GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Energy Transition (clear)

Showing 281–300 of 5759 papers

Peer-reviewed🇺🇸 USAConference17th AIAA Aviation Technology Integration and Operations Conference 20172017#Energy TransitionDOI

Sensitivity analysis of fleet-level life cycle carbon emissions to biofuel options and emission policy schemes for the U.S. commercial airlines

Chao H.

A sensitivity analysis of fleet-level life cycle carbon emissions for U.S. commercial airlines under different biofuel options and emission policy schemes. It quantifies how SAF choices and policy design shape aviation decarbonization estim…

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Peer-reviewedConferenceProceedings of the ASME Turbo Expo2017#Energy TransitionDOI

A stand-alone syngas-fuelled small-size CHP GT

Arnulfi G.L.

A technical paper on a stand-alone small-size combined heat and power (CHP) gas turbine fuelled by syngas. No abstract is available, but it appears to propose a decentralized low-carbon power/heat technology. By using biomass- or waste-deri…

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Peer-reviewed🇯🇵 JapanJournalInternational Journal of Applied Power Engineering2025#Energy TransitionDOI

Optimizing microgrid designs towards net-zero emissions for smart cities: addressing energy disparities and access issues in Northern and North-eastern India

Arunkumar A.P.

This paper optimizes microgrid designs for net-zero emissions in smart cities of Northern and North-eastern India, addressing energy disparities and access gaps. It links distributed renewable deployment with equity and policy implications …

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Peer-reviewedJournalBMJ2020#Energy TransitionDOI

Making healthcare and health systems net zero

Pencheon D.

A paper on decarbonizing the healthcare sector and health systems toward net zero. Healthcare is both a significant emitter and highly exposed to climate-health impacts, so the work likely addresses aligning decarbonization with public heal…

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Peer-reviewedJournalInternational Journal of Sustainable Energy Planning and Management2024#Energy TransitionDOI

A Soft-linkingMethod for ResponsiveModelling of Decarbonisation Scenario Costs

Cameron C.

This paper proposes a soft-linking method for more responsive modelling of decarbonisation scenario costs. By loosely coupling models, it aims to improve the flexibility and policy responsiveness of scenario analysis. Without an abstract, t…

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Peer-reviewed🇪🇺 EuropeJournalApplied Sciences2026#Energy TransitionDOI

Predicting Negative Day-Ahead Electricity Prices Across 12 European Bidding Zones: A Gate-Closure-Audited Explainable Machine Learning Framework

T. Rokicki, P. Bórawski, Aneta Bełdycka-Bórawska +1

Using 736,000+ observations from 12 European bidding zones (2019–2025), this study builds a gate-closure-audited XGBoost framework to predict negative day-ahead electricity prices. Pre-auction signals (price history, calendar, structural lo…

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Peer-reviewed🌍 GlobalJournalRevista Científica Semana Acadêmica2026#Energy TransitionDOI

AVALIAÇÃO DO CICLO DE VIDA DAS EMISSÕES DE CO₂EQ NA CONSTRUÇÃO DE INFRAESTRUTURA FERROVIÁRIA

Pedro Igor de Araújo Rêgo, Augusto Cesar de Mendonça Brasil, Paulo Cesar Marques da Silva

A PRISMA 2020 systematic review of LCA applications to railway infrastructure construction carbon. From 365 records, 34 studies were synthesized; cement, concrete, rebar, tunnels, earthworks and site energy are recurring hotspots. Nineteen …

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Peer-reviewed🇪🇺 EuropeJournalJournal of Marine Technology and Environment2026#Energy TransitionDOI

OPTIMIZING MARITIME SUPPLY CHAINS USING ARTIFICIAL INTELLIGENCE AND BIG DATA

Dumitru-Cătălin Vasile

This paper reviews how AI and big data analytics optimize maritime supply chains across four layers: voyage/route optimization, port operations, predictive maintenance, and end-to-end visibility. It synthesizes reported gains (ETA errors ~0…

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