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.
JournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
Supplementary Data and Robustness Analysis for "A Price-Weighted and Lifecycle-Adjusted Framework for Critical Mineral Supply-Risk Exposure in Low-Carbon Energy Technologies"
Mojawirahmad Sadat
This supplementary document provides robustness checks and additional data for a framework that assesses critical mineral supply-risk exposure in low-carbon energy technologies using price-weighting and lifecycle adjustment. Sensitivity ana…
Peer-reviewed🇨🇳 ChinaJournalMaterials2026#Energy TransitionDOI
Preparation of Low-Carbon Ferroaluminate Cement with High Iron Red Mud and Multi-Solid Wastes: Mineral Phase Optimization and Hydration Mechanism
Shanliang Ma, Xiaoming Liu, Zengqi Zhang +2
This study developed a low-carbon ferroaluminate cement (SWFAC) using high iron red mud and multiple industrial solid wastes. By optimizing calcination temperature and raw material composition, the mineral phases (C4A3$, C4AF) were controll…
Peer-reviewed🇨🇳 ChinaJournalJournal of Saudi Chemical Society2026#AI × ESGDOI
Low carbon advancement through cleaner production: gas extraction simulation and machine learning model prediction of coal rock gas volume
Junjie Cai, Xijian Li, Shoukun Chen
This study proposes a method combining COMSOL multi-physics simulation and machine learning to accurately predict coal rock gas extraction volume, targeting the Qinglong Coal Mine in Guizhou. The XGBoost-LSTM hybrid model achieved the best …
Peer-reviewedJournalConstruction and Building Materials2026#OtherDOI
Acoustic emission investigation of cryogenic bond behaviour between steel bar and geopolymer concrete: Implications for the durability of low-carbon concrete
Jinxuan Song, Hongen Zhang, Yuqi Tang +6
This study investigates the bond behavior between steel bars and geopolymer concrete under cryogenic conditions using acoustic emission, providing insights into the durability of low-carbon concrete. Geopolymer concrete offers CO2 reduction…
Peer-reviewed🇪🇺 EuropeJournalDiscover Sustainability2026#Energy TransitionDOI
Analysis of multi-objective optimization models for sizing solar photovoltaic systems under a low-carbon grid scenario
Santiago Valencia Gonzalez, Joakim Munkhammar, Andreas Theocharis +1
This study analyzes trade-offs between technical/economic and environmental objectives in sizing building solar PV systems. Using NSGA-II, three multi-objective models are compared under Swedish low-carbon grid conditions. Results show that…
Peer-reviewedJournalInternational Journal of Computer Information Systems and Industrial Management Applications2026#Energy TransitionDOI
From Uncertain Capacity to Low Carbon Pathways: A Trapezoidal Fuzzy Linear Programming Approach for India’s Power Sector
A. Vinay Bhushan, Chetan V. Hiremath, Mahantesh Halgatti +2
This paper applies trapezoidal fuzzy linear programming to India's power capacity planning, modeling uncertainty in capacity expansion. It derives a Pareto frontier between maximizing electricity generation and minimizing lifecycle CO2 emis…
Peer-reviewed🇨🇳 ChinaJournalApplied Energy2026#Energy TransitionDOI
Entropy and explainable AI based risk adaptive MPC for low-carbon integrated energy system scheduling
Haiteng Han, Simin Zhang, Yue Zhou +1
This paper proposes a risk-adaptive model predictive control (MPC) method using entropy and explainable AI for scheduling low-carbon integrated energy systems. It aims to balance economic efficiency and low-carbon operation under uncertaint…
Peer-reviewed🌍 GlobalJournalInternational Journal of Sustainable Energy2026#AI × ESGDOI
Low-carbon energy production for sustainable development: a bibliometric analysis and SWOT appraisal of artificial intelligence contributions
Oyetola Ogunkunle, Emmanuel Uche, Kinsgley I. Okere +1
This paper systematically evaluates AI contributions to low-carbon energy production using bibliometric analysis and SWOT appraisal. It identifies research trends, key themes, and strengths, weaknesses, opportunities, and threats, offering …
Peer-reviewed🇨🇳 ChinaJournalThe Engineering Economist2026#Carbon PricingDOI
Low-carbon retrofit strategies for BF-BOF integrated steel plants considering carbon price dynamics: An analysis under different budget scenarios
Xue Meng, Jie Ren, Xiaoxia Huang
This paper develops an optimization model for low-carbon retrofit strategies in BF-BOF integrated steel plants under different budget levels, incorporating carbon price dynamics based on expert forecasts and market volatility in China's car…
Peer-reviewedJournalScientific Reports2026#AI × ESGDOI
Multicollinearity-reduced conditional variational autoencoder for low-carbon dispatch of industrial energy systems
Bing Zou, Xiang Yang, Yuhan Jin +1
This study proposes a multicollinearity-reduced conditional variational autoencoder (MCLRCVAE) to generate joint wind-solar scenarios for low-carbon dispatch of industrial integrated energy systems. Representative scenarios are selected via…
Peer-reviewedJournalTNO Repository2026#Energy TransitionDOI
Move towards a circular economy and a low-carbon industry—a model comparison approach
M.T. Lotz, V. Daioglou, F. Dalla Longa +1
This paper analyzes the transition to a circular economy and low-carbon industry through a model comparison approach. It explores potential for industrial restructuring and resource efficiency, offering implications for policy and corporate…
Peer-reviewed🇨🇳 ChinaJournalACS Sensors2026#Energy EfficiencyDOI
Reusable Modular Wearable Bioelectronics for Low-Carbon Task-Adaptive Health Monitoring
Xianyu Wang, Xuyang Feng, Haoyang Wang +3
This paper presents a reusable modular wearable bioelectronics platform that decouples a common digital back end from interchangeable analog front-end modules, enabling task-adaptive reconfiguration. Manufacturing-stage carbon-footprint ana…
Journal2026#Energy EfficiencyDOI
Computational Design for Low-Carbon and Climate-Responsive Architecture and Urban Environments
(著者不明)
This paper explores computational design methods for low-carbon and climate-responsive architecture and urban environments. While specific details are unavailable, it likely focuses on optimizing energy efficiency and climate adaptation in …
Peer-reviewed🇨🇳 ChinaJournalEnergies2026#Energy TransitionDOI
Low-Carbon Economic Dispatch of Integrated Energy Systems Considering Carbon Capture Decoupling and V2G Collaboration
Hongyu Zhou, Gang Wang, Zhen Liu +4
This paper proposes an electric-carbon dual time-shift coordinated dispatch for integrated energy systems, combining solvent-storage-assisted carbon capture power plants and EV aggregators. A 15-minute MILP model with Monte Carlo EV uncerta…
Peer-reviewedCNJournalJournal of Humanities and Cultural Studies2026#Energy TransitionDOI
Research on Practical Development Path of Full Coverage of Silicon-based Economy under the Background of Low-carbon Transition of Carbon-based Industries
Lu Lu
This study explores the practical development path for nationwide expansion of China's silicon-based economy under low-carbon transition of carbon-based industries. Using qualitative literature review and conceptual analysis, it proposes a …
Peer-reviewed🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#PolicyDOI
Urban low-carbon transition and tourism competitiveness: a quasi-natural experiment
Yan Zhang, Yangyang Zhao, Jiekuan Zhang
Using a time-varying DID model on panel data from 272 Chinese cities (2005-2019), this study treats China's low-carbon city pilot policy as a quasi-natural experiment and finds that urban low-carbon transition significantly enhances urban t…
Peer-reviewedJournalJournal of Environmental Assessment Policy and Management2026#Energy TransitionDOI
Low-Carbon and Labour-Sensitive Agricultural Transition Priorities in Indonesia
Putri Meliza Sari, Mega Amelia Putri, Pangeran Aristofanes Musthafa +1
This study proposes an integrated environmental assessment and accounting framework to support low-carbon, labour-sensitive agricultural transition in Indonesia. Using EXIOBASE MRIO data, it evaluates 16 agricultural sectors across five ana…
Peer-reviewed🇪🇺 EuropeJournalWater2026#Carbon AccountingDOI
Share of Biogenic Carbon in Sewage Sludge: Prerequisite for Achieving Carbon Neutrality
Jaroslav Moško, Matěj Hušek, Anna Mágrová +4
This study determines the biogenic carbon fraction of sewage sludge as a prerequisite for achieving carbon neutrality in wastewater treatment plants (WWTPs) under EU Directive 2024/3019. Radiocarbon analysis of 15 anaerobically digested slu…
Peer-reviewedJournalEnvironmental Economics and Policy Studies2026#Carbon PricingDOI
Market reaction to Carbon Credit Trading Scheme: Do ESG and Environmental performance matters?
Priyanka Priyadarshani, Sima Torkzadeh, Dharen Kumar Pandey
This paper analyzes market reactions to the announcement of a Carbon Credit Trading Scheme (CCTS), examining whether firms' ESG scores and environmental performance influence investor responses. Using an Indian context, it aims to empirical…
Peer-reviewed🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#Carbon PricingDOI
Does market-based environmental regulation enhance enterprises’ digital transformation? Evidence from carbon emission trading system
Yuanzhao Li, Yingxu Shen, Mengyang Hou +4
Using panel data of Chinese listed firms from 2007-2022, this study employs a multi-period DID model to examine the impact of the carbon emissions trading system (CETS) on enterprise digital transformation (EDT). Results show CETS significa…
