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 801–820 of 37113 papers
Swarnamanjari Sahoo, Y N Raju, Prajukta Tripathy +2
Using 1998–2022 panel data for BRICS, the study applies CS-ARDL to test how public–private partnership (PPP) energy investment shapes energy consumption. PPP investment and technological innovation significantly raise renewable shares and c…
Wenxing Jin, Lijun Fu, Li Ning Sun
Proposes a data-driven method to decouple dispatchable operating regions in off-grid power-to-ammonia systems. Aims to balance variable renewable input with stable ammonia synthesis operation. Details limited as no abstract was available.
Ruiyi Cao, Minggao Xue, Xinyu Hao +3
Firm-level study of China's Low-Carbon City pilots examining whether firms pursue selective or comprehensive emission reduction. It compares policy effects on firm behavior and the design of local climate policy. Details unavailable as no a…
Benedict Afful, Kassim Alabani
Using a 47-country panel (2005–2024) with fixed effects, System GMM and panel quantile regression, the paper tests whether national innovation capacity accelerates decoupling of growth from CO₂ emissions. Innovation aids decoupling but nonl…
S. V. S. Sai Krishna, A. Bhuvana Chandra, K. Srinivasarao +2
A study mapping India's wind and solar potential through spatial optimization to chart a decarbonization pathway to 2050. Given the National Remote Sensing Centre affiliation, it likely uses geospatial/satellite data for siting suitability.…
Brownell, Huntley, Oehmcke, Stefan, Nord-Larsen, Thomas +1
Deep learning applied to 3D point clouds produced high-resolution time-series maps of forest biomass and canopy height for Denmark (2014–2024). Comparison with forest inventory shows the maps enable national estimates of aboveground carbon …
OGIRIKI, Shadrach, Udebhulu, Okhiria, ABDULKADIR, MUKHTAR
A mechanism-resolved framework estimates CO2 storage capacity in depleted reservoirs by treating structural, residual, and dissolved trapping as mutually exclusive, avoiding double counting. Coupling a reduced-order pressure model with well…
Malikowska-Kosińska, Julia, Wejrzanowski, Tomasz, Taşğın, Baran +11
Experimental dataset supporting a study on solid-state hydrogen storage in atomized TiTaNbZr high-entropy alloy powder. It includes XRD patterns, TGA, particle size distribution, and hydrogen absorption measurements. Provides reproducible m…
Bousbia Laiche, Rabia
This dataset accompanies a linear-programming optimization study of green hydrogen as a strategic lever for Algeria's energy transition. It provides CSV transcriptions of published scenario results, technology parameters, electricity demand…
Shubham Soni
Using Indian annual data (1990–2023), this study applies an ARDL framework to test short- and long-run links between FDI and renewable energy consumption. FDI shows a positive, significant short-run effect (β=0.609) but an insignificant lon…
yun-long-zhang, yunlongzhang-9
A MILP model jointly optimizing energy-efficiency retrofits, biomass co-firing, and carbon capture across China's 1,885 coal units under carbon pricing. It derives marginal abatement cost curves, decomposes technology interactions, and runs…
Aasfor, Tony
This study integrates the ESG framework (CSRD/ESRS) with information-security regulation (NIS2, DORA, GDPR, eIDAS2) as a single plane of risk governance. It develops the Strategic Stability Index (SSI.), a 0–100 composite of security maturi…
Davies, Joseph
Nigeria mandates IFRS S1/S2 for all public interest entities from 2028. Using a 15-indicator index (max 45), the study scores 11 listed and OTC oil & gas entities, ranging from 86.7% (Seplat Energy) to 8.9%; upstream averages 60.0%, downstr…
FJCU IsLab
A source-code package for TCFD-related analysis programs, including sample program purpose, parameters, and operation steps. It bundles six project folders covering reference implementations such as anomaly detection and feature-file search…
(著者不明)
Proposes a modular, solvent-free solid-sorbent reactor that sequentially handles direct air capture and flue gas decarbonization. Modularity aims to improve deployment flexibility and scalability. Detailed findings unavailable as no abstrac…
Andrew Marian Zajch, Yohei Yamaguchi, Keita Shono +3
This paper argues that vernacular local energy factors (VLEF) impede generalizable local-level building energy estimation. It highlights how locally specific factors complicate scaling and comparison of building energy models for decarboniz…
Hwang Y.
This work appears to address risk-aware planning for corporate renewable electricity procurement under hourly (24/7) matching. It likely offers a framework for optimizing procurement portfolios while accounting for price and supply variabil…
Saxena A.
A review of technological advancements and strategic approaches in carbon capture, utilization, and storage (CCUS). It surveys capture innovations and the strategic frameworks needed for deployment. Without an abstract, specifics are unveri…
Martins P.H.d.S.
This study assesses Brazil's emerging green hydrogen industry using an input–output approach to gauge macroeconomic viability. It quantifies spillover and feasibility effects of building a hydrogen sector. It offers a structural-economy len…
Subbarao S.
This work integrates halloysite nanotubes into pressure-swing adsorption (PSA) carbon capture systems to boost capture efficiency. It pairs the material design with AI-driven predictive maintenance and automation for stable, efficient opera…
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