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-reviewedJournalJournal of Energy Storage2026#Energy TransitionDOI
Achieving low-carbon electricity operations in net zero energy residential buildings through plug-in battery energy storage systems
Amaripadath D.
This work examines how plug-in battery energy storage systems can enable low-carbon electricity operations in net zero energy residential buildings. By raising self-consumption of rooftop solar and cutting grid imports, such storage support…
Peer-reviewedJournalHuagong Jinzhan Chemical Industry and Engineering Progress2025#Energy TransitionDOI
Construction and demonstration of net-zero industrial parks
Zhou Y.
This work addresses the construction and demonstration of net-zero industrial parks, aiming to show decarbonization pathways for industrial clusters via renewable energy and energy integration. No abstract is available, so the region, metho…
Peer-reviewedJournalIEEE Transactions on Sustainable Energy2026#Energy TransitionDOI
Scheduling for Hybrid Microgrids With Renewable Energy Sources and Hydrogen Storage: Data-Correlated Uncertainty Modeling and Semi-Convex Relaxation
Zipeng Liang, C. Chung, X. Yin +3
This paper proposes an energy management framework for hybrid microgrids integrating renewables, hydrogen storage, and EVs. It combines a data-correlated uncertainty set with a semi-convex relaxation to handle non-convex constraints and RES…
Peer-reviewed🌍 GlobalJournalEnvironments2026#Energy TransitionDOI
Screening Life-Cycle Carbon Assessment of Greywater Electrocoagulation: Effects of Applied Current, Electricity Carbon Intensity, and Electrode Production Route
Muhammad Rasool Al‐Kilani, Khalid Bani‐Melhem, Haitham Elnakar +7
This study couples bench-scale electrocoagulation (EC) experiments on greywater with a screening life-cycle carbon assessment for Al and Fe electrodes at 0.1–0.3 A. COD removal rose from ~68% to ~96% with current, but GWP increased from 0.3…
Peer-reviewedJournalJournal of Energy Storage2026#Energy TransitionDOI
Bi-level cloud computing for spatial banking of sustainable mobile energy storage logistics fleet in renewable-dominated carbon-constrained urban grid
Amir Mohammadian, Abdolmajid Dejamkhooy, SeyedJalal SeyedShenava +2
This study develops a bi-level scheduling framework for urban integrated energy systems where a cluster coordinator allocates a mobile energy storage logistics fleet, inter-system transfers, carbon trading, and green-certificate transaction…
Peer-reviewedJournalEnergy Conversion and Management2026#Energy TransitionDOI
Regional technoeconomic and life-cycle carbon assessment of direct air capture–based power-to-liquid sustainable aviation fuel production
Mahmoud Kiannejad Amiri, Mohammad Moosazadeh, Usama Ali +2
This study assesses the regional technoeconomics and life-cycle carbon emissions of producing power-to-liquid sustainable aviation fuel (SAF) from direct air capture (DAC) CO2 and renewable hydrogen. It highlights how costs and carbon-reduc…
Peer-reviewedJournalApplied Energy2026#Energy TransitionDOI
Agri-LLM forecaster: A physics-semantics-guided large language model for zero-shot load forecasting in low-carbon integrated agricultural energy systems
Lin Zhu, Xiaoqing Ji, Dechang Yang +3
This paper proposes a physics- and semantics-guided large language model (LLM) for zero-shot load forecasting in low-carbon integrated agricultural energy systems. It aims to enable accurate demand prediction in data-scarce agricultural ene…
Peer-reviewedJournalJournal of Cleaner Production2026#Energy TransitionDOI
Bi-objective pareto low-carbon automatic demand response of energy-intensive enterprises accommodating users’ electricity consumption habits and behaviors
Xiaoshun Zhang, Jiapan Di, Zhengxun Guo +1
This study formulates a bi-objective Pareto optimization for low-carbon automatic demand response (ADR) in energy-intensive enterprises that explicitly incorporates users' electricity consumption habits and behaviors. It addresses the trade…
Peer-reviewedJournalApplied Energy2026#Energy TransitionDOI
Non-iterative low-carbon coordinated optimal dispatch of distribution system and microgrids via power-cost-emissions equivalent projection
Jijun Shui, Ershun Du, Qin Wang +1
This work proposes a non-iterative optimal dispatch method coordinating a distribution system with microgrids, using a power-cost-emissions equivalent projection. It avoids iterative computation while balancing grid operation and emissions …
Peer-reviewed🇨🇳 ChinaJournalBuildings2026#Energy TransitionDOI
Neighborhood-Scale Built Environment and Low-Carbon Travel: Empirical Evidence from 108 Communities in Beijing’s Fengtai District
Shuyu Wang, Tian Chen, Yangzixian Yang +1
Using 108 communities in Beijing's Fengtai District, this study examines how neighborhood built-environment attributes relate to residents' travel-related carbon emissions. Combining hierarchical regression, subgroup regression, and random …
CNJournalJournal of Physics Conference Series2026#Energy TransitionDOI
Low-carbon optimal scheduling of integrated energy systems incorporating V2G and ice-storage air conditioning
Xiaoming Wang, Jinjin Ding, Wenguang Zhao +1
This paper proposes a low-carbon optimal scheduling method for integrated energy systems (IESs) integrating ice-storage air conditioning and vehicle-to-grid (V2G) interaction of EVs and hydrogen vehicles. Monte Carlo sampling of 1000 EVs an…
Peer-reviewedJournalRenewable and Sustainable Energy Reviews2026#Energy TransitionDOI
AI-driven multi-objective optimization and multi-criteria decision-making for integrated energy systems for low-carbon transitions: A critical review and perspective
Yitong Dong, Jiashu Kong, Pow‐Seng Yap +1
This critical review examines how AI-driven multi-objective optimization and multi-criteria decision-making are applied to integrated energy systems for low-carbon transitions. It synthesizes methods for designing and operating renewables-h…
Peer-reviewedJournalMaterials Reports Solidwaste and Ecomaterials2026#Energy TransitionDOI
Tailings as low-carbon supplementary cementitious materials: A critical review
Leyu Hu, Zhijie Pi, Nan Zhang +4
This review examines tailings as supplementary cementitious materials (SCMs) to partially replace Portland cement, addressing low reactivity, rheology issues, missing standards, and secondary pollution. It integrates physicochemical propert…
Peer-reviewed🇨🇳 ChinaJournalBuildings2026#Energy TransitionDOI
Study on the Evaluation Index System for Low-Carbon Neighborhoods
Lining Zhou, Yiqiang Jiang, Qingqin Wang +4
The study builds a two-level low-carbon neighborhood indicator system (6 domains, 22 indicators) using word-frequency analysis and expert validation, weighting them via AHP and aggregating into a composite Carbon-reduction Index (CCI). Appl…
Peer-reviewed🇨🇳 ChinaJournalJournal of Agricultural Economics2026#Energy TransitionDOI
Low‐Carbon Transition in China's Agrifood System: Potential, Pathways and Global Implications
Yumei Zhang, Jingjing Wang, Zhang Ruizeng +2
China's agrifood system accounts for 13% of global agrifood emissions and could rise to 1.83 Gt CO2eq by 2060 under baseline trends. Combined measures—productivity gains, low-carbon tech, food loss reduction, structural shifts, and energy t…
Peer-reviewed🇨🇳 ChinaJournalInternational Review of Economics & Finance2026#Energy TransitionDOI
Digital Economy, Green Innovation, and Carbon Neutrality: Evidence from Advanced Economies Using MMQR and Panel Smooth Transition Regression
Xuanming Fu, Qian Xue, Pang Wan
Using 2003–2023 data from eight major economies, this study applies MMQR and Panel Smooth Transition Regression to test how the digital economy and green innovation shape carbon neutrality. The digital economy improves carbon neutrality acr…
Peer-reviewed🇨🇳 ChinaJournalJournal of Applied Economics and Policy Studies2026#Energy TransitionDOI
Economic effects of the transformation and upgrading of energy-intensive industries in the context of carbon neutrality
Juntao Peng
This study analyzes the economic effects of transforming China's energy-intensive industries (steel, chemicals, building materials, non-ferrous metals) under carbon neutrality. It identifies three transmission mechanisms—technological innov…
Peer-reviewed🌍 GlobalJournalEnergy & Environment2026#Energy TransitionDOI
Evaluating the impact of BRI toward greener energy and carbon neutrality
Alvina Yee Ling Yii, Jia Jun Loke, Siok Kun Sek +2
Using quantile treatment effect models on 90 BRI countries (1995–2021), this study finds that the Belt and Road Initiative reduced CO2 emissions and boosted renewable energy consumption, with stronger effects in high-emission and high-renew…
Peer-reviewedJournalProcesses2026#Energy TransitionDOI
Assessing the Sustainability Transition of Mexico’s Electricity System: Life-Cycle Impacts, Energy Indices, and Resource Use
Diana Karen Zavala-Vega, Edgar Geovanni Mora-Jacobo, Carlos Antonio Padilla-Esquivel +2
This study assesses Mexico's electricity system via life-cycle assessment and resource analysis, introducing four novel energy sustainability indices derived from EI99H damage results. Fuel oil, water, and biomass improved from 2013–2023, w…
Peer-reviewed🌍 GlobalJournalGeoforum2026#Energy TransitionDOI
“We can’t have people begging in the street, when we have oil.” Moral entanglements and gestural politics of Africa’s green energy transition
Nelson Oppong
Using Ghana as a case study, this article examines why a new oil producer simultaneously pursues fossil-fuel extraction and ambitious energy transition agendas. Drawing on interviews, ethnography, and policy analysis (2023-2025), it argues …