Low-Carbon Scheduling of Integrated Energy Systems Considering Synergistic Optimization of Carbon Capture and Hydrogen Storage Capacity

NIU Mingbo; PANG Hanyu; LÜ Youjun; LI Guoxing

doi:10.7652/xjtuxb202509005

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Low-Carbon Scheduling of Integrated Energy Systems Considering Synergistic Optimization of Carbon Capture and Hydrogen Storage Capacity

更新时间：2025-09-11

- Low-Carbon Scheduling of Integrated Energy Systems Considering Synergistic Optimization of Carbon Capture and Hydrogen Storage Capacity
- Journal of Xi’an Jiaotong University Vol. 59, Issue 9, Pages: 41-52(2025)
- 作者机构：
  
  1.长安大学能源与电气工程学院， 710064，西安
  2.西安交通大学绿色氢电全国重点实验室， 710049，西安
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202509005
  CLC： TM732
- Received：31 January 2025，
  
  Online First：15 April 2025，
  
  Published：10 September 2025
- 稿件说明：
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NIU Mingbo, PANG Hanyu, LÜ Youjun, et al. Low-Carbon Scheduling of Integrated Energy Systems Considering Synergistic Optimization of Carbon Capture and Hydrogen Storage Capacity[J]. Journal of Xi’an Jiaotong University, 2025, 59(9): 41-52.
DOI：

NIU Mingbo, PANG Hanyu, LÜ Youjun, et al. Low-Carbon Scheduling of Integrated Energy Systems Considering Synergistic Optimization of Carbon Capture and Hydrogen Storage Capacity[J]. Journal of Xi’an Jiaotong University, 2025, 59(9): 41-52. DOI： 10.7652/xjtuxb202509005.

摘要

为满足低碳能源需求的日益增长，协调低碳技术的优化配置、实现系统经济性与低碳性的统一，构建了一个计及碳捕集、绿氢和蓝氢储能的综合能源系统模型，通过仿真分析研究了碳捕集、氢储能容量优化及多能协同运行对系统总成本和碳排放的影响。引入阶梯式碳交易机制建立低碳调度模型，对碳排放量进行动态约束。构建双层模型以优化氢储能容量配置，上层模型以全生命周期综合投资费用最小为目标，下层模型以系统总运行费用最小为目标，用遗传算法和混合整数线性规划相结合求解。仿真结果表明，碳捕集技术和碳交易机制的作用下，碳排放量降低了24.3%，系统总成本降低了9.5%。引入蓝、绿氢协同机制可以显著提升系统对可再生能源的消纳能力，惩罚成本降低了92.7%。采用优化后的氢储能容量进一步使系统总成本降低了1.54%，碳排放量降低了10.18%，为实现多能协同推动能源结构转型提供了新的思路。

Abstract

To meet the growing demand for low-carbon energy

coordinate the optimal allocation of low-carbon technologies

and achieve system economics and low-carbon performance

this study establishes an integrated energy system model incorporating carbon capture

green hydrogen

and blue hydrogen storage

investigating the impact of carbon capture

hydrogen storage capacity optimization

and multi-energy collaborative operation on total system costs and carbon emissions through simulation analysis. A low-carbon scheduling model is developed using a tiered carbon trading mechanism to dynamically constrain carbon emissions. Moreover

a two-tier model has been developed to optimize hydrogen storage capacity allocation

where the upper model aims to minimize the comprehensive lifecycle investment costs

and the lower model aims to minimize the overall operating costs. The solution combines genetic algorithms and mixed-integer linear programming. Simulation results demonstrate that under the influence of carbon capture and carbon trading

carbon emissions are reduced by 24.3%

and total system costs decrease by 9.5%. The introduction of a collaborative mechanism for blue and green hydrogen significantly enhances the system's capacity to consume renewable energy

reducing penalty costs by 92.7%. Furthermore

adopting the optimized hydrogen storage capacity further reduces the total system costs by 1.54% and carbon emissions by 10.18%. It provides new ideas for realizing multi-energy synergy to promote energy structure transformation.

关键词

Keywords

references

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