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 1–20 of 2481 papers
Lu L.
A study examining the collaborative benefits and optimization of a CCUS-hydrogen coupling system that incorporates hydrogen storage scheduling. It appears to focus on improving the design and operational efficiency of integrated CCUS-H2 dec…
Zhang H.
A comparative analysis of CCUS regulatory frameworks across Europe, China and the Middle East. It maps differences in legal and policy design and highlights institutional gaps shaping CCUS deployment. The study suggests how divergent region…
Humza Bin Navaid, Bassel Eissa, Athar Hussain +2
CCS deployment is constrained by capital intensity, fragmented regulation, and the lack of standardized site-evaluation frameworks. This discussion paper proposes a decision-oriented appraisal methodology for pilot-scale CCS, distinguishing…
Hai-Zhu Wang, Yao-Chen Zhang, Bin Wang +4
This paper addresses cost reduction in CCUS by examining fit-for-purpose CO2 conditioning (impurity removal, pressure adjustment) and source–sink coordination between emitters and storage/utilization sites. It frames cost efficiency as a sy…
Maëlle Nisolle, Éric Lécolier, Guillaume Pétaud +4
This work examines the absorption and precipitation kinetics and mechanisms of precipitating solvents for CO2 capture. Such solvents promise lower regeneration energy than conventional amine systems. It offers mechanistic insight relevant t…
G. Komitov, P. Dobreva, V. Georgiev +1
This study builds a dynamic mathematical model of a CO2-capturing bioreactor linking biomass growth, dissolved CO2, and pH, with growth rate depending on CO2 availability and pH. Implemented in Scilab/Xcos, a PID feedback strategy regulates…
Maghraby ME, Ghallab AO, Abdelmonem NM +1
The study synthesizes cyanuric chloride-based polymer and polymer-derived porous carbon, optimizing KOH activation temperature (600–900°C) and ratio (1:1–4:1). The best sample (PPC-900-1) achieves 1969 m²/g surface area, 1.85 mmol/g CO₂ upt…
Liang Y.
Proposes a hybrid optimization approach combining quantum annealing and Stackelberg game theory for scheduling CCUS-integrated microgrids. It models hierarchical decision-making among stakeholders and tackles combinatorial optimization via …
Fang S.
This work formulates oilfield power system scheduling that incorporates CCUS using cooperative game theory. It proposes a framework where coordinated operation among power sources and CCUS facilities balances system cost and carbon emission…
Pu Y.
This study proposes an economic low-carbon scheduling model for manufacturers participating in capacity bidding programs while incorporating CCUS. It jointly optimizes production scheduling, power-market bidding, and carbon capture utilizat…
Zhi-Qiang Li, Ming Gao, Hong-Wei Yu +5
This review examines the dynamic evolution of minimum miscibility pressure (MMP) in CO2–crude oil systems, a key criterion for CO2 flooding that combines enhanced oil recovery with geological carbon storage. It surveys experimental protocol…
Xintao Dong, Yindong Song, 姚寿广 +2
A thermodynamic and economic analysis of a methanol-fueled SOFC/GT/SCO2/ORC ship power system integrated with hollow fiber membrane carbon capture. It evaluates system efficiency and cost viability of an integrated design for maritime decar…
Asmau Iyabo Balogun, Haylay Tsegab Gebretsadik, Abdullateef Oluwagbemiga Balogun +4
A systematic review of AI applications across carbon capture, utilisation and storage, mapping methods, datasets, evaluation practices and deployment readiness. It clarifies where machine learning can improve CCUS efficiency and monitoring,…
Chenggang Jin, Ming‐Jie Yin, Wen-Hai Zhang +6
This study proposes a polyamide membrane modified via dual-step Co2+ treatment to achieve preferential N2 transport. By tuning membrane chemistry, it aims to improve CO2/N2 separation for energy-efficient carbon capture. The work highlights…
Maxine Yew, Yuting Zhao, Yanhong Guo +4
This work reports a microfluidic synthesis route to highly monodispersed core/shell microcapsules encapsulating nanoplatelets for carbon capture. It is a materials-engineering contribution relevant to CCUS sorbent and capsule design. No abs…
Zhang Yx, Yang Wu, Xianghang Chen +4
This study elucidates the nucleation and growth mechanisms of amine aerosols, a major secondary-pollutant issue hindering large-scale amine-based carbon capture. Using molecular dynamics, quantum chemistry, and FTIR experiments, it shows nu…
Ebtehal Alasade
This essay reviews how microalgae can biologically capture CO2 as an alternative to economically burdensome CCS. Algae fix atmospheric CO2 via photosynthesis into biomass at rates well above conventional plant systems, yielding feedstock fo…
Lütz, Luna, Neuwirth, Marius, Fleiter, Tobias
A results dataset from a multimodal mixed-integer linear optimization of CO₂ transport for the North Rhine-Westphalia industrial cluster, routing captured CO₂ to geological storage at least cost via pipeline, rail, truck, inland barge and t…
Fuhrman, Jay, Fritzeen, Wade, O'Rourke, Patrick +5
This study extends the GCAM integrated assessment model to separate cement and clinker production and endogenize clinker substitutes (GBFS, fly ash, LC3). Across scenarios, CCS plays only a limited role in cement decarbonization even when a…
Alexander, Kling, Holtz, Georg
Uses ITOM-Cement, a bottom-up optimization model covering site-level clinker kilns to regional milling, to assess EU27+UK cement decarbonization pathways. It highlights three cross-sector dependencies—steel slag as SCM, competition with pet…
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