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 141–160 of 26205 papers
Li, Songyi, Ding, Jiaxin, Liu, Zuming +1
This work releases data and code for co-optimizing coupled electricity and CO2 systems to support decarbonization of China's power sector. It provides a reproducible modeling foundation that jointly handles generation mix and carbon constra…
Houtian Tang, Peng Cheng, Ke Liu +3
Using panel data for 110 cities in China's Yangtze River Economic Belt (2010-2023), this study applies two-way fixed-effects, mediation, and spatial Durbin models to test whether new urbanization (NU) drives green and low-carbon transformat…
Chenxi Zhang, Fei Wei
This paper proposes interfacial reaction network engineering (IRNE) to design oxide-zeolite interfaces for direct CO2 hydrogenation into full-composition e-SAF. Kiloton-scale validation shows high CO2 conversion, high C8+ selectivity, low m…
Tong Liu, Rongrong Li, Qiang Wang
Using a 61-country panel (2000-2023) with fixed-effects, quantile, threshold, and panel VAR models, this study examines how climate risk affects renewable energy development. Climate risk generally inhibits deployment, but effects are asymm…
Yujie Xu, Chengfeng Zhang, Xianrong Zhang +5
Three coupling schemes for a thermal power plant with molten-salt heat storage (TPP-MSHSS) are designed and analyzed for deep peak shaving under high renewable penetration. A bi-level optimization combined strategy is proposed: scheme R3 ac…
Jiaxuan Li, Yanlai Zhou, Chenyun Yang +2
This study proposes a hierarchical control framework for reserve storage capacity (RSC) in pumped-storage power stations to balance hydropower benefit and residual load fluctuation (RLF) under high renewable penetration. Applied to the Heim…
Guangcheng Ma, Liming Ge, Xiangjie Xie
This study evaluates how China's emissions trading scheme (ETS) affects integrated carbon and pollution reduction across the full process. ETS adoption lowers carbon intensity, industrial SO2 intensity, PM2.5, and wastewater discharge while…
Yiyang Luo, Jiameng Ren, Ruichen Wang +4
This study applies a swarm intelligence–optimized Random Forest within an extended STIRPAT framework to attribute provincial carbon-emission drivers across 30 Chinese provinces using 12 indicators. The AOA-selected model achieved R²=0.9784,…
Xuan A.
This work proposes a bi-level optimization model for retrofit planning of integrated electricity and natural gas systems that incorporates Carbon Capture, Utilization and Storage (CCUS). The hierarchical structure separates upper- and lower…
Khan M.I.
A SWOT analysis of the hydrogen economy in GCC countries, assessing current status, challenges, and prospects. It evaluates how oil-producing states can leverage hydrogen exports for sustainable development, with implications for import-dep…
Al Amosh H.
This study examines how repeat ties between green bond issuers and external reviewers affect the independence and credibility of verification. It probes the risk of reviewer 'capture' and its implications for market governance and greenwash…
Xu S.
This paper examines uniform versus differentiated carbon tax designs applied to digital-intelligent authorized remanufacturing. It likely models how carbon pricing shapes remanufacturing incentives and circular-economy outcomes. It sits at …
Dong-Wei Zhao, Zhi Zhou, Daniel Boff +1
This paper addresses the optimal design of 24/7 hybrid-resource power purchase agreements (PPAs), combining solar, wind, and storage to match carbon-free electricity on an hourly basis. It contributes an optimization framework for structuri…
Wen-Guang Liu, Sheng-Li Wang
Using Chinese A-share firms (2012–2024), this study finds that stronger ESG performance increases foreign shareholding. The effect operates mainly through improved disclosure quality and internal control, and is stronger for non-state-owned…
L. Bartolucci, E. Cennamo, S. Cordiner +5
This paper presents a fleet-level optimization tool that jointly determines BEV configuration, fleet size, charging infrastructure, and charging schedules for logistics operators. Comparing cost-minimizing and CO2-minimizing scenarios, the …
Oliver Disney, Mikael Johansson, Per Höglin +2
This mixed-methods study examines how Total BIM—where BIM replaces drawings as the legally binding information source—enabled reuse and climate-informed decision-making in a Swedish renovation and adaptive reuse project. Combining BIM-deriv…
Yu-Lin Dai, Yuan-Rui Li, Hui-Jun Zhou
A time-varying weighted network model with load–capacity constraints and cascading degradation is built for Asia–Europe container shipping under Red Sea–Suez disruption. Under full corridor loss, service level Q falls to 0.827 while the lar…
K. Bartowitz, Janice M. Parks, D. Berardi +11
A systematic review of ~200 experimental studies assesses GHG outcomes of climate-smart land management. Annual crop practices like reduced tillage and organic amendments show consistent mitigation, while chemical fertilizers and residue re…
M. Qamruzzaman, Abdulrahman Alomair, M. Alomair +1
This study uses Bayesian models (linear, heteroskedastic, multilevel, dynamic PVAR) to assess how policy uncertainty, green finance, green innovation, and environmental policy stringency shape the sustainable energy mix across OECD economie…
Xing-Lei Zhao, Chen-Jun Ning, Wen-Qi Fan +4
A MOS sensor array combined with 1D-CNN and Bi-GRU deep learning was developed to classify and quantify small-molecule organic amines (MEA, MDEA, AMP) used in CO2 capture. Five-fold cross-validation yielded 0.9969 classification accuracy an…
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