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🇨🇳 ChinaJournalEnvironmental Impact Assessment Review2026#EV & TransportDOI
Comparative life cycle assessment and carbon footprint of sodium-ion and Lithium Iron phosphate batteries: A case study in China
Shuai‐Kang Liu, Er-Dan Wang, Chen-Ning Deng +4
This study compares layered-oxide sodium-ion and LFP batteries under Chinese manufacturing conditions using cradle-to-gate LCA with a 1 kWh pack functional unit. Sodium-ion batteries show 27.3% lower total environmental impact and 24.9% low…
Peer-reviewed🇨🇳 ChinaJournalSmart power & energy security.2026#EV & TransportDOI
Low Carbon Oriented Macro-Meso Coupled Dynamic Optimal Traffic Power Flow under Mixed Vehicles
Mofei Zhou, Haoyuan Yan, Tianyang Zhao +2
This study formulates a Dynamic Optimal Traffic-Power Flow (DOTPF) problem to optimize low-carbon operation of urban coupled transportation-power systems with mixed EV and combustion fleets. It integrates a time-space network with queuing, …
Peer-reviewedJournalApplied Energy2020#EV & TransportDOI
Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation
Tu R.
This work optimizes EV charging schedules to minimize marginal GHG emissions from power generation. By shifting charging to hours when grid marginal emissions are lowest, it shows how EV load can be aligned with cleaner generation. It links…
Peer-reviewed🇨🇳 ChinaJournalBuildings2026#EV & TransportDOI
Multi-Objective Capacity Configuration of PV-Energy Storage Systems in Low-Carbon Buildings with Electric Vehicles: A Bi-Level Optimization Approach
Yifan Zhang, Taobin Wang, Lili Liu +3
This study proposes a multi-objective capacity optimization method for PV-storage systems in low-carbon buildings, leveraging the flexibility of orderly EV charging. A bi-level model is developed: the upper level minimizes the operator's ec…
Peer-reviewedJournalEnergy Conversion and Management X2025#EV & TransportDOI
Well-to-wheel greenhouse gas emissions comparison of electricity and biomethane urban buses
Noussan M.
This study compares well-to-wheel greenhouse gas emissions of electricity- versus biomethane-powered urban buses, quantifying decarbonization potential across fuel supply and vehicle operation. It offers evidence for fleet procurement and f…
Peer-reviewed🇺🇸 USAJournalEnvironmental Science and Technology2024#EV & TransportDOI
Electrification of Transit Buses in the United States Reduces Greenhouse Gas Emissions
Martinez S.S.
This study analyzes the greenhouse gas emission reductions from electrifying transit buses in the United States. Accounting for grid mix and operating conditions, it shows that replacing diesel buses with electric ones lowers emissions. It …
Peer-reviewedJournalSustainable Energy Grids and Networks2023#EV & TransportDOI
A self-sustained EV charging framework with N-step deep reinforcement learning
Sykiotis S.
Proposes a self-sustained EV charging framework controlled via N-step deep reinforcement learning. It likely optimizes charging schedules against renewable supply and grid load. Without an abstract, ESG/disclosure linkage and quantitative r…
Peer-reviewedJournalAlexandria Engineering Journal2023#EV & TransportDOI
Electric vehicle (EV) and driving towards sustainability: Comparison between EV, HEV, PHEV, and ICE vehicles to achieve net zero emissions by 2050 from EV
Veza I.
This study compares EVs, HEVs, PHEVs, and ICE vehicles to assess pathways toward net-zero emissions by 2050. It frames how differing degrees of electrification affect emission reduction in the transport sector. Without an abstract, methodol…
Peer-reviewedJournalSustainable Energy Technologies and Assessments2026#EV & TransportDOI
Hybrid bonds and electric vehicle stock: Quantile-on-Quantile evidence from leading EV economies
Anser M.K.
This study applies a Quantile-on-Quantile approach to examine the relationship between hybrid bond issuance and electric vehicle (EV) stock across leading EV economies. It captures how the finance–EV nexus varies across quantiles of both va…
Peer-reviewedJournalTransportation Research Part D Transport and Environment2016#EV & TransportDOI
Carbon and energy footprints of electric delivery trucks: A hybrid multi-regional input-output life cycle assessment
Zhao Y.
This study quantifies the carbon and energy footprints of electric delivery trucks using a hybrid multi-regional input-output life cycle assessment. It estimates supply-chain emissions across manufacturing, electricity supply, and operation…
Preprint🇪🇺 EuropeResearch Square2026#EV & TransportDOI
Cost, volumetric energy density, and fast-charging projections of Na-ion and Li-ion batteries from a European perspective
Jonas Sprengelmeyer, Soeren Dreyer, Marcel Weil +2
A European-perspective projection comparing Na-ion and Li-ion batteries on cost, volumetric energy density, and fast-charging performance. Co-authored by Volkswagen Group and KIT, it assesses the techno-economics of next-generation EV batte…
Peer-reviewedJournalInternational Journal of Sustainable Transportation2024#EV & TransportDOI
Low emission scenarios with shared and electric cars: Analyzing life cycle emissions, biofuel use, battery utilization, and fleet development
Berg Mårtensson H.
This paper analyzes low-emission transport scenarios combining car-sharing and electric vehicles, examining life-cycle emissions, biofuel use, battery utilization, and fleet development. It contributes a quantitative assessment of how share…
Peer-reviewedConferenceIEEE Vehicular Technology Conference2022#EV & TransportDOI
Quantitative Assessment of CCAM Applications on Greenhouse Gas Emissions
Partani S.
This paper quantitatively assesses how Cooperative Connected and Automated Mobility (CCAM) applications affect greenhouse gas emissions. Without an available abstract, the specific methods and results remain unclear, but the work estimates …
Peer-reviewedJournalEnergy Sources Part A Recovery Utilization and Environmental Effects2023#EV & TransportDOI
A cost-effective solution to estimate fuel consumption and greenhouse gas emissions for motorcycles: a case study
T. Nguyen Y.L.
A case study proposing a cost-effective method to estimate fuel consumption and greenhouse gas emissions from motorcycles. It targets a transport segment where emissions data remain sparse compared with passenger cars, aiming to quantify em…
Peer-reviewedCNJournalTransport Policy2026#EV & TransportDOI
Preference for electric vehicles among young adults: A discrete choice analysis in China
Qin S.
A discrete choice study of EV preferences among young adults in China. It quantifies how attributes such as price, range, charging infrastructure and brand shape purchase decisions. The findings inform EV diffusion policy and product strate…
Peer-reviewedConferenceProceedings of the ASME Turbo Expo2024#EV & TransportDOI
TOWARD NET ZERO: AN ENGINE ELECTRIFICATION STRATEGY APPROACH OF FUEL CELL AND STEAM INJECTION
He Z.
A study on an engine electrification strategy combining fuel cell and steam injection toward net zero. Without an abstract, details are unclear, but it appears to address transport decarbonization via hydrogen and electrification technologi…
Peer-reviewed🌍 GlobalJournalSystems2026#EV & TransportDOI
An AHP-Based Decision-Support System Integrating Port–Road Operational Priorities with Multi-Objective Electric Vehicle Routing
Jirawan Niemsakul, Sermpong Niemsakul, Hartmut Zadek +2
This study develops an AHP-based decision-support system for the Multi-Objective Electric Vehicle Routing Problem in port–road logistics. Expert-derived priority weights for cost, environmental impact, energy efficiency, and operational wel…
Peer-reviewedConferenceTransportation Research Procedia2026#EV & TransportDOI
Electrifying Saudi Road Freight: A Total-Cost-of-Ownership based Optimization Analysis
Zhai Y.
This study applies a total-cost-of-ownership (TCO) optimization analysis to assess the electrification potential of road freight in Saudi Arabia. It evaluates how vehicle prices, fuel costs, charging infrastructure, and driving distances sh…
Peer-reviewed🇺🇸 USAJournalResearch in Economics2017#EV & TransportDOI
The private and social consequences of purchasing an electric vehicle and solar panels: Evidence from California
Delmas M.A.
An empirical study using California data on the private and social consequences of household purchases of electric vehicles and solar panels. It compares household economic returns with societal benefits such as GHG reductions, offering imp…
Peer-reviewedJournal2026 5th MEC International Conference on Advanced Data Analytics and Artificial Intelligence for Sustainable Smart Cities (ICADAAI)2026#EV & TransportDOI
AI-Driven Sustainable EV Infrastructure Planning Using Geopolymer Concrete: A Review Framework for Smart Cities
Gugulothu Vikas, Mohammed Jalaluddin, Kiran Kumar Poloju +4
This review proposes a smart-city framework combining AI-driven EV charging infrastructure planning with low-carbon geopolymer concrete. It targets urban decarbonization and embodied-emission reduction in construction simultaneously. No abs…