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 2861–2880 of 31218 papers
Ke Li, Zhen Lei, Chengshen Zhang +2
This paper proposes a 'carbon-conduction model' to quantify cascading replacements in embodied carbon assessment of building renovations. Unlike conventional methods that simply sum individual component emissions, it models the indirect, kn…
Rui Tang, Dingyao Yu, Chunjia Han +2
Using a recursively updated multi-regional CGE model (GTAP-E) with input-output derived trade shocks, this study compares unilateral border carbon adjustments, coordinated domestic pricing, and cost-equity differentiated pricing. Border-onl…
Daniel R. Oros
This paper argues emergency management must shift from crisis response toward climate-informed risk reduction by integrating adaptation and nature-based solutions (NBS). Synthesizing interdisciplinary literature and policy frameworks, it as…
Tong Li, Rajiv Pandey
This paper argues for mainstreaming nature-based solutions (NbS) in human-dominated landscapes, shifting from isolated interventions toward evidence-based landscape governance. Without an available abstract, specific findings remain limited…
Nandakumar Ravichandran, Kaleshkumar Karunanidhi, Jayaprakashvel Mani +1
This paper examines how Nature-Based Solutions (NbS) and blue economy approaches can support private-sector biodiversity conservation amid accelerating marine biodiversity loss. Using a literature synthesis, it develops a conceptual model l…
Alessio Tafone, Benjamin Kanz, Balkumar Basant Kumar Pillai +3
This study performs a comprehensive thermo-economic optimization of retrofitting an amine-based CO2 capture process onto a pulverized coal-fired power plant. It evaluates trade-offs between process design, energy penalty, and cost, offering…
Siyabonga Brighton Ndebele, Glory Makuwa, Djemima Bulanga +2
Bimetallic Zn0.75Mg0.25-MOF-74 was synthesized solvothermally using cheap terephthalic acid instead of costly DHTPA linkers, and the effects of reaction temperature (89–160 °C) and time (5–55.5 h) on structure and CO2 capture were evaluated…
Hassan Babidi Yahya
This review examines CCUS-EOR integration across technical, economic, and environmental dimensions. It covers CO2 capture, transport, and injection (with Niger Delta reservoirs), cost and revenue structures, and lessons from Weyburn-Midale,…
Sakwe Adianimovie
Activated carbons were produced from periwinkle (aquatic) and coconut (agricultural) shell waste and characterized via methylene blue adsorption tests against IUPAC pore standards. Varying activation (400–600°C) and carbonization (500–700°C…
Rajiv K. Srivastava, Yashvardhan Verma, Jayant Singh +3
This study conducts a contextually explicit cradle-to-grave LCA of CCS pathways in India, covering CO2-EOR and dedicated geological storage from coal power and refineries. Dedicated storage consistently reduces emissions, while CO2-EOR yiel…
Hannah Siewert 1994-
This qualitative study examines how durable DACCS removals can be integrated into Article 6 of the Paris Agreement and the EU compliance architecture through certification, accounting and governance. Based on literature review and nine expe…
Maëlle Nisolle, Éric Lécolier, Guillaume Pétaud +4
This work examines advanced precipitating solvent technologies for carbon capture, focusing on controlled precipitation as a design lever. By managing precipitation deliberately, the approach aims to cut regeneration energy and capture cost…
Francisco E. Hernández-Pérez, Hong G. Im
This review surveys computational modeling of multiphase flows in cryogenic carbon capture (CCC) via CO2 desublimation, covering 1D macroscopic models, Eulerian-Lagrangian/Eulerian-Eulerian CFD, pore-scale lattice Boltzmann, and molecular d…
Jiahao Zhao, Wenzhi Yue, Xinghua Hu +3
This paper builds a three-party evolutionary game model (government, ports, intermodal operators) for low-carbon direct rail-sea transshipment, treating the yard fee rate as endogenous. Below a critical yard fee threshold, carbon taxes and …
Qingbo Ning, Zhengri Cui, Sang-Hyun Yong +4
A materials study decarbonizing ultra-high-performance fiber-reinforced concrete using electric arc furnace slag and CO₂-enriched nanobubble water. It evaluates mechanical performance and microstructure, showing potential for CO₂ utilizatio…
Young Wook Ryu, Hana Kim, Wangyun Won +1
This study presents a multi-objective optimization framework for low-carbon hydrogen production via electrolysis, balancing economic viability against environmental sustainability. It evaluates cost-environment trade-offs across diverse ene…
Junteng Ma, Tiantian Xia, Haitao Wu +7
A non-precious FeP/porous carbon-sphere electrocatalyst was synthesized via hydrothermal, carbonization and phosphorization steps for the oxygen evolution reaction in water splitting. Fe,P co-doping boosts conductivity while anchored FeP na…
Maciej Mikulski, Amin Mahmoudzadeh Andwari, Jari Hyvönen
This paper synthesizes the CASEMATE modeling framework, a traceable hierarchy from fuel-flexible chemical kinetics and multi-zone combustion to 1D engine simulation, model reduction, FMU modularization, and MBSE workflows for low-carbon mar…
Mu Li, Shouyuan Wu, Yuman Song
Proposes a multi-timescale optimal dispatch framework integrating demand response and multi-energy coupling to handle source-load uncertainties in integrated energy systems. Hierarchical day-ahead, intra-day, and real-time stages boost CHP …
Yan-Ao-Ming Xi, Yun-Ze Li
This study proposes an energy-economic and low-carbon optimization strategy for a residential hot water system combining a heat pump water heater and heat storage tank under PV-plus-grid supply. A genetic algorithm minimizes energy cost wit…
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