GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 10941–10960 of 17169 papers

Peer-reviewedJournalResults in Engineering2026#CCUSDOI

Pyrolysis Upcycling of Sugarcane Filter Cake into Engineered Biochar for Low-Carbon Cement Composites: Process Optimization via RSM

Kampanat Momwit, Kunthakorn Khaothong, Penpichcha Sanit-in +6

This study optimizes the pyrolysis of sugarcane filter cake into engineered biochar for use in low-carbon cement composites using Response Surface Methodology (RSM). The process upcycles agricultural waste, sequesters carbon, and reduces th…

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Peer-reviewed🇪🇺 EuropeJournalSustainability2026#Carbon AccountingDOI

Adaptive Reuse of 20th-Century Concrete Grain Silos in Romania: Towards Sustainable and Low-Carbon Management of Industrial Heritage

V. Marcelo, F. Javier López-Díez, Vlad Nicolae Arsenoaia +2

This study presents the first systematic inventory of Romania's 20th-century reinforced-concrete grain silos, identifying and analyzing 201 silos across 130 locations. It assesses their spatial distribution, construction characteristics, an…

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Peer-reviewedJournalSustainable Cities and Society Advances2026#Energy TransitionDOI

Enhanced low-carbon economic dispatch for grid-connected microgrid

Masood Rizvi, Bhanu Pratap, Shashi Bhushan Singh +2

This paper proposes an enhanced low-carbon economic dispatch method for grid-connected microgrids, aiming to minimize operational costs while reducing carbon emissions. The approach integrates renewable energy sources and energy storage sys…

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🇪🇺 EuropeDatasetZenodo (CERN European Organization for Nuclear Research)2026#HydrogenDOI

Deployment realism and environmental trade-offs of low-carbon hydrogen pathways in France: a prospective life cycle assessment

Francois-Xavier Dezert, Guillaume Batôt, Myriam Merad

This paper provides a comprehensive database of low-carbon hydrogen projects in France (2025-2035) and uses prospective life cycle assessment to analyze environmental trade-offs. It considers realistic deployment scenarios to quantify the e…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI

The Carbon Reduction Effects of Urban Green and Low-Carbon Transition Policies: Synergies Derived from Pilot Schemes for Carbon Trading and Green Credit Interest Subsidies

Yudan Xu, Hong Wu

Using panel data from 274 Chinese cities, this study employs a difference-in-differences model to assess the synergistic effect of carbon trading and green credit interest subsidies on regional carbon emissions. Results show that policy syn…

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Peer-reviewedJournalInternational Journal of Environment and Climate Change2026#Carbon PricingDOI

A Review on Carbon Trade and Related Policy in India

S. Nandhakumar, Laxmi Balaganoormath, Sushma C. Meti +2

This review outlines India's carbon credit trading framework, including REC, PAT, and CCTS policies that have driven industrial decarbonization, while highlighting the limited participation of the agricultural sector. Conservation agricultu…

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Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Law on Carbon Credit Trading on the Voluntary Carbon Market

Tran Van Mong

This paper analyzes the legal framework for carbon credit trading on the Voluntary Carbon Market (VCM) in Vietnam in the context of achieving net zero emissions by 2050. It identifies shortcomings in legal definitions, ownership rights, MRV…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI

Comparison and Optimization of Carbon Emission Trading Price Prediction Models in China—Based on Time Series Analysis and Machine Learning

Bingyan Fan, Yuan Xue, Mingyue Dai +2

This study compares four models (ARIMAX, CNN, GRU, Transformer) for carbon price prediction across five Chinese pilot markets. LASSO identifies key factors, and hybrid models SVR-ARIMAX and GA-GRU improve accuracy. Forecasts show Shenzhen h…

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