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 81–100 of 11816 papers
Stefania Bempeli, Marina Micari
This study presents a superstructure model for membrane-based carbon capture, enabling flexible design and global optimization of multi-stage systems. It compares commercial polymeric membranes (Polaris, PolyActive) on technical and economi…
Emil Skov Martinsen, Lars Schwarzer, Sten Frandsen +6
This paper presents a stochastic grey-box model for a solvent-based carbon capture pilot plant. The model integrates physical principles with data-driven approaches to capture uncertainty. Validation using plant data demonstrates its effect…
Lenny Hidayat, Michael Timothy Tasliman, M.Ilham Ramadhan +1
This study evaluates the policy and regulatory readiness of industrial CCS in Indonesia using eight indicators. While Presidential Regulation 14/2024 establishes a legal foundation, fragmented authority, unclear long-term liability, and lac…
Haizhou Lin, Qi Liu, Zheng Yang +7
This review summarizes amine degradation mechanisms in post-combustion CO2 capture, including oxidative and thermal degradation, and their impact on capture efficiency and operational costs. It compares solvent reclaiming technologies such …
(著者不明)
This article discusses the potential of using waste materials for carbon capture. While specific methods or results are not provided, it suggests a direction integrating circular economy and carbon capture.
Houkun Zhu, Bin Meng, Jing Zhao +9
This paper reports a one-step synthesis method for high surface area N-doped activated carbon for low-temperature removal of H2S from blast furnace gas. The optimized synthesis enables more efficient H2S removal, potentially contributing to…
Silvia Moreno, Alejandro Aragón-García, A.L. Villanueva Perales +2
This study develops a multi-objective optimization framework for a low-carbon hydrogen supply system in Galicia, Spain. Results show that meeting 100% of projected 2030 demand yields a solution dominated by biomass gasification, while at 60…
Adrian R. Irhamna, Burcu Beykal, George M. Bollas
This paper presents an integrated geospatial-technoeconomic optimization framework for siting modular blue and green hydrogen production units co-located with hydrogen refueling stations (HRS) along U.S. highways, with a case study on New E…
Songli Fan, Guodong Xu, Zhengtian Wu +4
This paper proposes a bilevel optimization model for low-carbon operation of park-level integrated energy systems, incorporating heterogeneous user preferences. It aims to balance user satisfaction and carbon reduction goals in energy syste…
A. Kumar, Amit Kumar, Saurav Saha +12
A six-year field experiment in the Eastern Himalayas demonstrates that optimizing ginger seed-rhizome size (50g), mother-rhizome management (non-removal), and cushioning with leaf mulch can increase yield, energy-use efficiency, and soil he…
Heenkenda Mudalige Dileepa Sandaruwan Heenkenda, Hye-Min Park
This paper examines how carbon-aligned fuel pricing in Sri Lanka can reconcile fiscal resilience with low-carbon energy goals. It analyzes policy design challenges and opportunities, offering insights for developing countries implementing c…
Li Yang, Ji Ma, Zhaopeng Li
This study analyzes how uniform and differential carbon taxes drive the transformation of energy structure from high-carbon to low-carbon. It compares the effectiveness of the two tax designs and provides insights for carbon pricing policy.
Fei Wang, Lei Jiao, Konglin Zhu +4
This paper addresses scheduling of cloud-edge federated learning under carbon neutrality constraints, incorporating demand response. It proposes methods to optimize the trade-off between learning performance and carbon emissions reduction.
Danyang Cui, Lena Max, Cecilia Boström +1
This study evaluates rare-earth substitution in EV traction motors via life cycle assessment, comparing NdFeB and ferrite motors. It identifies a break-even electricity carbon intensity of ~60 g CO₂-eq/kWh, where below this threshold, the h…
Mykhailo Prazian
This paper explores how digital technologies, including AI and IoT, can be integrated into supply chains to reduce Scope 3 emissions and enhance cyber-physical resilience. It highlights the potential for improved emissions visibility and ri…
Sherif Attallah, Jennifer Warrner
This study assesses the power and water demand of hyperscale data centers in the US Midwest, focusing on Indiana. It finds that a single campus can add tens of TWh of electricity demand, with water impacts heavily dependent on cooling techn…
Amit Jhalani, Raj Kumar, Arpit Kumar Sharma +1
This critical review assesses the environmental footprint of meat production across the entire supply chain, from feed production to distribution. It identifies significant GHG emissions (CO2, CH4, N2O) at each stage, along with land, water…
Agostina Quicchi, Gerardo Szwarc, Jorge Vega +2
This study analyzes the environmental impact of installing a 100-panel 160W photovoltaic system over parking spaces at a sorghum stubble pellet production company. Results show a 51% reduction in CO₂ equivalent emissions from electricity co…
Omotayo E. Ojewumi, Gang Chen, Modupe E. Ojewumi
Biochar, produced from biomass pyrolysis, offers applications in carbon sequestration, soil improvement, and waste management. Recent research highlights both benefits (soil structure, nutrient retention) and risks (PAH formation, heavy met…
Hamid Safarzadeh, Francesco Di Maria
This study examines nanomaterial-based energy storage to accelerate Italy's renewable transition. Graphene and solid-state batteries offer high performance, but face cost and policy hurdles. AI-driven design and circular economy models pres…
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