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 14621–14640 of 34637 papers
Khaydarov NK
This paper develops the ICGBA conceptual model for green bonds in Uzbekistan's cotton processing. Using AHP/BWM, it prioritizes eligible expenditure categories (water efficiency 0.42, energy efficiency/renewables 0.37, certification 0.21) a…
Islam MS, Sarkar J
This paper proposes Eco-ITAD, an automated system for hardware diagnostics that translates metrics like CPU utilization and drive wear into Scope 3 carbon avoidance using UK DEFRA guidelines. It integrates data sanitization and PDF report g…
Louzada RO, Silva RHd, Correia SAC +6
This study demonstrates that ignoring spatial autocorrelation in validation inflates apparent accuracy of UAV-LiDAR and machine-learning carbon stock models. Testing 98 scenario-response combinations in a Brazilian savanna, single-partition…
Rogissart, Simon, De La Cruz, Ruben
This dataset systematically records non-price criteria used in prequalification and award phases for European offshore wind auctions from 2005 to 2028. It includes a codebook, verbatim criteria descriptions, and numerical values, enabling c…
Vourdoubas John
Floating solar photovoltaics (FPV) is an emerging technology installed on water bodies, not yet deployed in Greece. This study applies a PESTEL analysis to assess the political, economic, social, technological, environmental, and legal fact…
DA SILVA, Ana Paula Felismino
This paper examines the role of auditors in ensuring the reliability of ESG information and reducing greenwashing risks. Through a literature review and analysis of standards (ISSB, IAASB, GRI, etc.), it discusses audit procedures, internal…
Suryawinata, Bonny, Darmadi, Herru, Mansuan, Melki
This systematic literature review (47 papers, 2019-2025) examines generative design (GD) for optimizing building energy, daylighting, and thermal comfort. Rhino/Grasshopper with multi-objective genetic algorithms dominate (87.2%), while gen…
Hiremath, Prakul
This paper presents CCTS-745, the first standardized facility-level research dataset for India's Carbon Credit Trading Scheme (CCTS), consolidating 745 facilities across 9 sectors from official notifications. It includes baseline emissions,…
Belay Sitotaw Goshu, Muhammad Ridwan
This study assesses Ethiopia's climate mitigation under the CRGE framework (2010-2023). Renewables (mainly hydropower) and afforestation achieved 34,006 tCO₂ reductions, but GDP growth drove emissions up 196%. Decoupling analysis shows full…
Feiyu Cai, Jing Qiu, Yi Yang +4
This paper proposes a proactive spatial-temporal carbon response framework combining deep learning and LLM-based multi-agent systems to accurately forecast day-ahead nodal carbon intensity (NCI). It integrates geographically dispatchable lo…
Zhong Lei, Wang Xiaobo
This dataset records experimental results on molten metal-catalyzed methane pyrolysis for hydrogen production, including key performance indicators under various operating conditions. It helps analyze effects of temperature, flow rate, and …
Chenyu Wang
This study proposes an intelligent energy management method for electricity-hydrogen-thermal integrated systems using reward-driven adaptive reinforcement learning. It contributes to optimizing system efficiency and decarbonization.
shi qin qin
This paper provides a dataset of carbon emissions and absorption for 280 prefecture-level cities in China from 2003 to 2023, using the ODIAC global fossil fuel CO2 emission dataset and Chinese 30m land cover data. Carbon absorption by land …
Dakang Wang, Jiwei Shen
A global 2km×2km XCH4 dataset derived from TROPOMI using a regridding algorithm, validated against TCCON and GOSAT with high accuracy (R=0.953, bias<1.5%). Significantly improves detection of methane plumes from super-emitters like oil and …
Zhang Chang, Zhu Zixu, Zhao Long +2
This study uses LandTrendr time series analysis on GEE and Landsat data (2001-2023) to assess vegetation carbon sink dynamics in Beijing, identifying disturbance and restoration processes. It constructs a 3D evaluation system for disturbanc…
She Houde
This study develops Ru-C3N4/MnOx Z-scheme heterojunction photothermal catalysts achieving highly selective CO2 methanation. Characterization via XRD, UV-vis, and electrochemical analysis reveals that the photothermal synergistic effect enha…
Jia Di Yang, Matthew Jones, Philipp Dechent +7
This dataset evaluates cell-to-cell variability in low-cost LFP cells for off-grid storage in Sub-Saharan Africa. It combines electrochemical diagnostics and X-ray CT for 39 cells (30 fresh, 9 aged), enabling multimodal analysis linking str…
Yizhu Qiao, Xixiong Jin, Bohan A +6
This study demonstrates that increasing grain boundary density in polycrystalline Cu catalysts enhances C2+ selectivity from CO2 reduction. An optimal boundary density of 151 μm⁻¹ yields 88.06% Faradaic efficiency for C2+ products. The mech…
Tiefeng Zhang, Shengyu Xu, Shuangyu Yang
This dataset includes two years of wind power data from a 203 MW wind farm in northwestern China, corresponding real-time grid dispatch instructions, and MATLAB/Simulink simulation code for a feedback-driven sizing and constraint-aware powe…
Feng-Qin Li, Bing-Yuan Dai, Hui Xu +9
This paper reports a novel spindle-shaped Ni single-atom catalyst for efficient CO2-to-CO conversion and Zn-CO2 battery applications, using a dual-ligand strategy for morphology control. The catalyst exhibits high electrochemical performanc…
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