This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 201–220 of 229 papers
Wang N.
This paper analyzes failures in CCUS pilot and demonstration projects over the past three decades, identifying technical, economic, and policy barriers. It synthesizes lessons learned to guide future large-scale deployment.
Ma J.
This perspective paper discusses the application of artificial intelligence to carbon capture, utilization, and storage (CCUS) in the petrochemical industry. It explores how AI can optimize CCUS processes and enhance efficiency.
Ou X.
This study conducts a life-cycle analysis of a gas-to-liquid fuel pathway using steel mill off-gas in China via the LanzaTech process, evaluating energy use and GHG emissions. It benchmarks against conventional fuels, highlighting the decar…
Kamal Hosen, A. Bărbulescu
This comprehensive review examines mitigation technologies for environmental and health impacts from cement production, including CCUS, biomass/waste-derived fuels, noise barriers, soil remediation, and water treatment (ZLD). It identifies …
Becattini, Viola, Riboldi, Luca, Burger, Johannes +10
This paper presents the design and techno-economic-environmental analysis of four pioneering CCUS chains, capturing CO2 from inland European industrial plants and transporting it to Northern European ports. The chains can avoid 65-87% of in…
Natalia Belkin, Josh Steinberg, Amit Dan Grossman +2
This paper introduces Microalgae Carbon Fixation and Sinking (MCFS), a novel marine CDR methodology that uses a tailored substrate to promote phytoplankton growth, followed by rapid sinking to the deep ocean for durable carbon sequestration…
P. Kirmizakis, P. Soupios, C. Benetatos +6
This study demonstrates the feasibility of Controlled Source Electromagnetic (CSEM) methods for monitoring subsurface CO2 plumes in a CCS project in North Dakota, USA. Surface log-scale resolution was achieved, accurately delineating plume …
Adamu Kimayim Gaduwang, Bassam Tawabini, Nasiru Salahu Muhammed
This review assesses electrofuels for decarbonizing hard-to-abate sectors (steel, chemicals, etc.) where electrification and direct hydrogen use are challenging. It analyzes production processes, energy demands, economics, and lifecycle GHG…
Antonio Barchi, Marco Illich, Laura Rondi
This paper analyzes the IEA CCUS projects database (1990-2023) to examine why certain countries attract more projects, why projects concentrate in oil & gas, agrochemicals, and materials sectors, and how organizational choices affect deploy…
Qihan Wang, Zhili Wang
This study optimizes membrane-based carbon capture for coal-fired power plants, reducing energy consumption from 3.2 to 2.1 GJ/t CO2 while maintaining >90% capture rate. Using an improved CENTURY model, it shows that geological storage/vege…
Ilayda Akkor, Shachit S. Iyer, John Dowdle +2
This paper conducts epistemic uncertainty analysis and robust optimization for a second-generation solvent-based post-combustion carbon capture process (PZ/AFS). Sensitivity and Pedigree analyses identify key uncertainties, leading to a 12-…
S. Bhagat, N. Garad, .P.S Jejurkar +2
This paper provides an overview of Carbon Capture and Storage (CCS) principles, including pre/post-combustion and oxy-fuel capture methods, and storage options like depleted reservoirs and saline aquifers. It discusses technological, econom…
M. Alwerfali, F. Faraji, Mardin Abdalqadir +1
Accurate viscosity prediction of CO2-N2 mixtures is vital for CCUS processes but costly experiments and inaccurate conventional models hinder rapid decision-making. This study developed and benchmarked nine ML models (GB, XGBoost, LightGBM,…
H. Yangthong, Phakamat Lim‐arun, Siriwan Jansinak +10
This review comprehensively compares CO2 capture technologies, focusing on polymer-based adsorbents, covering thermodynamics, computer modeling, and applications. It finds adsorption promising for long-term protection against pollutants and…
P. Saini, U. Biradar, K. Sonawane +4
This paper provides a comprehensive overview of AI-driven digital innovations in CCUS, including real-time monitoring, fiber-optic sensing, and advanced analytics. These technologies enable dynamic alerts, predictive maintenance, and enhanc…
Karan Sotoodeh
This review focuses on failure analysis and prevention methods to improve safety and reliability in hazardous direct air capture (DAC) plants. It covers common failure modes and mitigation strategies, providing insights for safe operation, …
Abdul'Aziz Aliyu, Keith Burnard
This conference summary reports on the 8th Post Combustion Capture Conference, covering advances in CCUS, DAC, and BECCS. With 115 oral presentations and 26 posters from 240 delegates across 24 countries, it highlights R&D, operational insi…
Guanchu Lu, Tianhao Li, Qun Li +5
This review categorizes integrated carbon capture and utilization (ICCU) by C1 and C2+ products, linking catalytic strategies to industrial commodities. It evaluates ICCU's potential to overcome high costs and complexity of traditional CCUS…
Julia Piotrowska, Michael Harasek, Katharina Bica‐Schröder
This review summarizes recent progress in ionic liquid (IL)-modified polymer membranes for CO2 separation, addressing the selectivity-permeability trade-off and plasticization. It covers polymerized ILs, mixed matrix membranes, and hollow f…
Yasin Khalili, Saeed Abassi, Mohammadreza Bagheri
This review provides an integrated evaluation of gas-based EOR techniques including CO2 flooding, hydrocarbon gas injection, N2 injection, and flue-gas injection. CO2 flooding offers superior recovery (10-20% incremental) and aligns with CC…
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