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-reviewedConferenceTehnicki Glasnik2022#EV & TransportDOI
Greenhouse Gas Emissions of Electric Cars - A Comprehensive Evaluation
Hirz M.
A comprehensive evaluation of greenhouse gas emissions from electric cars, likely covering lifecycle emissions from manufacturing through use, including grid mix effects. It speaks to the core debate on how power sources and battery product…
Peer-reviewedJournalEnvironmental Science and Technology2021#EV & TransportDOI
Charging Strategies to Minimize Greenhouse Gas Emissions of Electrified Delivery Vehicles
Woody M.
This study examines how charging strategies for electrified delivery vehicles affect life-cycle greenhouse gas emissions, accounting for the time-varying carbon intensity of the electricity grid. It shows that when and how fleets charge mat…
🇪🇺 EuropeSAE technical paper series2026#EV & TransportDOI
Cost and Emission Aware Strategic Optimization: A Fleet-Level Tool to Support Scenario-Oriented Design
L. Bartolucci, E. Cennamo, S. Cordiner +5
This paper presents a fleet-level optimization tool that jointly determines BEV configuration, fleet size, charging infrastructure, and charging schedules for logistics operators. Comparing cost-minimizing and CO2-minimizing scenarios, the …
Peer-reviewedCNJournalDOAJ (DOAJ: Directory of Open Access Journals)2026#EV & TransportDOI
Optimization‑and‑scheduling method of virtual power plant with V2G charging robot participation based on carbon peaking and carbon neutrality goals
Wang Zhiqiang
This paper proposes an optimal scheduling model for a virtual power plant (VPP) integrating V2G charging robots and carbon trading under carbon peaking/neutrality goals. It jointly optimizes EV charging/discharging costs, carbon trading cos…
Peer-reviewedJournalSANGARU JOURNAL OF ENGINEERING AND INNOVATION2026#EV & TransportDOI
CLEAN MOBILITY IN NIGERIA: CHALLENGES, OPPORTUNITIES, AND PATHWAYS TO SUSTAINABLE TRANSPORT
Engr. Henry Azuka Ifeachor
This paper examines clean mobility in Nigeria—EVs, CNG, public transit, and non-motorized transport—using policy analysis, stakeholder interviews, and 2020–2025 secondary data. Under 0.5% of registered vehicles are electric and charging inf…
Peer-reviewed🇪🇺 EuropeJournaleceee Summer Study proceedings2026#EV & TransportDOI
Energy savings potential and targeting for battery electric vehicle grants in Ireland
Joel Franklin, Shannon Finnan
This study uses a January 2025 survey to quantify the energy and carbon savings from Ireland's fixed €3,500 BEV purchase grant relative to a reference vehicle. It accounts for grid carbon intensity and behavioural changes in annual mileage,…
Peer-reviewed🌍 GlobalJournalInternational Journal For Multidisciplinary Research2026#EV & TransportDOI
The Bus as Climate Infrastructure: Comparing Electric-Bus Transitions in India, Europe, and the United States
Maulsri Jha
This article proposes a 'Bus Climate Infrastructure' framework and compares electric-bus transitions in India, Europe, and the US. It finds success depends less on fleet targets than on institutional capacity to coordinate vehicles, depots,…
Preprint🇪🇺 EuropeZenodo2026#EV & TransportDOI
Linear Programming-Based Design and Techno-Economic Analysis of an Airport Landside Electromobility Hub
Dabcevic, Zvonimir, Grden, Luka, Deur, Josko
This paper presents a coordinated design and techno-economic framework for an airport electromobility hub integrating electric bus and customer EV charging. An LP-based charging approach cuts weekly electricity costs by up to 8% and raises …
Peer-reviewed🇨🇳 ChinaJournalResources Conservation and Recycling2026#EV & TransportDOI
Spatiotemporal analysis of critical materials demand and embodied carbon emissions of electric vehicle batteries across Chinese provinces
Ruchun Li, Yao Wang, Asaf Tzachor +1
A spatiotemporal study of critical-material demand and embodied carbon emissions from EV batteries across Chinese provinces. It maps regional differences in demand and emissions, linking battery supply-chain decarbonization with resource co…
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…