GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Topic: #Hydrogen (clear)

Showing 301–320 of 1209 papers

Peer-reviewedJournalRenewable Energy Focus2026#HydrogenDOI

Digital twin stackelberg bayesian coordination of mobile storage for uncertainty-resilient renewable integration in offshore and coastal green hydrogen energy hubs

H. Shayeghi, Babak Mohamadi, Peyman Zare

This paper proposes a digital twin and Stackelberg Bayesian coordination method for mobile storage optimization to enable uncertainty-resilient renewable integration in offshore and coastal green hydrogen hubs. It enhances hydrogen producti…

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Peer-reviewedJournalClean Technology2026#HydrogenDOI

Green Hydrogen for Critical-Load Restoration in High-Renewable Power Systems: Energy Not Served Reduction, Economic Value, and Carbon-Resilience Assessment

N. Guerrero-Rodríguez, F. Ramírez-Rivera, Rubén D. Ramos Ciprian

This study proposes a planning framework for using green hydrogen produced from curtailed renewable electricity for critical-load restoration. Applied to the Dominican Republic power system, a 25 t H2 storage module fully covers 6h and 12h …

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Peer-reviewedJournalIEEE Journal of Emerging and Selected Topics in Industrial Electronics2026#HydrogenDOI

Toward Carbon-Neutral Energy Transition: A Multiobjective Optimization Framework for Hydrogen-Integrated Demand-Side Management

Sampatirao Nanibabu, Shakila Baskaran, P. Marimuthu

This paper proposes a multiobjective green anaconda optimization (MOGAO) framework for demand-side management integrating hydrogen storage, renewables, and EVs. It achieves significant peak load (38.36%), cost (42.69%), and emission (67.56%…

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🌍 GlobalConference2026 IEEE 3rd International Conference on Electrical Power Systems and Intelligent Control (EPSIC)2026#HydrogenDOI

Safe Deep Reinforcement Learning for Hydrogen-Blended Integrated Electricity-Gas Systems with Wind Power and Stochastic EV Load

Lixin Tan, Xian Zhang, Yidian Zhu +2

This study develops a safe deep reinforcement learning (DRL) scheme for online operational decision-making in hydrogen-blended integrated electricity-gas systems with wind power and stochastic EV loads. The problem is formulated as a constr…

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Peer-reviewed🇨🇳 ChinaJournalInternational Journal of Hydrogen Energy2026#HydrogenDOI

Refined modeling of on-site hydrogen refueling stations for low-carbon coordinated operation with power distribution network

Liangce He, Xianzhuo Meng, Zhigang Lu +1

This study proposes a refined model for on-site hydrogen refueling stations to achieve low-carbon coordinated operation with power distribution networks. The integrated management of hydrogen and electricity promotes renewable energy utiliz…

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Peer-reviewedJournalEnergy Conversion and Management X2026#HydrogenDOI

Innovations for scalable green hydrogen systems: a review

Alkhawlani Q.

This review examines innovations required to make green hydrogen systems scalable, covering advancements in production, storage, and distribution, and discusses challenges and prospects for industrialization.

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Peer-reviewedJournalScience and Technology for Energy Transition2026#HydrogenDOI

Pattern Formation in Underground Hydrogen Storage and In-situ Biomethanation

N. Eddaoui, Cyprien Soulaine, Said Aniss +1

Underground bio-methanation converts surplus renewable electricity into hydrogen, stores it with CO2 in geological formations, and produces methane via bacteria. However, self-organizing patterns cause spatial heterogeneity, reducing gas qu…

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