This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.
Showing 621–640 of 1616 papers
P. Lezhniuk, M. Belik, O. Rubanenko +1
This paper proposes a mathematical model to quantitatively assess the share of renewable electricity used for hydrogen production in an integrated energy system. Using a matrix method to compute power flows, it identifies contributions from…
A. Falces, P. Lara-Santillán, E. Zorzano-Alba +3
This paper presents an educational laboratory platform for renewable energy integration using green hydrogen, focusing on PEM fuel cell conversion. Designed for undergraduate electrical engineering students, it offers low-cost, safe, and sc…
Jian Liu, Jingyuan Zhang, Rui Feng +1
This systematic review of 149 papers examines dynamic safety risk assessment methods for green hydrogen production via water electrolysis under renewable energy fluctuations. It traces the methodological evolution from static analysis to re…
Lei Cheng, Jonathan P. Braaten, Bjoern Marcel Stuehmeier +2
This paper establishes a correlation between accelerated stress tests (ASTs) and real-world dynamic operation for PEM electrolyzer MEA degradation using extensive electrochemical and physical characterization. By comparing degradation patte…
Bingqing Chen, I. Batalov, Qiu Chen +2
This paper proposes a machine learning framework using an encoder-decoder transformer to virtually characterize PEM electrolyzers during operation. The model reconstructs polarization curves from operational data, enabling real-time health …
Samuel W. Heath, Vinn Nguyen, Benjamin Zeng +2
This study presents a design framework for reducing the levelized cost of green hydrogen (LCOH) through stack and balance-of-plant (BoP) innovation. It analyzes two strategies—power reduction and capital cost reduction—and evaluates trade-o…
M. R. L., Krishna Brinda Kanumilli
This study assesses the combined effects of India's PAT energy efficiency program and National Green Hydrogen Mission (NGHM) for industrial decarbonization. Results show green hydrogen provides 42% of cumulative abatement potential, while P…
Eleni Himona, Andreas Poullikkas
This study develops a dynamic multi-objective optimization framework for hydrogen FCEVs vs. diesel, petrol, and battery EVs, assessing TCO and WTW emissions from 2026-2060. FCEVs face a high entry barrier in 2026 (TCO ~€275,000) but become …
Takaya Ochiai, Atsushi Unemoto, Andrew Belletti +1
This study develops a PEM water electrolysis cell using the PFAS-free hydrocarbon membrane Pemion®, achieving a cell voltage of 1.72 V at 3.0 A/cm² and 80°C (86% efficiency), with only 1.5% degradation after 1500 hours of continuous operati…
Yunpeng Jiang, Chenhui Lin, Guannan Wu +1
This paper proposes a low-carbon scheduling model for integrated electricity-hydrogen-gas systems, considering line-pack effects of natural gas pipelines and hydrogen tank-truck transport. The model enhances operational flexibility and redu…
Zhiyuan Xie, Ricardo Fernandes, Gorm Bruun Andresen
This paper extends the open-source PyPSA-Eur model with country-level carbon constraints to simulate European energy transition pathways from 2025 to 2050 under three carbon budgets. It finds that internal drivers (e.g., electrolyzer costs)…
Cătălina Dobre, Mihaela Constantin
This review consolidates studies on hydrogen-enriched natural gas (H2NG) in CHP systems, finding that 5-20% hydrogen improves efficiency and reduces CO2 but increases NOx. It examines mitigation strategies like lean-burn and hybrid renewabl…
Bianchi, Marco
This dataset provides numerical results from a study on value-chain vulnerability in green hydrogen production. It quantifies vulnerability indicators at three aggregation levels: product, stage, and system. The structured data enables deta…
Dr.Navneet Kumar Assistant Professor, P.G. Department of Mathematics, Purnea University Purnia
This paper proposes an explainable q-rung orthopair fuzzy Entropy-COPRAS framework for green hydrogen site selection under uncertainty. It integrates multiple criteria including renewable energy, water, grid, demand, land use, ecological ri…
Kazadi I.T.
This review summarizes recent advances and key challenges in materials development for the hydrogen economy, covering production, storage, and utilization. It highlights the role of materials innovation in enabling cost-effective and scalab…
Palmer O.
This paper analyzes how classification rules and subsidies for green and low-carbon hydrogen affect asset sizing and energy sourcing in electrolytic hydrogen production, highlighting the direct link between policy design and project economi…
Gado M.G.
This study evaluates the techno-economic and environmental feasibility of green hydrogen production in several Middle Eastern countries. It analyzes production costs, energy requirements, and greenhouse gas emissions across different scenar…
Minggu L.J.
This paper presents photoelectrochemical technology for solar fuel production, focusing on green hydrogen generation, carbon dioxide capture, and ammonia synthesis. It explores the potential of using renewable energy for chemical production…
Zhu B.
This paper analyzes policy portfolios shaping hydrogen production pathways and regional deployment in China. It examines how different policies (incentives, regulations) influence the development of hydrogen supply chains, including green a…
Daniel Baggen, Niklas Fritz, Tianlong B. Albert +1
This paper proposes a highly integrated DC-DC converter that eliminates output current ripple for green hydrogen production, aiming to improve efficiency and system reliability.
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