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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Showing 7501–7520 of 33441 papers

🇯🇵→🌍 Japan-to-Global🇯🇵 JapanDatasetZenodo2026#AI × ESGDOI

gxceed GX Disclosure Dataset v0.3 (2026Q3)

Kokubu, Hiroyuki

A quarterly snapshot of GX disclosure metrics machine-extracted from integrated reports and sustainability reports of TSE Prime-listed companies. Covers Scope 1/2/3 emissions, SBT status, TCFD disclosure, CDP score, renewable ratio, interna…

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PreprintZenodo2026#PolicyDOI

Green Auditing - A Pathway to India's Net Zero Transition

Dr. B. Vijay Bhaskar, Er. M. J. Vishnu Prasad

This paper explores the role of green auditing in facilitating India's net zero transition. It argues that auditing can ensure credibility of environmental claims and guide sustainable investment. Specific methods or case studies are unclea…

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Peer-reviewedJournalJES. Journal of Engineering Sciences2026#Energy EfficiencyDOI

Multi-Phase Steam Optimization and Decarbonization in a Refining Plant: A Steam-to-Feed Ratio Approach (2021–2025)

Ahmed Yehia Ibrahim, Emad Darweesh, Ahmed Hassan Youssef +2

This paper proposes a multi-phase steam optimization approach for a refining plant, using a steam-to-feed ratio to reduce energy consumption and CO2 emissions. It validates the method with plant data from 2021-2025, offering practical insig…

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Peer-reviewed🇪🇺 EuropeJournalSustainability2026#Energy TransitionDOI

Data-Driven Optimisation of Refinery Energy Systems: Exploring Flexibility and Integrated Decarbonisation Options with PyPSA

Francesco Ghionda, Diego Viesi, Edoardo Gino Macchi +3

This study proposes a data-driven optimization framework using PyPSA to evaluate refinery energy systems, integrating operational flexibility and decarbonization technologies. The model achieves up to 7.2% annual emissions reduction (around…

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Peer-reviewedJournalManagement International Review2026#Energy TransitionDOI

The Role of Advanced Technologies in Corporate Decarbonization: A Problematizing Review and Comparative Research Agenda

Heidy Montero-Teran, Rudolf R. Sinkovics, Olli Kuivalainen

This review critically examines assumptions in research on advanced technologies for corporate decarbonization, highlighting how national institutional contexts shape technology effectiveness. Using a problematizing review of 64 articles, i…

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Peer-reviewedJournalEnvironmental Research Letters2024#HydrogenDOI

Temporal regulation of renewable supply for electrolytic hydrogen

Zeyen E.

This paper focuses on the temporal regulation of renewable energy supply for electrolytic hydrogen production, analyzing how supply variability can be managed through operational strategies and policy. By combining renewable output fluctuat…

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