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🇨🇳 ChinaJournalNatural Resources Forum2026#Energy TransitionDOI
Impact of Policies on the Development of Geothermal Industry in China: An Empirical Analysis of Panel Data
Yong Jiang, Yalin Lei, Qun Li +1
Using panel data on Chinese listed geothermal firms (2004–2021), this study evaluates fiscal and tax policy effects. Direct subsidies boost patent output and technological innovation, while corporate income tax and VAT burdens correlate neg…
Peer-reviewed🇨🇳 ChinaJournalEnvironmental Science & Technology2026#Energy TransitionDOI
Global Steel Decarbonization under Policy, Technology, and Resource Constraints: A Process-Unit Agent-Based Model
Xiao Liu, Jingnan Hu, Xingang Liu +5
A country-resolved agent-based model tracks global steel process units annually to 2060, with units choosing operation, retrofit, conversion, retirement, or new build under policy, technology, and resource constraints. Across four scenarios…
Peer-reviewedConferenceADIPEC2026#Energy TransitionDOI
Reducing Flaring, Advancing Decarbonization and Enhancing Operational Resilience Through Control Scheme Optimization in Flash Gas Compression Systems
Mohamed Ghallab
A field-proven control-system optimization eliminated hydrate-induced flash gas compressor trips and recurrent flaring at a condensate stabilization facility. Dynamic simulation and control-philosophy redesign (continuous modulating vs. gap…
Peer-reviewed🇨🇳 ChinaJournalEnvironmental Science & Technology2026#Energy TransitionDOI
Building-Stock Turnover Reshapes Mitigation Priorities in China’s Building Sector
Yuqiong Long, Beijia Huang, Xiaofeng Gao +3
A provincial dynamic framework combining material flow analysis, life-cycle assessment, and ML-informed parameters projects China's building emissions to 2060. Under BAU, life-cycle emissions peak in 2031–2033, with carbon neutrality constr…
Peer-reviewed🇨🇳 ChinaJournalProceedings of the Institution of Civil Engineers - Engineering Sustainability2026#Energy TransitionDOI
China's urban rail transit carbon peak: when and how – a dynamic life cycle assessment
Yixiang Huang, Zehan Xu, Junfeng Chen +4
A dynamic life cycle assessment of China's urban rail transit (URT) sector projecting CO2 emissions from 2019 to 2035 under multiple scenarios. Only an ambitious scenario combining decarbonization technologies and strong policy enforcement …
PreprintZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
NatriumVolt™: Sodium-Ion Cells with Ultra-Low-Defect Prussian White Cathode and Lignin-Derived Hard-Carbon Anode Completely Replacing Lithium and Cobalt
Antigravity Advanced Materials Laboratory
Preprint introducing NatriumVolt™, a fully lithium-, nickel- and cobalt-free sodium-ion chemistry pairing a vacancy-free Prussian White cathode with a lignin-derived hard-carbon anode. A 200 Ah prismatic cell delivers 168 Wh/kg, 310 Wh/L, 9…
Peer-reviewedJournalEnergy2026#Energy TransitionDOI
Two-Stage Low-Carbon Scheduling for Heterogeneous Multi-Park Integrated Energy Systems Based on Distributed Model Predictive Control
Lan Ma, Mingfei He, Guihong Chen +1
No abstract is available; based on the title, this work proposes a two-stage low-carbon scheduling method for heterogeneous multi-park integrated energy systems using distributed model predictive control. It likely targets operational optim…
Peer-reviewed🇨🇳 ChinaJournalLand2026#Energy TransitionDOI
Green and Low-Carbon Urban Renewal Capacity for Sustainable Infrastructure in China: A Spatial Network Analysis
Wenxin Cai, Jianbo Hu, Yu Haichao
The study builds an 18-indicator, six-dimension index of provincial capacity for green low-carbon urban renewal across 30 Chinese regions (2020–2024). The national mean rose from 0.222 to 0.360, and spatial autocorrelation turned significan…
Peer-reviewed🇨🇳 ChinaJournalEnergies2026#Energy TransitionDOI
Hierarchical Source-Network-Storage Coordinated Scheduling for Low-Carbon and Economic Operation of Active Distribution Networks via Carbon Flow and Reinforcement Learning
Taorong Jia, Guoqing Yang, Xiangxiang Wei +1
This paper proposes a three-layer hierarchical source-network-storage scheduling framework that coordinates hourly network reconfiguration with 15-minute source-storage dispatch in active distribution networks. Carbon flow theory is embedde…
PreprintZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
Predictive Carbon-Aware Computing for Generative AI: Forecasting Low-Carbon Computational Windows Under Latency Constraints
Jincheng Zhang
This paper proposes PCAC-GAI, a conceptual framework that combines future inference-demand prediction with electricity carbon-intensity forecasting to schedule flexible generative-AI computations in low-carbon windows while respecting laten…
🇺🇸 USADatasetICPSR Data Holdings2026#Energy TransitionDOI
Scenarios for low carbon and low water electric power plant operations — implications for upstream water use
Environmental Protection Agency
EPA researchers model regional U.S. electricity mix scenarios to 2050 and estimate full life-cycle water use by stage for each generation source. The work quantifies how decarbonizing the power sector shifts water demand across upstream sta…
Peer-reviewedJournalComputational Finance & Economics2026#Energy TransitionDOI
Predicting energy-related carbon dioxide emissions based on disaggregated energy supply in Nigeria
Abubakar Jamilu Baita
This study predicts Nigeria's energy-related CO2 emissions using disaggregated energy supply factors and machine learning. Ridge regression outperformed lasso on test data (lowest RMSE/MAPE/MSE, highest R2), with petroleum and gas driving e…
Preprint🇺🇸 USA2026#Energy TransitionDOI
Electrification can trigger rapid growth in peak demand uncertainty
Mai Shi, Michael Craig
Using 256,200 county-level hourly simulations across 14 heat-pump penetration levels and 100 climate trajectories for the contiguous US, the authors quantify uncertainty in residential and commercial peak electricity demand. As penetration …
Peer-reviewedJournalGreen Energy and Environmental Technology2026#Energy TransitionDOI
Agro-industrial Waste-to-Energy in Sub-Saharan Africa: A Review of Sustainability, Technology, Circular Bioeconomy and Implementation Barriers
Serge N. Nouadjep
This review assesses agro-industrial waste-to-energy systems in sub-Saharan Africa as part of a circular bioeconomy, comparing anaerobic digestion, gasification, pyrolysis and biodiesel on efficiency, cost and GHG mitigation. It estimates m…
Peer-reviewedJournalGreen Energy and Environmental Technology2026#Energy TransitionDOI
Does an Increase in Renewable Energy Production Reduce Net Energy Imports?
Yuhyeon Bak, Yoon Lee
Using two decades of panel data from 51 countries, this study examines whether renewable energy production reduces energy imports, applying fixed-effects and spatial error models. Even after controlling for rising total energy consumption, …
Peer-reviewed🌍 GlobalJournalEnvironmental Research Infrastructure and Sustainability2026#Energy TransitionDOI
Energy and transport infrastructure is failing the people it serves
Marissa Bergman, Stephanie A. Hirmer, Julia Tomei +4
Low-carbon transitions are often judged by what gets built, yet energy and transport systems can remain unusable or unsafe for many. This Perspective argues that treating Gender Equality and Social Inclusion (GESI) as peripheral produces 's…
Peer-reviewed🇪🇺 EuropeJournalJournal of Thermal Analysis and Calorimetry2026#Energy TransitionDOI
Machine intelligence as a catalyst for renewable energy transformation: a review
Mingxu Xu, Ge Shi, Zhenyn Wu
A review examining how machine intelligence (AI/ML) can act as a catalyst for the renewable energy transition. Likely surveys applications such as grid operation, demand forecasting, and resource assessment, though no abstract is available …
Peer-reviewedJournalInternational Trade and Trade Policy2026#Energy TransitionDOI
The Effectiveness of Digitalization as a Key Driver of the Energy Transition for Energy Corporations
M. G. Grozykin
This paper compares the drivers of the global energy transition and argues that digitalization has the broadest and most sustained impact. Using comparative analysis and generalization, it claims digitalization gives oil and gas corporation…
Peer-reviewed🌍 GlobalJournalFuel Processing Technology2026#Energy TransitionDOI
From food waste to kerosene: combined bio- and thermochemical processing via the intermediate product 2,3-BDO – a technical analysis
Felix Mendler, Steffen Voß, Martin Kaltschmitt
This study models and simulates a novel integrated pathway converting food waste into sustainable aviation fuel (SAF) via the intermediate 2,3-butanediol (2,3-BDO), combining dark fermentation, a microbial electrolysis cell, aerobic ferment…
Peer-reviewed🇪🇺 EuropeJournalEuro-Mediterranean Journal for Environmental Integration2026#Energy TransitionDOI
Renewable electricity surplus exchanges through the Italy–Tunisia ELMED interconnection: an exploratory market coupling analysis
Alberto Biancardi, Idiano D’Adamo, Flavio Forti +2
This study builds a quantitative market coupling model to simulate cross-border renewable electricity exchanges via the Italy–Tunisia ELMED interconnection. On a representative summer day across PV/wind expansion scenarios, Tunisia shifts f…