Optimal incentive design for hydrogen technologies in integrated energy systems: A bilevel optimization approach

Hydrogen is increasingly recognized as a key enabling technology for decarbonizing hard-to-abate sectors and for hedging against the price volatility of conventional fossil fuels, but its large-scale deployment hinges critically on well-calibrated public incentive mechanisms. A fundamental challenge is that the regulator’s incentive decision and the operator’s investment response are hierarchically coupled. This paper addresses the problem through a bilevel optimization framework in which a public authority sets technology subsidies at the upper level, anticipating the cost-minimizing investment and dispatch decisions of an energy community operator at the lower level. The model captures the full interplay between incentive design and system response within a multi-energy setting that integrates electricity, heat, and hydrogen carriers. Computational experiments are carried out on a realistic multi-energy community test case.

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Publication Details

Journal
International Journal of Hydrogen Energy
Published
2026-10-15
DOI
https://doi.org/10.1016/j.ijhydene.2026.157954
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Optimal incentive design for hydrogen technologies in integrated energy systems: A bilevel optimization approach

Maria Elena Bruni, Sara Khodaparasti
International Journal of Hydrogen Energy
Integrated Energy Systems Optimization
article

Optimal incentive design for hydrogen technologies in integrated energy systems: A bilevel optimization approach

Maria Elena Bruni, Sara Khodaparasti
article en

Abstract

Hydrogen is increasingly recognized as a key enabling technology for decarbonizing hard-to-abate sectors and for hedging against the price volatility of conventional fossil fuels, but its large-scale deployment hinges critically on well-calibrated public incentive mechanisms. A fundamental challenge is that the regulator’s incentive decision and the operator’s investment response are hierarchically coupled. This paper addresses the problem through a bilevel optimization framework in which a public authority sets technology subsidies at the upper level, anticipating the cost-minimizing investment and dispatch decisions of an energy community operator at the lower level. The model captures the full interplay between incentive design and system response within a multi-energy setting that integrates electricity, heat, and hydrogen carriers. Computational experiments are carried out on a realistic multi-energy community test case.

International Journal of Hydrogen EnergyVol. 284
Mercatorum University (IT), University of Calabria (IT)
Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Integrated Energy Systems Optimization
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