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-reviewedJournalHuman Science Research Council SA2026#Energy TransitionDOI
Fostering a just energy transition: lessons from South Africa's Renewable Energy Independent Power Producer Procurement Programme
Human Sciences Research Council
South Africa's renewable energy independent power producers (REIPPs) largely depend on foreign manufacturers and resources, contradicting just transition principles that encourage local job creation. This article examines how REIPPs can shi…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#EV & TransportDOI
Scenario analysis of electric and hybrid mobility pathways for light-duty transport in Ecuador
Mónica López, Daniel Hidalgo
This study evaluates BEV and HEV deployment scenarios for Ecuador's light-duty transport sector using OSeMOSYS. The ENEM scenario achieves 12.14% cumulative energy demand reduction vs. BAU and contributes 15% to the NDC conditional target. …
Peer-reviewed🇪🇺 EuropeJournalResources2026#Renewable EnergyDOI
Bio-Based Construction Materials in the Context of the EU Bioeconomy: Overcoming Systemic Barriers to Mainstream Adoption
Fernando Pacheco Torgal
This paper analyzes barriers to mainstream adoption of bio-based construction materials in the EU, categorizing them into structural, economic, technical, and enabling levels. It finds institutional and economic barriers dominate over techn…
Peer-reviewedJournalNew Energy Exploitation and Application2026#Renewable EnergyDOI
Economic Growth and Renewable Energy Policies in India: An Econometric Analysis of the Relationship between Energy and Growth (2004–2024)
Mamon Adam Maarof
This study analyzes the relationship between renewable energy consumption and economic growth in India (2004-2024) using ARDL. It finds a negative long-run impact of renewables on growth, likely due to transition costs, but emphasizes CO2 r…
Preprint🌍 GlobalResearch Square2026#CCUSDOI
Converting Environmental Liabilities in the Construction Sector through Accelerated In Situ Carbonation with Supercritical CO₂ during Mixing: Global Systematic Review and Roadmap for Peru
GALVEZ PRP
This systematic review covers CCUS technology of accelerated carbonation with supercritical CO₂ during concrete mixing. It reports CO₂ uptakes of 15-50 kg/m³, compressive strength increases of 12-30%, and carbon footprint reductions of 15-4…
PreprintResearch Square2026#AI × ESGDOI
Decomposition-informed deep learning for wind-power forecasting: A CEEMDAN→VMD hybrid with feature extraction and per-component deeplearners
NOUNANGNONHOU CT, DIDAVI KBA, AZA-GNANDJI MR
This paper proposes a hybrid deep learning model (B6) combining CEEMDAN-VMD dual decomposition with a GRU-attention backbone for wind power forecasting. Evaluated on seven wind farms, it reduces MAE and RMSE by 25-35% over baselines for 1h,…
Preprint🇯🇵→🌍 Japan-to-Global🇯🇵 JapanResearch Square2026#EV & TransportDOI
Estimating the Potential of Demand Response by Electric Vehicles in Commercial Districts- A Case Study in Tokyo Station Front District
Toyoshima T, Takaguchi H
This study simulates the potential of EV-based demand response in the Tokyo Station Front District, projecting building stock and electricity demand to 2050. Results show that bidirectional V2B/V2G charging can reduce annual energy costs by…
PreprintZenodo2026#AI × ESGDOI
Adaptive control of the virtual synchronous generator by deep neural networks for a wind high power conversion chain
Maataoui, Wijdane El, Abounada, Abdelouahed
This paper proposes replacing the classical virtual synchronous generator (VSG) control with a deep neural network (DNN) for wind power systems. The DNN is trained end-to-end using supervised learning to generate inverter control signals fr…
Preprint🌍 GlobalZenodo2026#AI × ESGDOI
Resilient EV charging station network design using AI algorithms
Somasundaram, Deepa, Krishnamoorthy, N., Anand, J. Vijay +3
This paper proposes an AI-driven framework for EV charging station placement integrating LSTM-based spatiotemporal demand forecasting, GA-PSO multi-objective optimization, and deep reinforcement learning for adaptive resilience. Evaluation …
Preprint🇪🇺 EuropeZenodo2026#PolicyDOI
Coherence of Energy Transition Policies in Cross-Border Regions: A Comparative Study of Czechia, Germany, and Poland
Zathey, Maciej, Malczewski, Przemysław
This paper analyzes the coherence of regional energy transition policies within EU strategic frameworks (European Green Deal, Fit for 55, RED III). Focusing on the tri-border region of Czechia, Germany, and Poland (Liberec, Saxony, Lower Si…
Preprint🌍 GlobalZenodo2026#Transition FinanceDOI
GREEN BONDS VS. SUSTAINABILITYLINKED LOANS: WHICH WORKS FOR INDUSTRIAL DECARBONISATION?
Ataxanov Umidbek Olimovich
This paper compares green bonds and sustainability-linked loans (SLLs) for financing industrial decarbonization, using 2024-2026 market data, BIS study, and academic research. Green bonds reduce Scope 1 emissions by 21% within one year, whi…
Peer-reviewed🇨🇳 ChinaJournalInternational Journal of Environmental Protection and Policy2026#Carbon PricingDOI
Environmental Performance and Carbon Emissions: Revisiting the Role of Environmental Taxes and Policy Stringency for OECD Countries
Arshad Ali, Gohar Ali
This study analyzes the impact of environmental taxes and environmental policy stringency on CO2 emissions across 32 OECD countries from 2000 to 2022 using panel data. Results show that a 1% increase in environmental taxes reduces CO2 emiss…
Peer-reviewed🇨🇳 ChinaJournalWorld Electric Vehicle Journal2026#EV & TransportDOI
Application and Prospects of Vehicle-to-Grid (V2G) Technology for Electric Vehicles in the Civil Aviation Airport Flight Zone
Jiyun Zhang, LeiLiang Wan, Qingbing Li +2
This paper provides the first systematic review of V2G technology to transform electric Ground Service Equipment (e-GSE) at airports from 'charging loads' into 'dispatchable energy storage resources.' It examines the core technical framewor…
Peer-reviewed🇨🇳 ChinaJournalEnergy Policy2026#Energy TransitionDOI
Collateral impact: U.S.-China tensions and energy transition in third countries
Q. Chen
Analyzes how geopolitical tensions between the U.S. and China impact energy transitions in third countries, focusing on supply chain shifts and investment patterns, offering policy insights.
Peer-reviewed🇨🇳 ChinaJournalGeological Journal2026#Energy TransitionDOI
Energy Transition and Environmental Efficiency in <scp>ASEAN+6</scp> : The Dominant Role of Globalisation Over Renewable Energy
Amogh Ghimire, Sajjad Ali, Kishwar Ali
Using panel data from ASEAN+6 countries, this study examines the relationship between energy transition and environmental efficiency. Fossil fuels negatively impact environmental efficiency, while renewables and globalization improve it. Gl…
Peer-reviewed🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#Energy EfficiencyDOI
Decoding the impact of urban form on energy efficiency in shrinking cities: dynamic evolution, spatiotemporal transitions, and SHAP analysis
Xiaofeng Ran, Jiarui Yuan, Shuyue Jiang +1
This study analyzes the dynamic evolution and spatiotemporal transitions of energy efficiency (EE) in 159 shrinking cities in China using exploratory spatiotemporal data analysis. It employs Random Forest and SHAP to reveal the impact mecha…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Renewable EnergyDOI
Quantifying the Cross-Regional Spillover Effects of Offshore Wind Power on National Carbon Footprint: Insights from China’s Two Largest Installed Capacity Provinces
Zhenfeng Zhang, Chong Jiang, Aiyun Song +4
This study uses EE-MRIO to analyze offshore wind power in Guangdong and Jiangsu, China. It finds that through a 'local consumption' model, offshore wind effectively replaced coal-fired generation, reducing CO2 emissions by 16.72 million ton…
Peer-reviewed🇨🇳 ChinaJournalEnergy Policy2026#PolicyDOI
Cost-effective synergy of energy and environmental policies in carbon emission reduction: Evidence from China's iron and steel industry
Y Zhang, Jia-Jia Wu
This paper empirically analyzes the cost-effective synergy of energy and environmental policies for carbon emission reduction in China's iron and steel industry. It examines whether policy combinations are more effective than individual pol…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI
Research on the Spatiotemporal Correlation Characteristics Between Artificial Intelligence and Energy Transition in China
Delin Xin, Sansan Zhang, Rui Zhang +5
This paper analyzes the spatiotemporal correlation between AI development and energy transition across 30 Chinese provinces. Results show that AI growth is concentrated in eastern regions, while overall energy transition levels are rising. …
Peer-reviewed🇨🇳 ChinaJournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
STRATEGIC EQUIPMENT DEPLOYMENT IN ENERGY TRANSITION PROJECTS: OPERATIONAL CHALLENGES AND OPTIMIZATION FRAMEWORKS
TAHA GUNDOGAR
This paper examines the transformation of equipment deployment strategy in energy transition projects, arguing that traditional deterministic cost optimization is insufficient under high logistical uncertainty and market volatility. It prop…