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 261–280 of 3713 papers
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…
Jens Malmodin, Dag Lundén
Based on a large primary dataset from telecom operators, this report estimates electricity consumption and operational carbon emissions of ICT networks (fixed and mobile) for 2010, 2013, and 2015. In 2015, electricity use was 242 TWh (1.15%…
Charlotte Freitag, Mike Berners-Lee, Kelly Widdicks +3
This paper critiques peer-reviewed estimates of ICT's GHG emissions, suggesting the actual share could be 2.1%-3.9% after adjusting for supply chain truncation. It identifies three reasons emissions will likely rise without intervention and…
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…
Tim Kemperdick
This dissertation provides a techno-economic and environmental assessment of zero-emission freight transport technologies, covering external costs, retrofitting, fuel cell recycling, and charging infrastructure. It identifies key factors su…
Felix Assies, Lars Wietschel, A. Kamal Kamali +4
This paper discusses the importance of contemporary and dynamic life cycle inventory (LCI) databases for the German electricity sector. With the increasing share of renewables, static data becomes inaccurate, and the use of time-series data…
Zbigniew Klimont, C. Heyes, Peter Rafaj +12
This dataset provides global gridded anthropogenic emissions of air pollutants and methane from 1990 to 2050, developed with the GAINS model at IIASA. It includes three scenarios: current legislation (CLE), maximum technical reduction (MTFR…
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…
Gabriel Osei Forkuo
This paper presents a multi-country meta-analysis of fuel and carbon intensity in cut-to-length harvesting, offering a decarbonisation roadmap. It quantifies emission reduction potentials through machinery efficiency improvements and altern…
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…
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