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 2881–2900 of 4154 papers
Kloesel K.
This paper argues that achieving net-zero requires a narrative shift from solely focusing on emission reductions to integrating carbon removal (CDR, CCUS). It contends that the current reduction-centric narrative is insufficient and calls f…
Azimi A.
This prospective life cycle assessment compares decarbonization pathways for steelmaking and finds that direct reduced iron (DRI) is the most sustainable route to net-zero. Hydrogen-based DRI can significantly reduce greenhouse gas emission…
Shavel I.
This paper provides a comparative analysis of multiple deep decarbonization studies of the US electric system. It examines differences in assumptions, methodologies, and results across models, offering insights for policymakers and future r…
Yingxu Wu, Yanmei Liu, Di Qi
Seaweed farming is promoted for climate mitigation via carbon sequestration, but it poses risks like eutrophication and acidification in semi-enclosed coastal areas. This review synthesizes both benefits and risks, emphasizing the need for …
Niklas Stolz, Benedict Probst
This paper analyzes how value is captured in carbon crediting projects worldwide, identifying key beneficiaries and implications for carbon market integrity.
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…
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