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.
🌍 GlobalConferenceAfrica Technology Conference2026#Energy TransitionDOI
Beyond Quotas: Leveraging AfCFTA and Regional Industrial Hubs for Sustainable Local Content in the African Energy Sector
A. A. T. Singhe
This paper argues for a shift from national quota-based local content (LC) policies to regional industrial hubs under the African Continental Free Trade Area (AfCFTA). Using Wright's Law within a Regional Efficiency Framework, it demonstrat…
ConferenceAfrica Technology Conference2026#HydrogenDOI
Transforming Associated Gas Liabilities into Zero-Carbon Hydrogen Assets in African Energy Systems
O. Gbakeji
This study proposes a modular integrated process that captures flared associated gas in African oil-producing regions, purifies it via cryogenic chemical capture, and converts it into high-purity hydrogen and solid carbon using plasma techn…
Preprint🇪🇺 EuropeZenodo2026#carbon_farmingDOI
First MARVIC Market End-User Forum Public Summary Report
Lanckriet, Edouard
This report summarizes the first outcomes of the Market End-User Forum under the MARVIC project, which aims to develop Monitoring, Reporting, and Verification (MRV) systems for carbon farming. The forum gathers carbon market stakeholders (c…
🇺🇸 USADatasetZenodo2026#Energy TransitionDOI
Public Utility Data Liberation Project (PUDL) Data Release
Selvans, Zane A., Gosnell, Christina M., Sharpe, Austen +4
This monthly PUDL data release updates US electricity data (EIA-860M, EPA CEMS, FERC Form 1, etc.) through early 2026, adds new LNG inventory tables, and improves data package output to Frictionless v2. It provides open, standardized data f…
🇪🇺 EuropeDatasetZenodo2026#Energy TransitionDOI
Samadhi Lipari_UNICT_fieldwork data
Lipari, Samadhi
This paper presents fieldwork notes from the Simeto Valley in Sicily, documenting the socio-ecological impacts of the renewable energy transition. Through interviews with farmers, investors, and local administrators, it reveals how photovol…
PreprintZenodo2026#Energy TransitionDOI
DEVELOPMENT OF INTELLIGENT VOLTAGE CONTROL METHODS USING OLTC TRANSFORMERS UNDER REVERSE POWER FLOW CONDITIONS CAUSED BY SOLAR PHOTOVOLTAIC POWER PLANTS
Qosimov, Oybek
Proposes intelligent voltage control using on-load tap changer (OLTC) transformers to mitigate reverse power flow issues from high photovoltaic penetration. Integrates AI forecasting and smart grid approaches for enhanced voltage regulation…
PreprintZenodo2026#Renewable EnergyDOI
ANALYSIS OF THE EFFICIENCY OF HYBRID ENERGY SYSTEMS COMBINING THERMOELECTRIC GENERATORS AND SOLAR PHOTOVOLTAIC INSTALLATIONS
Fozilova, Mohira
This paper analyzes the efficiency of hybrid systems combining thermoelectric generators and solar photovoltaic installations. It investigates the possibility of increasing electricity generation by utilizing thermal energy from solar panel…
🇪🇺 EuropeDatasetZenodo2026#HydrogenDOI
Data for "Oscillatory motion of trickle-bed reactor can break up liquid channeling and thus increase reaction efficiency"
Bösmann, Andreas, Wasserscheid, Peter, Peric, Robinson +3
This study reports that applying oscillatory motion to a trickle-bed reactor for the hydrogenation of liquid organic hydrogen carriers (LOHC) significantly increases reaction efficiency. Steady-state reaction was reached 14 times faster wit…
PreprintZenodo2026#Renewable EnergyDOI
Study of Light Absorption and Energy Conversion in Solar Cells
Dr. Anjna Chetan
This comprehensive review analyzes light absorption and energy conversion in solar cells, covering materials like silicon, perovskites, and quantum dots, as well as light-trapping and nanophotonic enhancements. It highlights pathways to imp…
PreprintCNResearch Square2026#Energy TransitionDOI
Airport pavement roughness as an overlooked driver of aviation carbon emissions: global implications from Chinese airports Affiliations
Liu S, Sun Z, Ling J +7
Using 25 years of roughness data from ~80% of Chinese airports, this study shows pavement roughness increases aircraft taxiing fuel consumption and CO2 emissions by over 5×10^7 g annually. A Carbon Condition Index (CCI) is proposed; impleme…
Preprint🇪🇺 EuropeResearch Square2026#Climate FinanceDOI
The impact of risk indicators on green and conventional corporate bonds: an empirical analysis from Europe
Öcal H, Kamil AA, Torasan S
This study examines volatility dynamics in European corporate green and conventional bond markets from May 2020 to Jan 2025 using Granger causality, VAR, and impulse response analysis. It finds that VIXIE and VSTOXX negatively affect bond r…
PreprintResearch Square2026#Renewable EnergyDOI
Multifunctional Nanomaterials for High-Performance Renewable Energy Storage and Conversion Devices
G. Anand L
This study examines the role of multifunctional nanomaterials in high-performance renewable energy storage and conversion devices, including batteries, supercapacitors, fuel cells, and solar energy systems. It highlights recent progress in …
PreprintResearch Square2026#HydrogenDOI
Synergistic Nucleation and Texture Engineering of Cu <sub>2</sub> O Photocathodes for Efficient and Durable Solar Hydrogen Evolution
Kim DS, Lee KW, Lee HH +3
This paper reports a vertically textured Cu2O photocathode fabricated by low-temperature electrodeposition using Au seeding and Sb doping. The synergistic control promotes dense nucleation and preferred orientation, improving charge transpo…
PreprintResearch Square2026#Renewable EnergyDOI
Enhancing Machine Learning models of biogas production in wastewater treatment plants using hybrid Bayesian optimization based on Gaussian process
SADOUNE H, RIHANI R, MARRA FS
This study compares DNN and XGBoost models for predicting biogas production in an industrial wastewater treatment plant, using Bayesian optimization with Gaussian processes for hyperparameter tuning. DNN outperformed XGBoost (R²=0.78), and …
Preprint🌍 GlobalResearch Square2026#Renewable EnergyDOI
Natural disasters and clean energy transition: Rising from the ashes of destruction?
Ajayi I
This paper provides the first subnational-level causal evidence that natural disasters increase renewable energy diffusion. Using panel data on 2,700 renewable projects and 6,000 disasters across 84 developing countries (1990-2021), it find…
Preprint🇪🇺 EuropeResearch Square2026#Renewable EnergyDOI
Hierarchical Energy Management for Renewable Energy Communities Using MPC and Rule-Based Control with Peer-to-Peer Energy Trading
Saleem S, Poullikkas A, Qureshi MA +3
This paper proposes a hierarchical decentralized Energy Management System (EMS) for a residential energy community in Cyprus, combining a rule-based minimum viable prototype with Model Predictive Control (MPC) for community battery manageme…
Preprint🌍 GlobalResearch Square2026#Renewable EnergyDOI
Securing the Operation of Distribution Networks under High Renewable Energy Penetration: A Systematic Review
Dharmasiri T, Herath N, Ekanayake JB
This systematic review examines operational security challenges and mitigation pathways for distribution networks under high renewable penetration. It categorizes challenges into voltage, protection, asset, and converter-interaction issues.…
Preprint🇺🇸 USAResearch Square2026#Energy TransitionDOI
Government R&D investment in energy and its non-linear environmental effects: Evidence for the USA
Sellami O, Youssef SB
Using US data from 1980-2023, this study examines the impact of government R&D spending on renewables and fossil fuels on CO2 emissions and renewable energy consumption with ARDL/NARDL models. It confirms the Environmental Kuznets Curve and…
Preprint🌍 GlobalResearch Square2026#HydrogenDOI
Sustainably Producing Green Fuel Ammonia in Equatorial Waters and Piping It Worldwide, and Removing Atmospheric CO 2 to Return to the 1960s Temperature Rise Level by 2100
Kobayashi H
This study proposes a large-scale system using floating offshore photovoltaic (FOPV) in equatorial waters to produce green hydrogen and ammonia, transported worldwide via pipelines. It also models atmospheric CO2 removal to revert temperatu…
PreprintResearch Square2026#Energy TransitionDOI
Retrieval-Augmented Large Language Models for Climate Change and Renewable Energy Knowledge Synthesis
Orabi A, Harb H, Khedr A
This paper proposes a Retrieval-Augmented Generation (RAG) framework for climate change and renewable energy knowledge synthesis. It combines dense retrieval (FAISS, HNSW) with LLMs to ground responses in authoritative sources like IPCC and…