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May 18, 2026Energy Conversion and Management0 citationsOpen Access

Robust low-carbon planning of regional integrated energy systems with cross-seasonal hydrogen shifting and biogenic carbon recycling

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BWBoling WuYLYuxin LiQQQi Qian

Key Points

  • This research aims to develop a robust low-carbon planning model for integrated energy systems using hydrogen and biogenic carbon.
  • Proposed a cross-seasonal carbon-hydrogen coupled regional integrated energy system.
  • Developed a two-stage robust optimization model for capacity planning and recourse dispatch.
  • Utilized a column-and-constraint generation algorithm for solving the planning problem.
  • Hydrogen energy storage supports 8.01% of seasonal demand in winter, indicating effective supply-demand matching.
  • Model reduces carbon intensity by 48.1% compared to intra-day balancing.
  • Achieved a biogenic CO 2 utilization rate of 69.56% and a gas self-sufficiency ratio of 73.82%.

Abstract

• A cross-seasonal carbon-hydrogen coupled regional IES is proposed. • Seasonal representative days are temporally linked through hydrogen storage continuity. • Biogenic CO 2 and green hydrogen are coordinated for methane supply. • A two-stage robust model co-optimizes planning and recourse dispatch. • Cross-seasonal shifting lowers carbon intensity and improves gas self-sufficiency. This study proposes a cross-seasonal carbon-hydrogen coupled integrated energy system to improve long-duration flexibility and low-carbon operation under high renewable penetration and multi-energy uncertainty. A two-stage robust optimization framework is developed to jointly determine capacity planning and recourse dispatch. The key novelty is that hydrogen energy storage is modeled as an inter-period energy carrier across concatenated seasonal representative days, extending its role from conventional intra-day balancing to cross-seasonal energy shifting. Meanwhile, a biogenic carbon recycling pathway is established based on CO 2 separated from the biogas upgrading process, enabling coordinated utilization of green hydrogen for low-carbon synthetic gas supply. The resulting planning problem is solved using a column-and-constraint generation algorithm. The results show that hydrogen energy storage becomes the main robustness resource in the proposed framework. In winter, the cross-seasonally shifted hydrogen supports 8.01% of seasonal demand, indicating its practical value in alleviating structural supply–demand mismatch. Compared with the intra-day balancing case, the proposed model reduces carbon intensity by 48.1%, while achieving a biogenic CO 2 utilization rate of 69.56% and a gas self-sufficiency ratio of 73.82%. Sensitivity analysis further suggests that a moderate uncertainty budget can better balance economic efficiency and operational security, offering useful insight for robust low-carbon planning of integrated energy systems.

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Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/6a0aabf55ba8ef6d83b6f95dhttps://doi.org/10.1016/j.enconman.2026.121623
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