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 41–60 of 233 papers

Peer-reviewed🌍 GlobalJournalEnergy Reports2026#HydrogenDOI

Towards a low-carbon future: A comprehensive review of advances in hydrogen storage and export technologies for global deployment

GholamReza Aghdami, Farzin Hosseinifard, Mohsen Salimi +2

This review comprehensively covers recent advances in hydrogen storage and export technologies for global deployment toward a low-carbon future. It compares technical progress and economics of key storage methods (liquefaction, compression,…

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Peer-reviewed🌍 GlobalJournalEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects2026#HydrogenDOI

Identifying life cycle greenhouse gas emission factors for utilizing green hydrogen as fuel on marine vessels considering various shipping scenarios

Olgun Konur

This paper identifies life cycle GHG emission factors for green hydrogen as a marine fuel under various shipping scenarios. It quantifies the emission reduction potential of green hydrogen compared to conventional fuels, providing insights …

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Preprint🇪🇺 EuropeZenodo2026#HydrogenDOI

D1c.1 Safety framework for industrial 8 to 16 bar hydrogen networks

van den Noort, Albert, Dreissen, Cathelijne, Wessels, Niek +1

This report outlines a safety framework for industrial hydrogen distribution networks operating at medium-high pressure (8-16 bar). Based on two representative cases (Amsterdam port and East Groningen industrial cluster), it analyzes laws, …

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Preprint🌍 GlobalZenodo2026#HydrogenDOI

An Explainable q-Rung Orthopair Fuzzy Entropy-COPRAS Framework for Green Hydrogen Site Selection under Uncertainty

Dr.Navneet Kumar Assistant Professor, P.G. Department of Mathematics, Purnea University Purnia

This study proposes an explainable q-rung orthopair fuzzy Entropy-COPRAS framework for green hydrogen site selection under uncertainty. It considers renewable energy availability, water access, grid connectivity, and social feasibility. A b…

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🇪🇺 EuropeConference2026 22nd International Conference on the European Energy Market (EEM)2026#HydrogenDOI

Nordic Green Hydrogen: Infrastructure Decisions and Market Effects

Trygve Bondhus Often, H. Farahmand, Vegard Fjeldstad +1

This study analyzes the economic viability of large-scale green hydrogen production in the Nordic region and its interaction with future electricity market dynamics. Using scenarios up to 2050, it evaluates declining electrolyzer CAPEX and …

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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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