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🇪🇺 EuropeJournalEnergy Strategy Reviews2026#Energy TransitionDOI
The role of controllable household appliances for effective uptake of digital services by consumers and communities in the energy transition
Gianfranco Chicco, Gulshan Mustafayeva, Angela Russo +13
This review develops a multilevel framework for controllable household appliances across five domains: digital control, flexibility analysis, user engagement, aggregator management, and energy communities. It synthesizes methods, indicators…
DatasetZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
The Hidden Carbon Burden of Digitalization: Rebound Effects Limit Its Global Climate Mitigation Potential
Lin Yang, Simin Huang, Wenhui Zhao +2
This study assesses digitalization's climate mitigation potential by constructing a digitalization index, estimating total factor energy productivity, and applying random forest, SHAP, DeepAR, and counterfactual simulations. It quantifies t…
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#agricultureDOI
Seaweed-Derived Feed Additives for Enteric Methane Mitigation in Cattle: Efficacy Evidence, Economic Incentives, and Policy Pathways for Smallholder and Commercial Dairy Systems
A. Shaji George
Enteric methane from 1.5 billion cattle is among the largest untackled agricultural GHG sources. This review examines seaweed-based feed additives that inhibit rumen methanogenesis, citing reductions up to 80%+ depending on dose and conditi…
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
QUANTIFICATION OF CARBON DIOXIDE EMISSIONS FROM DIESEL-POWERED ELECTRICITY GENERATOR USING THE IPCC FUEL CONSUMPTION-BASED EMISSION FACTOR METHOD
Samuel O. Okozi1*, Peter C. Ibeh1, Ernest O. Ezugwu2, Maryrose O. Abba3, Sunday Chukwujindu4
This study quantified annual CO2 emissions from diesel generators at a Nigerian university using the IPCC fuel consumption-based emission factor method (2.68 kg CO2/L). Annual diesel use was 581,882.7 litres, yielding 1,559.4 tonnes CO2/yea…
Peer-reviewed🇺🇸 USAJournalStudies in Economics and Finance2026#Climate FinanceDOI
Energy market and carbon emission spillovers in critical minerals investment: a dynamic connectedness approach
Haibo Wang, Lutfu Sua, Jaime Ortiz +2
Using TVP-VAR on daily data (2013-2023), this study examines volatility spillovers between seven critical mineral ETFs and energy, carbon, sentiment, and infrastructure variables. High-ESG portfolios contribute significantly to shocks; WTI …
Preprint🇪🇺 EuropeResearch Square2026#Energy TransitionDOI
A novel multi-layer energy management system for enhanced grid services by a hybrid energy storage system
Azkue M, Saez-de-Ibarra A, Mascaro V +4
A three-layer hierarchical EMS developed in the HAVEN project uses cloud-based AI to forecast renewable generation, load, and battery remaining useful life, while mid-level optimization and edge-level control coordinate a hybrid storage sys…
PreprintResearch Square2026#Renewable EnergyDOI
AI-Driven Optimization of Renewable Energy Systems in Ethiopia: A National Framework
Dulecha KA, Sime TL, Ararso ZT +3
Proposes an AI framework combining LSTM, XGBoost, and reinforcement learning to optimize Ethiopia's solar, wind, and hydropower systems. Using real data from Ethiopian Electric Power and meteorological agencies, XGBoost achieved 0.91 accura…
Preprint🌍 GlobalResearch Square2026#AI × ESGDOI
Artificial Intelligence in the Development of Greenhouse Gas Emission Inventories for Commuting: A Case Study at the University of Sao Paulo’s Butantan Campus
Maia Vilela M, Baesso Grimoni JA
Using generative AI and 6,700 origin-destination survey responses, this study calculates commuting-related GHG emissions at USP's Butantan Campus. Commuting can exceed Scope 1 and 2 emissions, underscoring the need to include Scope 3 in hig…
PreprintResearch Square2026#AI × ESGDOI
EcoAccel-ITAD: A Telemetry-Driven Diagnostic and Embodied Carbon Accounting Framework for Second-Life Heterogeneous AI Accelerators
Islam MS
EcoAccel-ITAD is a telemetry-driven, non-destructive diagnostic and carbon allocation framework for second-life heterogeneous AI accelerators at decommissioning. It pulls low-level degradation metrics via vendor APIs (NVML, ROCm SMI, OneAPI…
Preprint🇯🇵→🌍 Japan-to-Global🇯🇵 JapanResearch Square2026#Carbon AccountingDOI
Carbon Footprint Assessment of Lubricant Products: A Case Study in Taiwan
Ting C, Ouattara A, Yu L +5
Using Taiwan's PCR-compliant LCA, this study quantifies the cradle-to-grave carbon footprint of two automotive lubricants at ~1.45-1.46 kg CO2eq/kg, dominated by raw material acquisition. An eco-design switch to 100% recycled HDPE packaging…
DatasetZenodo2026#CCUSDOI
Data and code for "Electrochemical-Fidelity Propagation in Dynamic Carbon Routing of an MCFC–CCS–Methanol System: Origin-Resolved Allocation Between Methanol and Geological Storage"
KEÇECİ, Ahmet, HELVACI, Hüseyin Utku
A frozen data-and-code release supporting a study on dynamic carbon routing in an integrated MCFC–CCS–methanol system. It includes electrochemical modules, a validated reduced model for cryogenic CO2 purification, a 24-h multiobjective opti…
🇪🇺 EuropeDatasetZenodo2026#Carbon AccountingDOI
The LULUCF Data Hub: translating global land use emissions estimates into the national GHG inventory framework (Version 4.0.0, 2026 NGHGI release)
Melo, Joana, Rossi, Simone, Achard, Frédéric +16
Version 4.0.0 of the LULUCF Data Hub compiles country-level CO2 fluxes from land use, land-use change and forestry reported by 197 UNFCCC Parties, harmonised to IPCC categories (forest, deforestation, organic soils, HWP). It translates inde…
PreprintZenodo2026#Energy TransitionDOI
Modeling the decarbonization trajectories of the Moroccan agri-food industry: a prospective analysis with OSeMOSYS
DODDE, Kyrill
Using a bottom-up OSeMOSYS optimization model, this study assesses four decarbonization scenarios for Morocco's agri-food industry to 2050 under tightening climate policy and EU CBAM exposure. An 85% emissions cut is technically feasible vi…
CNDatasetZenodo2026#Energy TransitionDOI
Code and processed data for "From pollution haven to decarbonisation supplier: China's export reversal"
Chen, Yang, Zhang, Shumin, Huang, Dasheng +6
This repository provides the analysis code, processed data and figures for a study on China's shift from pollution haven to decarbonisation supplier. It covers GLORIA v060 MR-SUT embodied-emission accounting (1990-2024), MEIC v2 pollutant c…
Peer-reviewed🇺🇸 USAJournalEnvironmental Science & Technology2026#Energy TransitionDOI
A Multi-Model Assessment
of the Air Quality and Health
Impacts of U.S. Energy Decarbonization
Jinyu Shiwang, Wei Peng, John Bistline +10
Using three leading U.S. energy system models (US-REGEN, GCAM-USA, REPEAT), this study shows net-zero transitions robustly cut ambient PM2.5 and related mortality nationwide. By 2050, PM2.5-attributable mortality falls 28–73% versus 2017, t…
Peer-reviewedConferenceProceedings of the Water Environment Federation2026#Energy TransitionDOI
Decarbonization Strategy Best Practices Derived from a Water Utility Experience Survey
Aby sabzwari, Jeremy Kraemer
This study derives decarbonization best practices from an experience survey of water utilities. It compiles practical insights on reducing energy use and GHG emissions in public infrastructure operations, with a focus on operational improve…
Peer-reviewedJournalEnergies2026#OtherDOI
Integrated Geomechanical Coupled Model for Co-Production of Tight Gas and Deep CBM and Its Parameter Sensitivity Study
Sun Z.
This study builds an integrated geomechanical coupled reservoir model for co-production of tight gas and deep coalbed methane, with a parameter sensitivity analysis. It offers engineering insight for hydrocarbon recovery efficiency, though …
Peer-reviewedJournalEnergies2026#Renewable EnergyDOI
Decision-Focused Learning-Based Optimization for Renewable Imbalance Settlement and Flexible Resource Dispatch
Zhang H.
Proposes a decision-focused learning approach to optimize renewable imbalance settlement and dispatch of flexible resources such as storage and demand response. By training models directly on downstream operational cost and settlement outco…
Peer-reviewed🌍 GlobalJournalEnergies2026#Renewable EnergyDOI
Network-Constrained Renewable Integration in Tunisia: A Deterministic Assessment of Storage Flexibility and Transmission Deliverability
Berriri H.
A deterministic assessment of renewable integration under network constraints in Tunisia, examining storage flexibility and transmission deliverability. It identifies grid bottlenecks for high renewable penetration and informs prioritizatio…
Peer-reviewedJournalChemical Engineering Journal2026#CCUSDOI
Molecular regulation of CO2 mineralization via amino acid salts for coupled fly ash utilization and polymorph-controlled CaCO3 synthesis
Wang C.
This study uses amino acid salts to regulate CO2 mineralization at the molecular level, coupling fly ash utilization with polymorph-controlled CaCO3 synthesis. It demonstrates a route that combines carbon fixation with valorization of an in…
