Research Progress on Design and Optimization of Hydrogen-Enabled Zero-Carbon Energy Systems

LIU Jinhui; XU Zhanbo; WU Jiang; GUO Wangyi; JIAN Xiyan; GUAN Xiaohong

doi:10.7652/xjtuxb202604008

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Research Progress on Design and Optimization of Hydrogen-Enabled Zero-Carbon Energy Systems

Special Topic Outstanding Achievements in Natural Sciences of Xi'an Jiaotong University | 更新时间：2026-04-10

- Research Progress on Design and Optimization of Hydrogen-Enabled Zero-Carbon Energy Systems
- Journal of Xi'an Jiaotong University Vol. 60, Issue 4, Pages: 99-114(2026)
- 作者机构：
  
  西安交通大学自动化科学与工程学院，710049，西安
  清华大学自动化系，100084，北京
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202604008
  CLC： TM73
- Received：26 September 2025，
  
  Online First：14 November 2025，
  
  Published：10 April 2026
- 稿件说明：
移动端阅览
LIU Jinhui, XU Zhanbo, WU Jiang, et al. Research Progress on Design and Optimization of Hydrogen-Enabled Zero-Carbon Energy Systems[J]. Journal of Xi'an Jiaotong University, 2026, 60(4): 99-114.
DOI：

LIU Jinhui, XU Zhanbo, WU Jiang, et al. Research Progress on Design and Optimization of Hydrogen-Enabled Zero-Carbon Energy Systems[J]. Journal of Xi'an Jiaotong University, 2026, 60(4): 99-114. DOI： 10.7652/xjtuxb202604008.

摘要

氢电互补是实现我国“双碳”目标的必然之路，然而氢能引入综合能源系统后，氢、电、冷、热、可再生等多种能源耦合使得零碳能源系统结构设计、运行优化以及控制的复杂性大幅增加。西安交通大学管晓宏教授团队在国家“双碳”目标指引下，在零碳能源系统结构设计、面向零碳运行的优化方法、能碳协同管控技术3个方面取得了开创性成果。首先，设计了氢赋能零碳能源系统供-储-需协同的新结构，提出了氢赋能零碳能源系统规划方法，支撑了百余个建筑或工业园区，数据中心等用能场景的零碳能源系统的最优规划。其次，针对能源系统中存在的供需随机特性以及跨时间尺度差异问题，从计算架构、不确定性建模与动态调度机制切入，提出了一系列创新性运行优化和能碳管理方法，在国际学术前沿取得了系列开创性成果。最后，开发了高效协同、适时交互的智能感知-弹性通信-自主计算-协同优化一体化平台，应用于榆林零碳分布式能源中心，实现系统年化运行成本降低超36%，将每吨标煤能耗碳排放降低至0.19 t，引领了能源系统的绿色化、智慧化发展。未来，氢赋能零碳能源系统在结构设计、运行优化和协同管控3个方向上仍需探索，其技术突破与工程落地将会是能源行业绿色变革的关键。

Abstract

Hydrogen-electricity complementarity is an inevitable pathway for achieving China's“dual-carbon”goals.However，the integration of hydrogen energy into integrated energy systems significantly increases the complexity of structural design，operational optimization，and control for zero-carbon energy systems，due to the coupling of multiple energy sources such as hydrogen，electricity，cooling，heating，and renewables. Guided by the national“dual-carbon”goals，pioneering achievements have been made by the research team led by professor Guan Xiaohong from Xi'an Jiaotong University in three key areas：the structural design of zero-carbon energy systems，optimization methods for zero-carbon operation，and energy-carbon coordinated management and control technologies. First，a novel“supply-storage-demand”collaborative structure for hydrogen-enabled zero-carbon energy systems was designed，and a corresponding planning method was proposed.This method has supported the optimal planning of zero-carbon energy systems for over 100 energy-consuming scenarios，including buildings，industrial parks，and data centers.Second，to address the stochastic characteristics of supply and demand and cross-timescale differences in energy systems，a series of innovative operational optimization and energycarbon management methods were developed from the perspectives of computational architecture，uncertainty modeling，and dynamic scheduling mechanisms，yielding pioneering results at the international academic frontier.Finally，an integrated platform featuring efficient collaboration and timely interaction，encompassing “intelligent perception，elastic communication，autonomous computing，and collaborative optimization，”was developed.Applied in the Yulin zero-carbon distributed energy center，this platform has achieved a reduction of over 36% in the system's annual operating cost and lowered carbon emissions per ton of standard coal equivalent to 0.19 tons，thereby advancing the green and intelligent development of energy systems.Future exploration in hydrogen-enabled zero-carbon energy systems is still required in the directions of structural design，operational optimization，and coordinated management and control.Technological breakthroughs and engineering implementation in these areas will be pivotal for the green transformation of the energy industry.

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references

IEA.Global energy review 2025 [EB/OL].（2025-03-24）[2025-08-21].https://www.iea.org/reports/global-energy-review-2025.

IEA.Renewables 2024 [EB/OL].（2024-10-09）[2025-09-12].https://www.iea.org/reports/renewables-2024.

中华人民共和国中央人民政府.可再生能源装机规模实现新突破[EB/OL].（2024-11-20）[2025-08-31]. https://www.gov.cn/yaowen/liebiao/202411/content_6988406.htm.

CUI Gaochen，JIA Qingshan，GUAN Xiaohong.Energy management of networked microgrids with real-time pricing by reinforcement learning [J].IEEE Transactions on Smart Grid，2024，15（1）：570-580.

HUANG Qilong，YANG Li，JIA Qingshan，et al.A simulation-based primal-dual approach for constrained V2G scheduling in a microgrid of building [J].IEEE Transactions on Automation Science and Engineering，2023，20（3）：1851-1863.

YANG Yujie，ZHOU Yadong，WU Jiang，et al.A failure tree model for cascading failure in power grid with uncertain renewable energy generation [J].IEEE Transactions on Automation Science and Engineering，2025，22：4092-4108.

YANG Yujie，ZHOU Yadong，HE Sizhe，et al.A Markov tree model for cascading failure risk assessment in power grid with uncertain renewable energy generation [J/OL].IEEE Transactions on Circuits and Systems：I Regular Papers.（2025-09-03）[2025-09-24].https://doi.org/10.1109/TCSI.2025.3601132.

MA Donglai，CAO Xiaoyu，ZENG Bo，et al.Proactive robust hardening of resilient power distribution network：decision-dependent uncertainty modeling and fast solution strategy [J].IEEE Transactions on Automation Science and Engineering，2025，22：14953-14966.

LAN Yu，ZHAI Qiaozhu，LIU Xiaoming，et al.Gradient accelerated stochastic dual dynamic programming for economic dispatch in microgrids with energy storages [J].Journal of Energy Storage，2024，100（Part B）：113633.

U.S.Department of Energy.U.S.National Clean Hydrogen Strategy and Roadmap [R].[S.l.：s.n.]，2023.

DONG Xiangxiang，WU Jiang，XU Zhanbo，et al. Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage [J].Applied Energy，2022，308：118274.

SUN Xunhang，CAO Xiaoyu，ZENG Bo，et al.Multistage dynamic planning of integrated hydrogen-electrical microgrids under multiscale uncertainties [J]. IEEE Transactions on Smart Grid，2023，14（5）：3482-3498.

LIU Jinhui，XU Zhanbo，WU Jiang，et al.Optimal planning of distributed hydrogen-based multi-energy systems [J].Applied Energy，2021，281：116107.

LIU Kun，XU Zhanbo，GAO Feng，et al.Coordination optimization of hydrogen-based multi-energy system with multiple storages for industrial park [J].IET Generation Transmission & Distribution，2023，17（6）：1190-1203.

YU Liang，XU Zhanbo，GUAN Xiaohong，et al.Joint optimization and learning approach for smart operation of hydrogen-based building energy systems [J].IEEE Transactions on Smart Grid，2023，14（1）：199-216.

WU Jiang，WU Longkun，XU Zhanbo，et al.Dynamic pricing and prices spike detection for industrial park with coupled electricity and thermal demand [J].IEEE Transactions on Automation Science and Engineering，2022，19（3）：1326-1337.

LIU Jinhui，ZHAO Yanling，XU Zhanbo，et al.Coordinated integration of hydrogen-enabled multi-energy systems to achieve zero-carbon buildings [J].Building and Environment，2025，284：113433.

LIU Jinhui，XU Zhanbo，WU Jiang，et al.Optimal planning of internet data centers decarbonized by hydrogen-water-based energy systems [J].IEEE Transactions on Automation Science and Engineering，2023，20（3）：1577-1590.

GUAN Xiaohong，XU Zhanbo，LIU Yaping，et al. Reduction in energy consumption of the 5 G communication system and beyond through collaborative optimization for BS site operation：challenges，efforts and the new approach [J].IEEE Transactions on Industrial Informatics，2024，20（3）：3948-3963.

YU Liang，YUE Dong，CHEN Zhiqiang，et al.Online operation optimization for hydrogen-based building energy systems under uncertainties [J].IEEE Transactions on Smart Grid，2024，15（5）：4589-4601.

WANG Tengbo，DONG Yuchen，CAO Xiaoyu，et al. Economic and resilient planning of hydrogen-enriched power distribution network with mobile hydrogen energy resources [J].International Journal of Hydrogen Energy，2025，144：1001-1018.

DONG Xiangxiang，WU Jiang，XU Zhanbo，et al. Optimal coordination of hydrogen-enabled building energy systems considering thermal dynamics [J].IEEE Transactions on Industry Applications，2024，60（5）：7824-7834.

TIAN Zhaoming，CAO Xiaoyu，ZENG Bo，et al.Adaptive infinite-horizon control of hybrid EV/FCEV charging hubs：a large-model based deep reinforcement learning approach [J].Applied Energy，2025，390：125840.

SUN Xunhang，CAO Xiaoyu，LI Miaomiao，et al. Seasonal operation planning of hydrogen-enabled multi-energy microgrids through multistage stochastic programming [J].Journal of Energy Storage，2024，85：111125.

徐占伯，周春翔，吴江，等.基于边云协同的建筑能源系统分布式供需协同优化[J].中国科学（信息科学），2023，53（3）：517-534.XU Zhanbo，ZHOU Chunxiang，WU Jiang，et al.

Edge-cloud framework-based distributed optimization of a building energy system with supply-demand coordination[J].Scientia Sinica（Informationis），2023，53（3）：517-534.

ZHOU Yuzhou，ZHAI Qiaozhu，XU Zhanbo，et al. Multi-stage adaptive stochastic-robust scheduling method with affine decision policies for hydrogenbased multi-energy microgrid [J].IEEE Transactions on Smart Grid，2024，15（3）：2738-2750.

YANG Feisheng，LIU Jiaming，GUAN Xiaohong. Distributed fixed-time optimal energy management for microgrids based on a dynamic event-triggered mechanism [J].IEEE/CAA Journal of Automatica Sinica，2024，11（12）：2396-2407.

YANG Xuesong，GUO Wangyi，GAO Feng，et al. Dynamic real time event-triggered scheduling for hydrogen-based integrated energy system [C]//2024 China Automation Congress（CAC）.Piscataway，NJ，USA：IEEE，2024：3329-3334.

WANG Bohui，XU Zhanbo，GUAN Xiaohong.Robust load frequency control for uncertain multi-area power systems with coupling of system dynamics and reconfigurable communication networks：network switching，automatic decision and gain schedule [J/OL]. IEEE Transactions on Power Systems.（2025-08-22）[2025-09-17].https://doi.org/10.1109/TPWRS. 2025 .3601847.

WU Zijian，JIA Qingshan，GUAN Xiaohong.Optimal control of multiroom HVAC system：an event-based approach [J].IEEE Transactions on Control Systems Technology，2016，24（2）：662-669.

CHEN Xiaodi，ZHANG Meng，WU Zhengguang，et al.Model-free load frequency control of nonlinear power systems based on deep reinforcement learning [J].IEEE Transactions on Industrial Informatics，2024，20（4）：6825-6833.

WANG Xiaoyu，HUANG Jingjing，XU Zhanbo，et al. Real-world scale deployment of hydrogen-integrated microgrid：design and control [J].IEEE Transactions on Sustainable Energy，2024，15（4）：2380-2392.

YU Liang，SUN Yi，XU Zhanbo，et al.Multi-agent deep reinforcement learning for HVAC control in commercial buildings [J]. IEEE Transactions on Smart Grid，2021，12（1）：407-419.

刘家丞，吴江，刘鹏远，等.面向负荷特征分析的地理分布式协同聚类方法[J].电力系统自动化，2022，46（15）：112-120.

LIU Jiacheng，WU Jiang，LIU Pengyuan，et al.Geodistributed collaborative clustering method for load characteristic analysis [J]. Automation of Electric Power Systems，2022，46（15）：112-120.

TIAN Ying，WU Jiang，XU Zhanbo，et al.Integrated modeling and dynamic evaluation indicator system of urban energy systems towards a sustainable，low-carbon pathway [J].Energy，2025，319：134993.

ZHOU Yadong，SU Ying，XU Zhanbo，et al.A hybrid physics-based/data-driven model for personalized dynamic thermal comfort in ordinary office environment [J].Energy and Buildings，2021，238：110790.

PAN Guangsheng，GU Wei，LU Yuping，et al.Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage [J].IEEE Transactions on Sustainable Energy，2020，11（4）：2662-2676.

XIA Qinqin，WANG Qianggang，ZOU Yao，et al. Physical model-assisted deep reinforcement learning for energy management optimization of industrial electric-hydrogen coupling system with hybrid energy storage [J].Journal of Energy Storage，2024，100（Part A）：113477.

GUAN Xiaohong，XU Zhanbo，JIA Qingshan，et al. Cyber-physical model for efficient and secured operation of CPES or energy Internet [J].Science China Information Sciences，2018，61（11）：110201.

LIU Zhijian，FAN Guangyao，MENG Xiangrui，et al. Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage [J].Energy，2024，291：130397.

WANG Zhewei，DU Banghua，LI Yang，et al.Multitime scale scheduling optimization of integrated energy systems considering seasonal hydrogen utilization and multiple demand responses [J].International Journal of Hydrogen Energy，2024，67：728-749.

GUO Wangyi，XU Zhanbo，LIU Jinhui，et al. Optimal coordination of zero carbon building energy systems [J].National Science Open，2024，3（3）：20240004.

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