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March 12, 2026International Journal of Hydrogen Energy0 citationsOpen Access

Hydrogen-centric multi-energy systems for high-renewables grids: Technologies, flexibility services, and deployment pathways - A critical review

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BSBaskaran Shanmugam

Key Points

  • To assess hydrogen-centric multi-energy systems (H-MES) for their effectiveness in supporting high-renewable energy grids.
  • Systematic review of technologies and deployment pathways for H-MES.
  • Evaluation across key domains: electrolysis, storage, reconversion, and market integration.
  • Standardized metrics for performance assessment of flexibility and adequacy.
  • H-MES can effectively transform surplus renewable electricity into hydrogen for long-duration storage.
  • Introduction of decision-oriented KPIs for transparency in planning and investment for H-MES.
  • Establishment of a coherent techno-economic framework that assesses parasitic losses and by-products.

Abstract

The escalating integration of variable renewable energy (VRE) necessitates the development of energy systems that can furnish flexibility across a spectrum of temporal scales, ranging from mere seconds to entire seasons, in alignment with Sustainable Development Goals (SDGs) 7, 9, and 13. Hydrogen-centric multi-energy systems (H-MES) fulfill this requirement by facilitating the transformation of surplus renewable electricity into hydrogen, thus enabling long-duration energy storage, followed by its reconversion into electricity, thermal energy, and mobility fuels, all while enhancing grid reliability. This review offers a systematically structured and decision-oriented evaluation of H-MES across four pivotal domains: grid-responsive electrolysis, hydrogen storage technologies, reconversion pathways, and the integration of systems with market participation. The assessment of performance is standardized through the utilization of grid-relevant metrics, thereby facilitating a consistent evaluation of both flexibility and adequacy. A cohesive techno-economic and life-cycle framework is employed that accounts for parasitic losses and the utilization of by-products. Decision-oriented indicators, including Effective Load Carrying Capability (ELCC), Loss of Load Expectation (LOLE), curtailment absorption, and ₹/MWh-shifted, are introduced to enhance transparency in planning, investment analysis, and the scalable deployment of hydrogen-based energy systems. • Normalized framework links electrolyzer, storage, and reconversion dynamics. • Decision-ready KPIs connect technology, market design, and reliability metrics. • Temporal LCA aligns hydrogen system operations with dispatch and emissions. • Archetype-based synthesis enables bankable hydrogen deployment pathways. • Unified model bridges flexibility, adequacy, and sustainability in high-VRE grids.

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Cite This Study

Baskaran Shanmugam (2026) studied this question.

synapsesocial.com/papers/69b25aab96eeacc4fcec896fhttps://doi.org/10.1016/j.ijhydene.2026.154429
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