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 201–220 of 3641 papers
Stuart White, Cliff Shelton
This paper argues that inhalational anaesthetic agents, particularly desflurane, have high global warming potentials and contribute significantly to healthcare's carbon footprint. Citing IPCC urgency, the authors advocate phasing out these …
Izuru Takewaki, Zheng Lu, Salman Azhar +4
This editorial introduces a research topic on integrating BIM, digital twins, and metaverse technologies in construction. It emphasizes sustainability, resilience, safety, and productivity, with applications in carbon reduction and circular…
Li Lingyan<sup>1,2</sup>, Wang Mengmeng<sup>1,2</sup>, Xia Haoming<sup>1,2</sup>, Duan Mimi<sup>1,2</sup>
This study assesses the vulnerability of rural households' clean energy transition in ecologically fragile areas of Northwest China, analyzing influencing factors. It reveals vulnerability patterns among low-income households passively part…
Xue Dongliang, Rongjin Xu
This paper reports an efficient construction method for replacing conductors with carbon fiber ones on the 500kV Jiangjin/Jiangling transmission line, using a tension-stringing all-in-one machine as the main traction equipment. Carbon fiber…
Zhang, Yi, Fan, Ying, Xia, Yan +1
This study empirically analyzes the structural changes in energy demand during economic growth from a final demand perspective, finding a U-shaped relationship. It emphasizes the importance of demand-side energy conservation and emission re…
Zhang Xin
This paper estimates CO2 emissions from final energy consumption in 30 Chinese provinces from 2000 to 2015, analyzing regional characteristics and spatiotemporal differences. It examines driving factors from both emission volume and intensi…
Li Xuemei<sup>1,2</sup>, Zhang Qing<sup>3</sup>
This study estimates carbon emissions in Tianjin from 2000 to 2016 and uses the LMDI model to analyze driving factors. It finds that economic scale promotes emissions while energy intensity inhibits them, and explores future reduction pathw…
Mu Jiawei
This study measures agricultural low-carbon productivity in 42 counties of the Tarim River Basin, Xinjiang, from 2000 to 2020 using a super-efficiency SBM model with undesirable outputs. It reveals spatiotemporal clustering and trends, offe…
Zhang Enyue, Zheng Junyan, SU Yingqing +4
Focusing on the Fen River Basin, this study uses the FLUS-MCR model and carbon budget coefficient method to simulate five land-use scenarios for 2030, including low-carbon and economic development priorities. It finds that the low-carbon pr…
Yang Juxing, Sun Hui, Zhou Jinnan +2
This study measures the transformation decarbonization level of China's resource-based cities from 2006 to 2021, using spatial Markov chains and fsQCA to analyze spatiotemporal evolution and pathway choices. Results show rising decarbonizat…
Chen Xiaohong, Cao Liaoying, Jiaolong Chen +3
This paper examines the growing electricity consumption from computing power development in China and strategies for green and low-carbon transition. It highlights the challenge of balancing data center energy demand with emission reduction…
Caixia Shi
This study measures green development efficiency of 58 cities in the Yellow River Basin from 2005 to 2020 using the EBM-GML model, and explores improvement pathways via HP filter and spatiotemporal interaction methods. It provides insights …
OPTIMIZATION AND THERMAL ANALYSIS OF SUPERCRITICAL CARBON DIOXIDE BRAYTON CYCLE SYSTEM WITH ORGANIC RANKINE CYCLE
LI, Jinming, Chen, Dr. Kang, Tang, Prof. Chuntao +2
This study optimizes a combined supercritical CO2 Brayton cycle with an organic Rankine cycle, demonstrating improved thermal efficiency and compactness for waste heat recovery and solar thermal applications. Parameter optimization reveals …
Adnan Yousaf, Safeer Ullah, Jianping Wu +2
This study examines the role of the building industry in climate change mitigation through a comparative analysis of China, Malaysia, South Africa, and Peru. Based on questionnaire data from engineering professionals, thematic analysis reve…
Lizhan, Hong, Helin, Gong, Hongjun, Ji +4
This study enhances the accuracy and efficiency of a reactor operation digital twin (RODT) for optimizing near-carbon-free nuclear energy systems. It addresses non-differentiabilities and discontinuities from machine-learning-based surrogat…
Bartosz Sobik
This paper empirically analyzes the merit-order dynamics of Polish coal, lignite, and gas units during the 2021-2023 European energy crisis. It decomposes short-run marginal costs into fuel, transport, and EU ETS components, showing that ga…
Li Lanchun, Lanchun Li
This paper analyzes the strategic importance of nuclear fusion for carbon neutrality, comparing development strategies and technical roadmaps of the US, UK, Germany, Japan, and others. It highlights how government funding drives private inv…
Utaki T.
This paper reports on the development of coal mine methane (CMM) concentration technology aimed at reducing greenhouse gas emissions. By capturing and concentrating methane emitted from coal mines, the technology prevents its release into t…
M. Laurin
This thesis develops an integrated framework for low-carbon transport transitions, considering multi-scale (urban, national, global) and cross-sectoral interactions, and soft-linking energy systems optimization models with stakeholder engag…
Ruixi Zhao, Canyan Yang, Zhi Zheng +10
This study develops hierarchical core-shell electrodes of hollow carbon nanotubes and MnO2 nanosheets via a proton-coupled self-templating hollowing-growth strategy. The architecture enhances charge transfer and ion transport, achieving hig…
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