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.
Peer-reviewed🇺🇸 USAJournalGreen2026#Carbon AccountingDOI
Biochar Production: Toward Safe, Effective, and Sustainable Agriculture
Omotayo Emmanuel Ojewumi, Gang Chen, M. E. Ojewumi
This review examines biochar's role in sustainable agriculture and carbon sequestration, highlighting benefits like soil improvement and contaminant remediation while identifying risks such as PAH formation and heavy metal contamination. It…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#PolicyDOI
CLIMATE CONSTITUTIONALISM AND THE POSITIVE OBLIGATIONS OF THE STATE: PUBLIC LAW AFTER THE INTERNATIONAL CLIMATE OPINIONS OF 2024–2025
Şenyılmaz Doç. Dr. Dilek
This paper argues that climate change has shifted from environmental policy to a central issue of constitutional, administrative, and human rights law. Drawing on recent international climate jurisprudence, it analyzes how states are increa…
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
South Africa's 2030 Capacity Cliff: Institutional Frictions and the Velocity Mismatch in Accelerated Coal Phase-Out
Matshela Koko
This resource provides Python scripts generating Figures 3 and 4 for a paper on South Africa's coal phase-out (SSRN 5794522). Figure 3 presents a four-panel CII sensitivity analysis; Figure 4 places the transition in Vinichenko et al.'s his…
PreprintResearch Square2026#Energy TransitionDOI
Decarbonization Transformation Model of Multi-Energy Demand for Textile Manufacturing Processes
Sogut MZ, Kilikevičius A
This study optimizes multiple heat demands in a textile enterprise, showing that improving cogeneration efficiency by about 17% can reduce fossil fuel consumption by approximately 76%. A holistic thermal management model was developed to en…
Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Energy TransitionDOI
Initiatives toward Building a Decarbonized and Regional Circular Sphere in Odawara City
小田原市における脱炭素・地域循環共生圏の構築に向けた取り組み
(著者不明)
This paper introduces Odawara City's efforts to build a decarbonized and regional circular sphere. It presents a local government-led model for promoting green transformation through renewable energy adoption and regional resource circulati…
Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Renewable EnergyDOI
Significance and Prospects of Renewable Energy
再生可能エネルギーの意義と展望
(著者不明)
This document provides an overview of the significance and future prospects of renewable energy. Specific data or analysis is unclear, but it likely discusses the importance of energy transition.
Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Renewable EnergyDOI
Long-term outlook for renewable energy utilization
再生可能エネルギー利用の長期展望
(著者不明)
This paper presents a long-term outlook for renewable energy utilization, outlining the direction of energy transition, though specific data and analysis are not provided.
Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Energy TransitionDOI
Demonstration Test of Power Stabilization Methods to Support the Expansion of Renewable Energy Introduction
再生可能エネルギーの導入拡大を支える,電力安定化手法の実証試験
(著者不明)
This paper reports a demonstration test of power stabilization methods to support the expansion of renewable energy. While specific methods and results are unclear, it likely provides technical insights into grid stability, a key challenge …
Preprint🇺🇸 USAEarthArXiv2026#AI × ESGDOI
AquaContam: machine-learning models of drinking-water contamination learn who is monitored as much as where contamination occurs
Newton. Tyler James
AquaContam uses over 4 million samples from 95,223 U.S. water systems to show that ML models learn monitoring processes as much as contamination. Apparent lead-model performance is largely a target-leakage artifact, and monitoring is inequi…
Preprint🇺🇸 USAZenodo2026#Energy TransitionDOI
EMPIRICAL PAPER II THE REQUIREMENT–CAPACITY RACE IN NORTH AMERICAN ELECTRICITY
Rupture, Signal
This paper applies the SignalRupture structural grammar to electricity systems, analyzing the race between rising demand (especially from AI data centers) and supply capacity. Based on NERC forecasts, it projects over 224 GW of additional p…
PreprintZenodo2026#Energy TransitionDOI
AI for Energy Management System
Dr. V. SRIDEVI, STEPHY ANGELIN J, Dr. SANJAY L. KURKUTE +1
This book comprehensively explores AI applications for smart, efficient, and sustainable energy systems. It covers machine learning for demand forecasting, optimization, renewable integration, smart grids, IoT monitoring, predictive mainten…
Preprint🇪🇺 EuropeZenodo2026#Energy TransitionDOI
VESTA-CH - Very High Temperature Heat Aquifer Storage
Alcolea, Andrés, Meier, Peter
The VESTA-CH project addresses long-term performance degradation in high-temperature thermal energy storage (HTS) systems by investigating coupled thermo-hydro-chemical processes. It combines numerical modeling with experiments and field ob…
PreprintZenodo2026#CCUSDOI
Data and analysis code for: Acoustically optimal state points for constraining CCS mixture models in the metering-critical region of CO₂ + N₂, O₂, and Ar
Aiken, Richard
This paper provides a complete computational pipeline and outputs for optimizing acoustic measurements of CO₂ mixtures relevant to CCS metering. It includes D-optimal designs, covariances, and reproducible scripts, supporting accurate flow …
PreprintZenodo2026#Energy TransitionDOI
Biofuel Expasion and the persistence of fossil fuel dependence: Evidence from Brazil
fumagali, junior, Gonçalves Montenegro, Rosa Livia, Arcanjo, Gabriel Arcanjo
This study examines the economic dimension of energy transition by analyzing the integration and persistence of ethanol, gasoline, and crude oil markets in Brazil using Bayesian VAR and BEKK-MGARCH models. It finds that biofuel expansion do…
Preprint🇺🇸 USAZenodo2026#Energy TransitionDOI
HCTGS v34 USA — Water, Energy and Industrial Ground in the United States Part1+2+3
Mehmetaj, Ilir
A three-part conceptual proposal applying a seawater thermal cascade (HCTGS) to US water, energy, and industrial siting challenges. Magnesium combustion and seawater steam condensation drive multi-stage production of fresh water, power, hea…
DatasetZenodo2026#Energy TransitionDOI
Data and Code for A Streamlined Life-Cycle Carbon Screening Model for Philippine Grid Decarbonisation
AQUINO, JESUNINO
This dataset and code provide a streamlined life-cycle carbon screening model for Philippine grid decarbonisation. The model compares life-cycle carbon emissions of power generation technologies, aiding policy and investment decisions. It s…
Preprint🇺🇸 USAZenodo2026#Energy TransitionDOI
EsteVeroMScThesis/US-Climate-Wedges---MSc-Thesis-Appendix: US Climate Wedges MSc Thesis Appendices Code v1.0
EsteVeroMScThesis
This repository provides a calculation spreadsheet for building decarbonization pathways, Python code to determine the number of feasible pathways, and supplementary materials (PDF). It applies climate wedges analysis to evaluate multiple d…
Peer-reviewedJournalAll Earth2026#Energy TransitionDOI
Recent advances in using biochar application for greenhouse gas mitigation strategies in rice field
Gideon Sadikiel Mmbando
This review summarizes recent findings on biochar application in rice paddies as a strategy to reduce greenhouse gas emissions, particularly methane and nitrous oxide. Biochar offers dual benefits of soil improvement and carbon sequestratio…
Peer-reviewedJournalAchievements of Science and Technology in Agro-Industrial Complex2026#OtherDOI
Pedigreed features of the intestinal microbiota of sheep and its relationship with greenhouse gas emissions and the metabolic profile of blood
N. V. Bogolyubova, A. A. Zelenchenkova
This study examines the relationship between gut microbiota, greenhouse gas emissions, and blood metabolic profiles in Dorper and Romanovskaya sheep in the Moscow region. Breed-specific interactions between bacteria and methanogens were ide…
JournalCollaborative Solutions: Cross Disciplinary Approaches to Achieve Global Sustainability Goals2026#HydrogenDOI
Green Hydrogen vs. Renewables: A Path to Net-Zero Emissions in a Complex Energy Landscape
(著者不明)
This paper compares green hydrogen and renewable energy in achieving net-zero emissions, analyzing their complementary roles and challenges in complex energy systems. It clarifies decarbonization pathways and offers implications for policy …