Xue Zhang¹, Jie Chen^2,*, Zhihui Zhang³, Dewei Zhang³, Yuejiao Ming³, Xinde Zhang³

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069487 - 27 December 2025

Abstract The integration of wind power and natural gas for hydrogen production forms a Green and Blue Hydrogen Integrated Energy System (GBH-IES), which is a promising cogeneration approach characterized by multi-energy complementarity, flexible dispatch, and efficient utilization. This system can meet the demands for electricity, heat, and hydrogen while demonstrating significant performance in energy supply, energy conversion, economy, and environment (4E). To evaluate the GBH-IES system effectively, a comprehensive performance evaluation index system was constructed from the 4E dimensions. The fuzzy DEMATEL method was used to quantify the causal relationships between indicators, establishing a scientific input-output… More > Graphic Abstract

Mengjie Wang¹, Jingfa Li^2,*, Bo Yu², Nianrong Wang³, Xiaofeng Wang³, Tao Hu⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3055-3072, 2025, DOI:10.32604/fdmp.2025.071675 - 31 December 2025

Abstract The adaptation of existing natural gas pipelines for hydrogen transportation has attracted increasing attention in recent years. Yet, whether hydrogen and natural gas stratify under static conditions remains a subject of debate, and experimental evidence is still limited. This study presents an experimental investigation of the concentration distribution of hydrogen–natural gas mixtures under static conditions. Hydrogen concentration was measured using a KTL-2000M-H hydrogen analyzer, with a measurement range of 0–30% (by volume), an accuracy of 1% full scale (FS), and a resolution of 0.01%. Experiments were conducted in a 300 cm riser, filled with uniformly… More >

C. M. Fu^a, M. Z. Ge^b, X. Q. Zhang^c, W. Yan^c,*

Chalcogenide Letters, Vol.22, No.8, pp. 665-677, 2025, DOI:10.15251/CL.2025.228.665

Abstract Constructing heterojunctions represents a crucial strategy for enhancing semiconductor photocatalysts. In this study, the C-MoO₂/Cd_0.9Zn_0.1S S-scheme heterojunction composite was successfully fabricated through a self-assembly approach. XPS analysis confirmed the spontaneous transfer of intrinsic electrons from Cd_0.9Zn_0.1S to C-MoO₂ in the dark, establishing an internal electric field at the C-MoO2/Cd_0.9Zn_0.1S interface. Under visible light irradiation, the C-MoO₂/Cd_0.9Zn_0.1S composite exhibited significantly enhanced hydrogen evolution activity, achieving a 6.3-fold improvement compared to pristine Cd_0.9Zn_0.1S. PL, TRPL, and electrochemical measurements collectively demonstrated that the incorporation of C-MoO₂ effectively suppressed the recombination of photogenerated electrons in Cd_0.9Zn_0.1S. The outstanding photocatalytic performance and improved charge More >

Wang Gu¹, Yuanyuan Song², Zhihu Zhang³, Minggang Zheng^1,*

Energy Engineering, Vol.122, No.12, pp. 4837-4856, 2025, DOI:10.32604/ee.2025.069529 - 27 November 2025

Abstract Driven by the global “dual-carbon” goals, hydrogen fuel cell electric vehicles (FCEVs) are being rapidly promoted as a zero-emission transportation solution. However, their large-scale application is constrained by issues such as inefficient operation, poor information flow between vehicles and stations, and potential safety hazards, which are caused by insufficient intelligence of hydrogen refueling stations. This study aims to address these problems by deeply integrating Cellular Vehicle-to-Everything (C-V2X) technology with hydrogen refueling stations, thereby building a safe, efficient, and low-carbon hydrogen energy application ecosystem to promote the global transition to zero-carbon transportation. Firstly, through literature review… More >

Baiyue Song¹, Chenxi Zhang², Wei Zhang^2,*, Leiyu Wan²

Energy Engineering, Vol.122, No.12, pp. 4919-4945, 2025, DOI:10.32604/ee.2025.068971 - 27 November 2025

Abstract Hydrogen energy is a crucial support for China’s low-carbon energy transition. With the large-scale integration of renewable energy, the combination of hydrogen and integrated energy systems has become one of the most promising directions of development. This paper proposes an optimized scheduling model for a hydrogen-coupled electro-heat-gas integrated energy system (HCEHG-IES) using generative adversarial imitation learning (GAIL). The model aims to enhance renewable-energy absorption, reduce carbon emissions, and improve grid-regulation flexibility. First, the optimal scheduling problem of HCEHG-IES under uncertainty is modeled as a Markov decision process (MDP). To overcome the limitations of conventional deep… More >

Jack Kiing Teck Wei¹, Mohanad Taher Mohamed Sayed Roshdy¹, Bryan Ho Liang Hui¹, Jalal Tavalaei¹, Hadi Nabipour Afrouzi^2,*

Energy Engineering, Vol.122, No.11, pp. 4755-4775, 2025, DOI:10.32604/ee.2025.069980 - 27 October 2025

Abstract In this article, a hybrid energy storage system powered by renewable energy sources is suggested, which is connected to a grid-tied electric vehicle charging bay (EVCB) in Sarawak and is examined for its techno-economic effects. With a focus on three renewable energy sources, namely hydrokinetic power, solar power, and hydrogen fuel cells, the study seeks to minimize reliance on the electrical grid while meeting the growing demand from the growing electric vehicle (EV) infrastructure. A hybrid renewable energy storage system that combines solar power, hydrogen fuel cells, hydrokinetic power, and the grid was simulated and… More >

Yukun Yang^*, Jun He, Wenfeng Chen, Zhi Li, Kun Chen

Energy Engineering, Vol.122, No.11, pp. 4653-4678, 2025, DOI:10.32604/ee.2025.068199 - 27 October 2025

Abstract To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to… More >

Hongsheng Su¹, Wenyao Su¹, Yulong Che^1,*, Xiping Ma², Tian Zhao¹, Limiao Ren¹

Energy Engineering, Vol.122, No.11, pp. 4777-4797, 2025, DOI:10.32604/ee.2025.068134 - 27 October 2025

Abstract Aiming at the issues of insufficient carrying capacity, limited flexibility, and weak source-network-load-storage coordination capability in distribution networks under the background of high-proportion new energy integration. This study proposes a bi-level optimization model for ADN integrating hybrid wind-solar-hydrogen-storage systems. First, an electro-hydrogen coupling system framework is constructed, including models for electrolytic hydrogen production, hydrogen storage, and fuel cells. Meanwhile, typical scenarios of wind-solar joint output are developed using Copula functions to characterize the variability of renewable energy generation. Second, a bi-level optimization model for ADN with electrolytic hydrogen production and storage systems is established: the… More >

Jiayun Ding, Bin Chen^*, Yutong Lei, Wei Zhang

Energy Engineering, Vol.122, No.11, pp. 4561-4577, 2025, DOI:10.32604/ee.2025.067574 - 27 October 2025

Abstract In the field of low-carbon building systems, the combination of renewable energy and hydrogen energy systems is gradually gaining prominence. However, the uncertainty of supply and demand and the multi-energy flow coupling characteristics of this system pose challenges for its optimized scheduling. In light of this, this study focuses on electro-thermal-hydrogen trigeneration systems, first modelling the system’s scheduling optimization problem as a Markov decision process, thereby transforming it into a sequential decision problem. Based on this, this paper proposes a reinforcement learning algorithm based on deep deterministic policy gradient improvement, aiming to minimize system operating… More >

Yanfeng Li¹, Dongxu Han^1,*, Jinhui Lin², Qingwei Zhai³, Xiaohua Wu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011547

Abstract Liquid hydrogen (LH2), with its high volumetric energy density and high purity, has become a promising choice for hydrogen storage. As the demand for hydrogen as a clean energy source continues to grow, the importance of liquid hydrogen in energy storage is becoming increasingly significant. However, the safe operation and storage of liquid hydrogen face several challenges, particularly the self-pressurization process within storage tanks. During storage, heat ingress into the tank causes the evaporation of liquid hydrogen, leading to a continuous rise in vapor pressure, resulting in self-pressurization. Accurately predicting this process is crucial for… More >