Energy Hub Model for the Massive Adoption of Hydrogen in Power Systems

Fabio Massaro, Maria Luisa Di Silvestre, Marco Ferraro, Francesco Montana (), Eleonora Riva Sanseverino and Salvatore Ruffino
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Fabio Massaro: Department of Engineering, University of Palermo, 90128 Palermo, Italy
Maria Luisa Di Silvestre: Department of Engineering, University of Palermo, 90128 Palermo, Italy
Marco Ferraro: National Research Council of Italy (CNR), Institute for Advanced Energy Technologies “Nicola Giordano” (ITAE), 90128 Palermo, Italy
Francesco Montana: Department of Engineering, University of Palermo, 90128 Palermo, Italy
Eleonora Riva Sanseverino: Department of Engineering, University of Palermo, 90128 Palermo, Italy
Salvatore Ruffino: Department of Engineering, University of Palermo, 90128 Palermo, Italy

Energies, 2024, vol. 17, issue 17, 1-31

Abstract: A promising energy carrier and storage solution for integrating renewable energies into the power grid currently being investigated is hydrogen produced via electrolysis. It already serves various purposes, but it might also enable the development of hydrogen-based electricity storage systems made up of electrolyzers, hydrogen storage systems, and generators (fuel cells or engines). The adoption of hydrogen-based technologies is strictly linked to the electrification of end uses and to multicarrier energy grids. This study introduces a generic method to integrate and optimize the sizing and operation phases of hydrogen-based power systems using an energy hub optimization model, which can manage and coordinate multiple energy carriers and equipment. Furthermore, the uncertainty related to renewables and final demands was carefully assessed. A case study on an urban microgrid with high hydrogen demand for mobility demonstrates the method’s applicability, showing how the multi-objective optimization of hydrogen-based power systems can reduce total costs, primary energy demand, and carbon equivalent emissions for both power grids and mobility down to −145%. Furthermore, the adoption of the uncertainty assessment can give additional benefits, allowing a downsizing of the equipment.

Keywords: energy hub; green hydrogen; microgrid; optimization; renewables (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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