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 23081–23100 of 36021 papers

Peer-reviewed🇪🇺 EuropeJournalRemote Sensing2026#AI × ESGDOI

Remote Sensing and AI-Based Monitoring of Soil Properties for Tier-3 MRV Framework of Complex Mediterranean Agroforestry Systems

Dimitra Palantza, Konstantinos Karyotis, Judit Torres Fernández del Campo +2

This study develops a hybrid machine learning and remote sensing framework for high-resolution soil organic carbon (SOC) mapping in Mediterranean agroforestry systems. Using Sentinel-2 data and environmental covariates, the model achieves R…

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Peer-reviewedJournalDiscover Sustainability2026#Carbon PricingDOI

A multi-objective fuzzy programming model for biofuel supply chain under a hybrid biorefinery system and carbon tax regulation

Tita Talitha, Wakhid Ahmad Jauhari, Cucuk Nur Rosyidi +1

This study proposes a multi-objective fuzzy programming model for biofuel supply chain under a hybrid biorefinery system and carbon tax regulation. The model evaluates economic and environmental trade-offs and analyzes the impact of carbon …

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Peer-reviewedJournalEQUALEGUM International Law Journal2026#Carbon PricingDOI

ANALYSIS OF CARBON TRADING REGULATIONS AND THEIR CONTRIBUTION TO ACHIEVING INDONESIA’S NATIONAL EMISSION REDUCTION TARGETS

Riska Sari, Muhammad Fariz, Daniel Allan Rosen

This study examines Indonesia's carbon trading legal framework, including Presidential Regulation No. 98/2021, using normative legal research. It assesses the framework's effectiveness in supporting national emission reduction targets. Find…

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Peer-reviewed🇪🇺 EuropeJournalJournal of Earth and Environmental Sciences Research2026#Energy TransitionDOI

Renewable Electricity Beats UK Grid

Kevin Kendall

This paper demonstrates that combining solar, wind, and hydrogen storage can deliver electricity at less than half the cost of the UK National Grid. With a payback period of 3-4 years and estimated savings of £60M per site over ten years, i…

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Peer-reviewedJournalInternational Journal of Accounting, Management and Economic Review2026#ESGDOI

DO FIRM CHARACTERISTICS SHAPE ESG DISCLOSURE? INSIGHTS FROM NIGERIA'S LISTED MANUFACTURING COMPANIES

Olajide Taiwo, Laka Daniel Temitope, Laka Unenwojo Folaolurin +1

This study examines the effect of firm characteristics (profitability, board size, firm age) on ESG disclosure components among 20 listed Nigerian manufacturing firms (2014-2023, 200 firm-years). Panel regression reveals that firm age signi…

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Peer-reviewed🇪🇺 EuropeJournalProcesses2026#Energy EfficiencyDOI

Algorithm-Driven Demand Optimization as an Enabler of Industrial Prosumers in Renewable Energy Communities: A Techno-Economic Assessment of a Flat Glass Processing SME

Ateeq Ur Rehman, Dario Atzori, Sandra Corasaniti +3

This study proposes a multi-objective optimization approach for a flat glass processing SME to become a prosumer in a renewable energy community (REC). It optimizes energy cost, carbon emissions, and load curtailment using four algorithms (…

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Peer-reviewedJournalComputers & Chemical Engineering2026#Energy TransitionDOI

A novel algorithm for bounding the optimal solutions in multi-time scale decarbonization planning problems involving varying energy prices: Electrification of oil refineries as a case study

Sampriti Chattopadhyay, Rahul Gandhi, Ignacio E. Grossmann +1

This paper proposes a novel algorithm to efficiently bound optimal solutions in multi-time scale decarbonization planning problems under varying energy prices. Using the electrification of oil refineries as a case study, it demonstrates pra…

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Peer-reviewedJournalEnergy Conversion and Management: X2026#AI × ESGDOI

Algorithmic intelligence for industrial decarbonization: a comparative analysis of meta-heuristic optimization versus commercial solvers in designing resilient hybrid microgrids

Md. Fardous Hasan Bappy

This paper compares meta-heuristic optimization algorithms with commercial solvers for designing resilient hybrid microgrids aimed at industrial decarbonization. It analyzes how AI-driven optimization can enhance energy efficiency and cost …

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