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 12601–12620 of 17780 papers
Cui J.
This study proposes optimal planning and operation of battery energy storage systems (BESS) under corporate power purchase agreements (PPA) with business continuity planning (BCP) considerations. It develops an optimization model that balan…
Fang S.
This paper reviews the development frontier and predicts trends in carbon capture technology (CCS/CCUS). It provides an overview of recent research progress and future directions.
Xia W.
This paper proposes a KAN-LSTM hybrid neural network for accurate oil production forecasting in CCUS-EOR systems. The method outperforms traditional approaches, supporting economic evaluation and operational optimization of CCUS projects.
Hamidova L.
This paper examines opportunities for hydrogen production in Azerbaijan and steps towards transitioning to a hydrogen economy, highlighting hydrogen's role in decarbonization and energy transition.
Liu E.
This systematic review examines the current status, progress, and challenges of Carbon Capture, Utilization and Storage (CCUS), offering insights for technology deployment and policy design in decarbonization.
Sultan N.S.
This review comprehensively examines recent approaches, challenges, and future prospects of carbon dioxide capture, utilization, and storage (CCUS) toward a carbon-free world. It discusses the role of CCUS in decarbonization and outlines ke…
Ali A.
This study synthesizes nutrient-doped fast-weathering silicate minerals and uses machine learning to model their weathering process for carbon capture, utilization, and sequestration (CCUS), aiming to enhance the efficiency of carbon remova…
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…
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.
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.
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.
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…
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…
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. …
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.
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.
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…
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.
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…
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.
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