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.
Showing 41–60 of 1309 papers
Xinyang Song, Wei Han, ZePeng Han +1
This paper proposes a chemical-autothermal gas-based direct reduction method for low-carbon ironmaking, aiming to reduce CO2 emissions by regulating the composition of the reducing gas. Without an abstract, details are unclear, but it likel…
Yuechao Chao, Junwei Liu, Zhihua Zhou +8
This paper presents a solar-driven adsorption film that passively dehumidifies indoor air and produces freshwater. It reduces relative humidity from 90.7% to 21.6% in one hour and generates ~1.1 kg/m2/day of freshwater. Global projections s…
Yongquan Zhang, Xinyue Hao, Weimin Guo +3
This study proposes incorporating recycled coarse aggregate to improve the performance of low-carbon ultra-high-performance concrete (UHPC). It investigates the effects of recycled aggregate type, particle size, and content on workability a…
mohamed kamal arafa elrakhawi
This paper analyzes decarbonization pathways combining hydrogen and CCS for Europe's 2050 climate neutrality target, assessing costs, deployment barriers, and policy frameworks. It quantifies synergies between the two technologies and offer…
Ivan Savin (5189054), Mateo López Carel, Eva Schlindwein
Using computational linguistics on 1,477 ESG reports from STOXX Europe 600, this study identifies 34 main topics (six environmental). It finds that topics like sustainable value chains and renewable energy correlate with improved environmen…
John Carter
This framework proposes a systematic, asset-preserving transition for hydrocarbon companies to convert existing pipelines, wells, and storage facilities into clean energy networks via four parallel tracks: geothermal conversion, hydrogen/bi…
Mengxi Xie
This dissertation combines machine learning (NLP) with econometrics to empirically analyze environmental policies. The first three studies examine the EU's Carbon Border Adjustment Mechanism (CBAM) via meta-analysis, US equity market reacti…
Aminimehr A, Hellinckx P, Tabari H
This study evaluates compound renewable energy droughts (simultaneous low wind and solar output) under 1.5°C, 2.0°C, and 3.0°C global warming levels using CMIP6 models. Drought intensity, duration, and frequency increase with warming, with …
GALVEZ PRP
This study proposes a Life Cycle Assessment framework to transform TBM tunnel spoils from waste into carbon-negative assets through circular valorization. Results show 25-40% carbon reduction versus landfilling, and a net-negative balance o…
Wang Y, Duan D, Zhang X +11
This study proposes a new paradigm of sunlight-concentrated photocatalysis to overcome the physical limit of low solar energy density for hydrogen production. By focusing dispersed sunlight into a compact reactor, the system achieves indust…
Wu M, Su B, Liu J +7
This study maps global utility-scale PV plants at 10-m resolution using Sentinel-2 imagery and deep learning, then quantifies the spatial mismatch with electricity demand. It finds ~82% of global demand in provinces below IEA thresholds, hi…
Zhaoxia Wu, Xinyu Zeng
This paper uses a quasi-natural experiment of China's green loan interest subsidy policy (GLIS) to examine its impact on corporate ESG greenwashing. Using a multi-period difference-in-differences model on Chinese listed firms from 2009-2022…
Aanu Loveday Solomon
This paper presents a comparative macroeconomic analysis of decarbonizing industrial heat versus electrical grids. Grid decarbonization requires massive upfront capital but yields predictable long-term returns due to falling LCOE. Industria…
Zahra Barbari, Saleh S. Meibodi, Jinoop Arackal Narayanan +3
This paper critically reviews safety assessment and control strategies for ammonia storage and handling in maritime decarbonisation via a PRISMA-informed synthesis. It identifies limitations in conventional methods (HAZID, QRA) for ammonia-…
Ahmed G. Abo-Khalil
This paper proposes a unified framework integrating AI-driven renewable forecasting, grid economics, and lifecycle assessment. Using deep learning, it reduces prediction errors by 50% and operational costs by 18.7%. The study includes AI en…
Yunwei Guo, Yuechen Chen, Jun Ren +2
This paper systematically analyzes the development status, practical cases, policy framework, and technical bottlenecks of industrial and commercial energy storage systems, focusing on optimal configuration strategies, economic evaluation m…
Cristián Flores Fernández, B. Walker
This article analyzes the green hydrogen hype in Chile's Magallanes region, using the concepts of growth machine and fictitious capital. It finds that actor coalitions drive the hype to secure investment and delay feasible alternatives, hig…
Hordvei E.
This paper estimates the upper bound costs of realizing Europe's green hydrogen ambitions, highlighting economic challenges in transitioning from policy to practice and providing realistic cost assessments.
H. Niazi, Kamran Taghizad-Tavana, A. Esmaeel Nezhad +3
This review provides a structured discussion on green hydrogen supply chain, integrated multi-energy systems, policy comparison across EU, US, China, Japan, and India, market structure, large-scale projects, and the role of AI. AI applicati…
R. Ashok, T. G. Sakthivel
This review evaluates waste-derived electrocatalysts for green hydrogen production via water electrolysis, emphasizing standardized benchmarking and techno-economic analysis. While laboratory results show promising performance (HER overpote…
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