GX Research Hub · English
GX & Decarbonization Research
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.
Peer-reviewedJournalPetroleum Science2026#CCUSDOI
An integrated deep learning framework for full-cycle CCUS-EOR evaluation and optimization under carbon neutrality
Shen B.
This paper proposes an integrated deep learning framework for evaluating and optimizing the full cycle of CCUS-EOR (Carbon Capture, Utilization, and Storage with Enhanced Oil Recovery) under carbon neutrality goals. The deep learning approa…
Peer-reviewedJournalProcess Safety and Environmental Protection2025#CCUSDOI
Integrated decarbonization system for ethane cracking: Carbon capture, CO2 hydrogenation, solar-powered water electrolysis and methanol to olefins
Sun R.
This paper proposes an integrated decarbonization system for ethane cracking, combining carbon capture, CO2 hydrogenation, solar-powered water electrolysis, and methanol-to-olefins conversion to reduce emissions in the petrochemical sector.
Peer-reviewedJournalEnergy and Fuels2026#CCUSDOI
Thermophysical Properties of a CCUS Candidate Fluid
Ahmadi P.
This paper investigates the thermophysical properties of a candidate fluid for carbon capture, utilization, and storage (CCUS). It provides data on density, viscosity, thermal conductivity, etc., essential for designing CCUS systems.
Peer-reviewedJournalDiscover Sustainability2025#HydrogenDOI
Green hydrogen development in Iran: a SWOT analysis of challenges and opportunities focusing on renewable energy resources
Abdoos M.
This paper conducts a SWOT analysis of green hydrogen development in Iran, focusing on renewable energy resources. It identifies challenges and opportunities for leveraging Iran's abundant solar and wind resources for hydrogen production.
Peer-reviewedJournalEnergy Reviews2025#HydrogenDOI
Opportunities and challenges of latent thermal energy usage in the hydrogen economy
Opolot M.
This paper examines the opportunities and challenges of utilizing latent thermal energy in the hydrogen economy. It explores how heat generated at various stages (production, storage, transport, use) can improve overall energy efficiency, w…
Peer-reviewedJournalIEEE Access2023#CCUSDOI
Low-Carbon Economic Dispatch of Integrated Electricity-Gas Energy System Considering Carbon Capture, Utilization and Storage
Liu X.
This paper formulates a low-carbon economic dispatch problem for an integrated electricity-gas energy system with carbon capture, utilization and storage (CCUS). It proposes an optimization method that balances system cost and emission redu…
Peer-reviewedJournalSouth African Journal of Industrial Engineering2025#HydrogenDOI
A Conceptual System Dynamics Model of Green Hydrogen Development in Indonesia’s Energy Transition
Pratama D.R.C.
This paper presents a conceptual system dynamics model for green hydrogen development in Indonesia's energy transition. The model captures interactions between technology, policy, and market factors to analyze hydrogen deployment pathways. …
Peer-reviewedJournalCommunications Earth and Environment2022#HydrogenDOI
Climate benefit of a future hydrogen economy
Hauglustaine D.
This paper assesses the net climate benefit of a future hydrogen economy, considering production pathways and leakage effects. It highlights the need for policy support for green hydrogen to maximize decarbonization.
Peer-reviewedJournalJournal of Petroleum Exploration and Production Technology2025#CCUSDOI
Predicting viscosity of CO2–CH4 binary mixtures using robust white-box machine learning frameworks: implication for carbon capture, utilization, and storage
Alatefi S.
This paper presents robust white-box machine learning frameworks to predict the viscosity of CO2–CH4 binary mixtures with high accuracy, supporting CCUS process design and optimization, particularly for CO2 transport and storage efficiency.
Peer-reviewedCNJournalSouthern Energy Construction2023#CCUSDOI
Development of CCUS Technology in the Context of Carbon Neutrality and Assessment of the Potential for Offshore Storage in Guangdong Province
Luo H.
This paper addresses the development of CCUS technology in the context of carbon neutrality and assesses the offshore storage potential in Guangdong Province, China. It identifies suitable sea areas for CO2 storage based on geological chara…
Peer-reviewedCNJournalEarth S Future2025#CCUSDOI
Spatial Heterogeneity of Plant-Level CCUS Investment Decisions in China's Cement Industry Under Various Policy Incentives
Mao Y.
This study analyzes plant-level CCUS investment decisions in China's cement industry, evaluating how various policy incentives and spatial heterogeneity affect adoption and scale. It highlights the need for region-specific policy design.
Peer-reviewedJournalEnergy Nexus2022#HydrogenDOI
The hydrogen economy - Where is the water?
Woods P.
The hydrogen economy requires vast amounts of water, especially for electrolysis. This paper highlights water resource constraints as a critical challenge for scaling green hydrogen, noting that water scarcity could become a severe issue in…
Peer-reviewedJournalProcesses2026#CCUSDOI
Study on Cement Carbonation Resistance and Reinforcement in CCUS-EOR
Cao Y.
This study investigates cement carbonation resistance and reinforcement in CCUS-EOR contexts, aiming to improve cement durability under CO2-rich conditions for enhanced oil recovery.
Peer-reviewedJournalHydrogen Switzerland2023#CCUSDOI
LCA Analysis Decarbonisation Potential of Aluminium Primary Production by Applying Hydrogen and CCUS Technologies
Peppas A.
This study applies LCA to assess decarbonisation potential of aluminium primary production using hydrogen and CCUS technologies. It quantifies GHG reduction from switching from coal-based processes to hydrogen and carbon capture routes.
Peer-reviewedJournalPetroleum Exploration and Development2023#CCUSDOI
Carbon emission reduction accounting method for a CCUS-EOR project
WANG F.
This paper proposes a carbon emission reduction accounting method for CCUS-EOR projects, detailing quantification of net reductions including capture, transport, injection, storage, and avoided emissions from enhanced oil recovery.
Peer-reviewedJournalUnnes Law Journal2024#CCUSDOI
A Normative Anaylisis on the Implementation of Carbon Capture and Storage in order to Achieve Net Zero Emission in Indonesia
Mayaka R.B.
This paper provides a normative analysis of the implementation of carbon capture and storage (CCS) to achieve net zero emissions in Indonesia. It examines legal and policy frameworks and challenges for deployment.
Peer-reviewedJournalRenewable Energy2025#CCUSDOI
Evaluation of regional and temporal dynamics in CCUS-hydrogen development policy pathways: A data-driven framework
Song C.
This paper proposes a data-driven framework to evaluate regional and temporal dynamics in CCUS-hydrogen development policy pathways. It quantitatively analyzes policy effectiveness and identifies optimal deployment strategies across regions…
Peer-reviewedCNJournalResources Science2024#CCUSDOI
Comprehensive benefit prediction of carbon capture, utilization, and storage investment in coal-fired power plants in China
Zhou X.
This study comprehensively predicts the economic, environmental, and social benefits of CCUS investment in Chinese coal-fired power plants, offering insights for investment optimization and policy-making.
Peer-reviewedJournalSustainable Cities and Society2024#CCUSDOI
Promoting the sustainable development of CCUS projects: A multi-source data-driven location decision optimization framework
Zhou J.
This paper proposes a multi-source data-driven framework for optimizing the location decisions of CCUS projects. It integrates diverse datasets and machine learning to identify optimal sites considering economic, environmental, and social f…
Peer-reviewedCNJournalApplied Energy2022#CCUSDOI
The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China
Xiao K.
This study uses an SD-CGE model to analyze the effects of combining CCUS and renewable energy penetration on China's carbon peak target. The simulation results suggest that the combination of these technologies is effective in achieving pea…