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 14441–14460 of 19291 papers
Nebi Seren
This study examines strategic marketing narratives in decarbonization by analyzing sustainability reports of eight automotive and IT companies in Europe and the US (2020-2024). European firms emphasize regulatory compliance and long-term co…
Madalina Ana BURDUJA, Dorel Mihai PARASCHIV
This study introduces the AI-Enhanced Decarbonisation Model (AEDM), integrating AI with behavioral and welfare economics for adaptive climate policy. Simulations in Massachusetts and Seoul show that AI-driven policy feedback outperforms sta…
A. Kolienko, Olena Gupalo, R. Akhmednabiev
This paper examines the synergistic effect of combining secondary energy resource utilization (e.g., waste heat, byproduct fuels) with hydrogen technology to reduce the carbon footprint of industrial thermal units. It evaluates technical sy…
Honglong Deng, Ru Zhang, Qichao Hu +3
This study quantifies the carbon footprint of a bridge in Tanzania using life-cycle assessment. The production stage accounts for 87% of total emissions, with cement and reinforcing steel as main contributors. It proposes reduction measures…
Ruibo Fan, Kai Feng, Tiankai Zhang +3
This paper proposes a paradigm for a green power supply system driven by renewable energy to support the blue economy's shift to distant-ocean operations. It integrates flexible perovskite solar cells, triboelectric nanogenerator-supercapac…
Chao Wu, Grayson Badgley, Michael L. Goulden +10
This paper argues that current forest carbon protocols fail to adequately account for climate-driven carbon loss risks, potentially leading to overestimation of carbon credits and undermining climate mitigation efforts.
Alexander R. Keeley, Andrew J. Chapman, Sunbin Yoo +5
This paper presents life cycle insights into direct air capture and utilization (DACU) systems and surveys public willingness to adopt them. It suggests DACU is a promising scalable carbon removal solution from both technical and social acc…
Bugra Arda Zincir, Burak Zincir, Yasin Arslanoğlu
This study evaluates various carbon capture technologies for shipboard applications using multi-criteria decision analysis. It compares factors such as efficiency, cost, and feasibility to identify optimal solutions for maritime decarboniza…
Yun Liu, Fangxuan Pei, Ziyu Chen +2
This paper proposes a privacy-preserving joint carbon reduction and emission allowance trading (JCREAT) scheme that integrates secure multi-party computation (SMPC) with primal-dual gradient algorithm to address data security and inflexible…
Haiyi Wan, Haotian Guan, Junqi Qiu +4
This study synthesizes highly dispersed vanadium nitride (VN) nanoparticles on porous carbon, using low-valent transformation to significantly enhance the hydrogen storage performance of magnesium hydride (MgH2). The composite material lowe…
Qinglan Luo, Xinyu Liu
This study analyzes the employment impacts of China's low-carbon power transition, focusing on how different technology pathways affect job quantity and quality. Using an inter-sectoral flow model, it segments supply chains and differentiat…
Mohammad Hosein Abbasi, Muhammad Waseem Ahmad, Badr Abdullah +2
This paper conducts a life cycle sustainability assessment of low-carbon heating technologies in the built environment, analyzing environmental and social impacts. The findings inform energy transition policies and building regulations.
Liangliang SUN, Xingguo Tan, Chaomeng LI
This paper proposes an ordered charging scheduling strategy for electric vehicles (EVs) to improve wind power accommodation. It establishes a charging load model, develops a TOU price strategy based on wind power output, and incorporates ca…
Yanlin Li, Zhigang Lu, Shixing Ding +3
This paper proposes a low-carbon energy system planning method that integrates multi-regional atmospheric carbon concentration and meteorological probability fluctuations. It incorporates climate uncertainty to derive more realistic decarbo…
Yunlong Lv, Min Liu, Qiao-Chu Wang +3
This study evaluates 44 low-carbon technologies for primary copper production in China, identifying optimal technology packages and adoption pathways. Key findings: molten-salt heat storage exchange shows high mitigation potential and econo…
Bin Ye, Hongjiang Pu, Jingjing Jiang +2
This paper proposes an evaluation framework for low-carbon energy transition of energy-intensive enterprises in China’s electric-carbon market, and discusses development strategies based on the framework.
Zhitong Chen, Haipeng Nan, Fuqi Ma +4
This paper proposes a bi-level optimization model incorporating adaptive carbon price and low-carbon demand response to achieve low-carbon dispatch of integrated energy systems. It balances emission reduction and economic efficiency, valida…
Juejing Fang, Xin Lyu, Ke Yang +3
This study explores low-carbon backfill and carbon sequestration using coal-based solid waste, proposing innovative strategies under China's carbon neutrality framework. It aims to simultaneously achieve waste management and CO2 reduction, …
Xiaohui Xie
This paper proposes a carbon emission modeling framework based on graph neural networks. It constructs a heterogeneous graph with production equipment, energy consumption units, and emission factors as nodes, using multi-scale graph convolu…
Yiting Chen
This paper identifies the lack of an independent carbon dimension in ESG evaluation systems under China's carbon neutrality targets. Through a bibliometric analysis of Web of Science and CNKI publications, it maps the research shift from ge…
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