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 17961–17980 of 36407 papers
Brito I.
This paper proposes a combined multi-criteria risk decision and rank aggregation approach that incorporates multiple risk factors, and applies it to greenhouse gas emission risk assessment of sectors. The integrated method enables comparati…
Dregulo A.M.
This study analyzes the contribution of wastewater treatment plants and landfill sludge disposal to greenhouse gas emissions, identifying these facilities as vulnerable aspects in cities' carbon neutrality targets.
Ziegler F.
This paper explores greenhouse gas emission reduction opportunities in the Norwegian salmon farming sector, examining whether reductions can outweigh growth. It assesses specific mitigation options and their potential impact on the industry…
Cellura M.
This paper assesses lifecycle greenhouse gas emissions of concentrating solar power (CSP) technologies and analyzes relevant environmental impacts. It provides crucial quantification of decarbonization effects of renewable energy technologi…
Kalaivani A.
This paper identifies key traits in rice breeding that can reduce methane emissions from paddy fields. It proposes integrating these traits into breeding programs to significantly cut greenhouse-gas emissions from rice cultivation. The find…
Cellura M.
This paper presents design studies for a net-zero energy building in Italy, combining energy efficiency measures and renewable energy to achieve zero energy balance. It provides practical insights for building designers aiming for net-zero …
Lombardi P.A.
This paper proposes a digital architecture design that uses blockchain for traceability within a Net-Zero Energy Factory, using a German carpentry as a case study. It aims to integrate energy efficiency and transparent supply chain manageme…
Rameshrao A.G.
This paper proposes a carbon-aware scheduling method for data centers that shifts workloads to align with periods of low carbon intensity, enabling progress towards net-zero operations.
Cellura M.
This paper proposes a life-cycle approach for net zero energy buildings, considering both operational and embodied energy, using an Italian case study. It evaluates the significance of embodied energy in the energy balance of buildings.
Guarino F.
This paper proposes a methodology for planning net-zero energy solar neighborhoods in the Mediterranean basin. It integrates solar power generation and energy efficiency to optimize the energy balance of the entire district. The methodology…
Leong W.Y.
This paper discusses the net zero energy revolution transforming industries and communities, but lacks specific analysis or methodology due to missing abstract.
Mori A.
This paper discusses the challenges and prospects of net-zero transitions in the energy and finance sectors, focusing on Southeast Asia and beyond. It analyzes the interplay of policy, investment, and technology, assessing transition risks …
Cellura M.
This paper analyzes different energy balances for the redesign of nearly Net Zero Energy Buildings (nZEB) through an Italian case study. It evaluates the effects of energy efficiency improvements and renewable energy integration to find opt…
Leong W.Y.
This study leverages AI to optimize renewable energy deployment and operation, proposing pathways for emission reduction. Machine learning models predict energy supply-demand and formulate cost-effective decarbonization strategies.
Si Zheng, Yifan Duan, Chao Xue +1
This paper proposes Scope3Trace, a framework that extracts Scope 3 GHG emissions from sustainability reports using LLMs with evidence grounding. It integrates PDF parsing, OCR, table reconstruction, and hybrid rule-LLM extraction to obtain …
Yunxia Wen, Pengxing Jiang, Mingxing Zhou +12
This paper presents a microwave-responsive amine sorbent with pulsed microwave regeneration (AS-MR) achieving full regeneration within 2 seconds. The system reaches ultra-low energy duty of 1.21 MJ·kg⁻¹ CO₂ for a full adsorption-desorption …
Chao Guo, Ya Yuan, Y. Zheng +2
This paper uses an integrated AHP-SWOT analysis to evaluate the strategic transition of traditional oil and gas companies to fusion energy in China. It provides insights into the feasibility and strategic priorities for decarbonizing the fo…
Zia Ur Rahman, Bartosz Jóźwik, Robert Szwed
This study analyzes the effect of fossil fuel share in electricity generation and energy-related climate mitigation technologies on CO2 emissions in China, US, India, and Russia from 1990-2023. Using an extended STIRPAT framework, it consid…
Nan Zhang, Jing Tang, Junyi Yang +4
This study estimates carbon emissions from China's livestock sector (2001-2022) using IPCC methodology and spatial-temporal analysis. It finds fluctuating total emissions with high concentration in central and southwestern regions, weak dec…
Xinyu Tang, Mingzhu Tang, Na Li +1
This paper proposes ConvTimeXer, a hybrid model combining bidirectional temporal convolution and TimeXer for carbon price forecasting. Experiments on China's carbon market data over three years demonstrate high accuracy and robustness, effe…
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