HFCEVs) is currently hindered by the high cost of small-scale hydrogen generation and the lack of extensive hydrogen refueling infrastructure. Natural gas-based hydrogen is cheaper when produced in large volumes but is also associated with high CO2 emissions. To counter these challenges, we propose a hybrid approach where both natural gas and renewables are integrated in a synergistic manner using a dynamic process intensification technology that can be deployed on-site for meeting local demands of refueling stations. The technology is based on sorption enhanced steam methane reforming (SE-SMR) that utilizes a combination of reaction with in-situCO2 adsorption for enhancing process modularity, productivity and efficiency thereby outperforming conventional SMR at small scale. We develop a mixed integer linear programming (MILP)-based optimization framework for simultaneous design and scheduling of the SE-SMR process. The simultaneous optimization provides a synergistic combination whereby the renewables allow sustainable hydrogen manufacturing and the dynamic SE-SMR allows optimal use of the intermittency of the renewables. The U.S. nationwide analysis indicates that for futuristic renewable prices and a hydrogen production capacity of 2 ton/day, hydrogen can be produced at 50% less cost compared to the current cost of small-scale hydrogen generation. The city-wise analysis with varying hydrogen demand shows that even with just 5% HFCEV market penetration level, hydrogen production cost less than $3/kg can be obtained at small scales across the United States with even cheaper hydrogen for large cities.

Suggested Citation

  • Arora, Akhil & Zantye, Manali S. & Hasan, M.M. Faruque, 2022. "Sustainable hydrogen manufacturing via renewable-integrated intensified process for refueling stations," Applied Energy, Elsevier, vol. 311(C).
  • Handle: RePEc:eee:appene:v:311:y:2022:i:c:s0306261922001337
    DOI: 10.1016/j.apenergy.2022.118667
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    2. Kim, Jeongdong & Qi, Meng & Park, Jinwoo & Moon, Il, 2023. "Revealing the impact of renewable uncertainty on grid-assisted power-to-X: A data-driven reliability-based design optimization approach," Applied Energy, Elsevier, vol. 339(C).
    3. Roberta Caponi & Enrico Bocci & Luca Del Zotto, 2022. "Techno-Economic Model for Scaling Up of Hydrogen Refueling Stations," Energies, MDPI, vol. 15(20), pages 1-16, October.

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