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 12241–12260 of 17702 papers
Yin Yang
This paper analyzes the unique trajectory of China's REITs (C-REITs) market, which prioritizes strategic infrastructure over commercial real estate. Using a framework of 'State-Led Infrastructure Financialization', it argues that C-REITs re…
Yakoub Laidani, Youness Bouri, Fares Si Tayeb +2
This paper proposes a new energy-efficient process for CO2 capture from flue gases and biogas using physical absorption in cross-flow hollow fiber membrane contactors at atmospheric pressure. The membrane-based absorption reduces energy con…
Ramzi Dhahri, M.K.M. Ali, Hasan B. Albargi +1
This review comprehensively addresses material degradation in carbon capture and storage (CCS) systems. Focusing on solvent chemistry and corrosion mechanisms, it provides insights into improving materials reliability. The paper organizes k…
Anna Littlefield, Alexis Navarre-Sitchler, Joel Moore
This paper proposes statistical methods to quantify risk using geochemical monitoring data from carbon capture and storage (CCS) projects. It aims to assess CO2 leakage risk and enhance storage safety.
Ramnarong Wanison, Ar Man, Wahyu Nurkholis Hadi Syahputra +3
This review analyzes CO2 transport modes (pipelines, shipping, rail, truck) for CCUS, focusing on technical performance, economic feasibility, and infrastructure. Pipelines are most cost-effective for large-scale continuous transport; shipp…
Yikun Su, Zhongjie Sun, Junhao Liu +1
This paper develops and validates an effectiveness evaluation scale for low-carbon construction technologies in building engineering, using multi-stage empirical evidence. The scale aims to quantify carbon emission reduction effects in cons…
Dimitrios Nikolis, Sumathy Raman, Steven Pyl +1
This paper reports on Fe/Co/Ni catalysts supported on low-surface-area carbon spheres for methane pyrolysis in a bubbling fluidized bed. The shedding pyrolytic carbon enhances abrasion, maintaining catalyst activity for turquoise hydrogen p…
Hailong Wang, Marcis Jansons, Xubin Song
Proposes range-extended electric trucks using low carbon intensity biofuels to achieve carbon circulation. Combines EV technology with biofuels to decarbonize the transport sector.
Joshua Aboah, Derek Chan, Sirak Bahta +3
This study uses a system dynamics model to estimate carbon footprints and economic trade-offs in Mongolia's cashmere value chain. It finds that electricity use in dehairing is the largest GHG contributor, followed by transportation. Banning…
Chenchen Wang, Laijun Zhao, George N. Papageorgiou +2
This study analyzes the driving factors and peak pathways for production-based embodied carbon emissions from China's light industry international trade. It contributes to understanding supply chain emissions and offers insights for climate…
Rocio Diaz-Chavez, Yara Evans
This deliverable examines EU policy areas related to SDG7 targets using a novel gender analysis methodology for energy transition. Based on the Gendered Innovation model co-developed by Stanford University and the European Commission, it pr…
Enrico Nocentini
This doctoral thesis develops a consumption-based environmental accounting framework for Italy, estimating an average lifestyle carbon footprint of 8.3 t CO2e/capita. Food, housing, and mobility dominate emissions. Decarbonization scenarios…
Olha Rozghon
This article analyzes the integration of smart grids and renewable energy sources in Ukraine's automotive sector within the context of the country's energy transition. It discusses the role of electric vehicles as active nodes in the energy…
João Chaib, Christianne Corsini, Michael Davies +6
This study pilots a vulnerability-based avoided deforestation methodology for smallholder-led forest conservation in a Brazilian quilombo territory. Using a dynamic baseline and livelihood vulnerability indexes, it estimates annual creditab…
P. N. Bahl, V Kiran Kumar, Divya Tuteja
This study analyzes the impact of environmental taxes and policy stringency on renewable energy consumption in India (2000-2022) using ARDL models. Results show both instruments positively affect renewable energy, while policy uncertainty h…
Max Nutz, Johannes Schmidt
This paper presents the development of PyPSA-AT, an open-source, sector-coupled energy system model for Austria within a European multi-regional context. It uses open data and is integrated into the pypsa-ecosystem, enabling reproducible en…
Usman Tasuev, Polina Tregubova, Svetlana Illarionova +3
This study combines machine learning with remote sensing to estimate forest carbon stocks with high accuracy. XGBoost achieved MAPE 0.37 and R² 0.68 for carbon stock. A geospatial mapping tool incorporating uncertainty quantification suppor…
Catarina Jorge, Rita Salgado Brito, Maria do Céu Almeida
This paper presents a regulatory-aligned framework for energy assessment of wastewater collection networks under the EU UWWTD 2024/3019. Using Portuguese data, it analyzes energy intensity, pumping shares, excess volumes, and GHG emissions.…
Valentina de Maack, Sandy Tubeuf, Nathalie Clavel +4
Healthcare decarbonization faces tensions between environmental goals and core clinical priorities. Using a Real-time Delphi with 14 experts, this study finds that energy and infrastructure interventions are high-impact but constrained by r…
Olena Korvat
This paper systematically examines the theoretical framework of state incentives for renewable energy development. Analyzing over 30 studies, it provides classification of incentives, risks, and legislative improvements, proposing enhanced …
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