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 3001–3020 of 27325 papers
A.K. Sethi, Yogesh Shrivastava, Om Vikash
A techno-economic assessment of a pilot-scale CCU plant coupled to industrial flue gas. It estimates capex/opex, levelized cost of CO2 capture, IRR, NPV and payback under varying conditions, finding capture carries high energy penalties whi…
Ahmed Elsayed
This work applies machine learning to optimize a process that revitalizes desalination waste (brine) through carbon capture and mineralization. It targets simultaneous waste management and CO2 fixation, using ML to tune operating conditions…
Zhuoshu Bai, Yang Yang, Yahui Yang +5
This review synthesizes the interfacial science, electrolyte design, and catalyst engineering underlying amine-mediated reactive carbon capture (RCC), which couples CO2 capture with electrochemical conversion to avoid energy-intensive therm…
Feiwei Li, Dexing Sun, Junwei Zhang +3
This study proposes FMM, combining multi-objective ant-lion optimization with a multi-head self-attention deep neural network, to solve low-carbon economic dispatch in power systems. On IEEE 118- and 300-bus systems it cuts CO2 emissions by…
Yi Gao, Haiming Wang, Dongwu Chang +1
This study integrates process simulation, techno-economic analysis, and LCA to show that the equivalence ratio (ER) governs energy penalty, carbon footprint, and economics in plasma reforming of refuse-derived fuel (RDF) to low-carbon hydro…
Xiaoyu Chen, Xuexue Wu, Haohan Wang
Using 2003–2024 panel data from 30 Chinese provinces, this study treats National Ecological Civilization Demonstration Zones (ECDZ) as a quasi-natural experiment and estimates effects on agricultural carbon emission intensity (ACEI) via dou…
Xihao Zeng, Ming Ji, Zhiming Mo +2
Using panel data from 285 Chinese cities (2003-2020), this study finds the Low-Carbon City Pilot policy significantly improves residents' health (coefficient 0.0375). Effects operate through dual pathways: reducing pollutant emissions and g…
Renee Elizabeth Carver Miller
This study tested industrial wastes (FGD ash, fly ashes, paper recycling waste) as supplementary cementitious materials in belitic calcium sulfoaluminate cement (BCSA) to cut embodied CO2 while maintaining performance. FGD waste ash perform…
Stefania Mattea, Nicola McDonald
This study examines demand-side drivers for low-carbon concrete adoption in construction. It argues that provenance transparency, third-party certification, and cultural legitimacy are decisive for uptake, shifting attention from supply-sid…
Yuhan Zhou, Huijin Xu, Maoyuan Sun +7
This study proposes a Social-Cognitive Navigation Framework (SCNF) using historical AIS trajectories and online sensor data to improve autonomous ship safety and efficiency. Integrating a Recursive Hypergraph Transformer, Level-k reasoning,…
María Castrillo Melguizo, Jaime Iglesias Blanco, Judith Sáinz-Pardo Díaz +1
Wattnet is an open-source tool that jointly assesses the carbon and water footprints of electricity consumption across Europe at 15-minute resolution, tracing cross-border flows. Comparing generation-based and consumption-based footprints f…
Huajun Chen, Xiaoye Wang, Lina Yuan +1
This study reconfigures 6G integrated sensing base stations into dual-mode power-information supply nodes with sleep capability to address energy and carbon bottlenecks in the low-altitude economy. A time-energy-carbon coupling model (TEC-6…
Siwoong Kim, Sanggyu Kang
This study evaluates life-cycle and carbon-cost trade-offs across configuration and operation choices of a solid oxide fuel cell (SOFC) integrated hybrid desiccant cooling trigeneration system. No abstract was available, but the work appear…
Bin Xu, Jian Zhao, Yibo Ding +3
Proposes a peer-to-peer trading mechanism for microgrids with heterogeneous energy sources that explicitly embeds carbon responsibility into each transaction. By attributing emissions within the trading design, it aims to balance fairness a…
Qingbao Kong, Dong Tang, 彭怡瑄
Using the staggered rollout of China's ETS pilots as a quasi-natural experiment across 30 provinces (2007–2024), this study finds a significant positive effect on carbon emission efficiency (ATT=0.065), driven by reduced energy intensity (A…
Maria TANAKA
This study examines how green finance and investment drive the energy transition, using Kazakhstan's renewable energy sector as a case. It highlights the role and constraints of transition capital in an emerging, resource-dependent economy …
shihui miao, Liu Hongxun
This paper applies machine learning to examine the reliability of ESG disclosure and the misallocation of green finance. It quantitatively tests how disclosure reliability affects the proper allocation of green capital, contributing to dete…
Milena Otavová, Jana Gláserová
Analyzes the quality and quantity of sustainability reporting by Czech firms in chemical, energy, automotive, and agro-industry sectors from 2017-2024 under NFRD/CSRD. Reporting improved across all sectors, with energy and automotive growin…
Kiril Luchkov
This study assesses the digital maturity of ESG reporting and develops the Digital ESG Reporting Maturity Index (DERMI), covering five dimensions: format and machine readability, ESRS structuring, quantitative disclosure, targets, and trace…
Samuel O. Okozi1*, Peter C. Ibeh1, Ernest O. Ezugwu2, Maryrose O. Abba3, Sunday Chukwujindu4
This study quantified annual CO₂ emissions from diesel generators at the Federal University of Technology, Owerri (FUTO), Nigeria, using the IPCC fuel consumption-based emission factor method (2.68 kg CO₂/L). Annual diesel consumption of 58…
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