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 141–160 of 3139 papers
Thomas Williams, Cara Wilson, Peter Wynn +1
This paper reviews the potential of precision livestock management (PLM) technologies in extensive livestock systems to adapt to climate change and reduce GHG emissions. Technologies like GPS, walk-over-weigh, and satellite imagery can impr…
Simon Glöser‐Chahoud, Matthias Pfaff, Frank Schultmann
This paper quantitatively assesses the relationship between product lifetime and GHG emissions for refrigerators and mobile phones. Using dynamic material flow analysis (MFA) linked with life cycle inventory (LCI) data, it simulates scenari…
Kaewunruen, Sakdirat, Qin, Xia, Cvetkovska, Meri +4
This study analyzes technical barriers to circular economy adoption in the building sector via a multi-region survey (n=270) and literature review. It identifies interoperability of tools/data, documentation/traceability, and capability gap…
Ebbe Kyhl Gøtske
This PhD thesis uses techno-economic optimization to analyze a future sector-coupled European energy system, focusing on storage technology competitiveness, climate change impacts, and robustness to weather variability and gas supply disrup…
Claire Morgan‐Davies, N.R. Lambe, John P. Holland +2
This paper presents a digital vision for rangeland grazing systems, centered on the SRUC Kirkton & Auchtertyre research farm in Scotland. It leverages IoT sensors and digital twin concepts to integrate environmental management with livestoc…
Karthik Raghunathan, Pattrapun Wongsripuemtet, Atílio Barbeito +7
Using nationwide VHA data, this study shows that telemedicine for preoperative evaluation quadrupled during the pandemic, cutting travel-related CO2 emissions by nearly 50% without compromising safety or efficiency, even among older adults …
Yihua Li
This dissertation applies real options analysis to clean energy investment under uncertainty. It examines optimal timing for cellulosic biofuel facilities, the value of dual sourcing under supply risk, and the impact of policy uncertainty o…
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 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…
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…
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…
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