This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
Showing 61–80 of 100 papers
Elangovan R.
This paper presents a case study comparing energy use and greenhouse gas emissions of diesel vs. electric trucks for food distribution in New York City's Gowanus district. It finds that electric trucks significantly reduce emissions, highli…
Folęga P.
This study evaluates the greenhouse gas emissions of electric buses charged with renewable energy in Poland. It finds that using renewables significantly reduces emissions compared to conventional diesel buses. Even considering Poland's cur…
Chen J.
Analyzes vehicle-to-home (V2H) charging across the USA, showing that V2H can simultaneously reduce electricity costs and greenhouse gas emissions, with regional variations highlighted.
Sehgal A.
This paper uses simulation modeling to assess the impact of electric vehicle (EV) adoption on greenhouse gas emissions in the transportation sector. It quantifies emission reductions under various adoption scenarios, providing insights for …
darwisman, samuel
This paper systematically analyzes the strategic deployment of BEVs, HEVs, PHEVs, and hydrogen fuel cell vehicles in Indonesia to achieve net-zero by 2060. It highlights leveraging Indonesia's dominant nickel reserves for battery supply cha…
Benjamin Reuter
This study simulates the temporal dynamics of greenhouse gas emissions during the transition from internal combustion engine to battery electric vehicles in Germany's passenger car fleet. It finds a 10-20 year time lag between changes in ne…
Dr. D. SUMATHI VIJAYALAKSHMI R
This study analyzes the role of electric vehicles (EVs) in reducing carbon emissions based on a survey of 50 EV users in Chennai, India. It identifies purchase motivations and challenges (infrastructure, policy) and discusses the potential …
Qianqian Yang, Quan Yuan, Qiangqiang Yuan +5
This paper empirically demonstrates that the transition to new energy vehicles (NEVs) reduces urban air pollution and associated mortality in China. It provides evidence on the health co-benefits of EV adoption, linking decarbonization to p…
Haozheng Yu, Congying Wu, Yu Liu
This paper provides a comprehensive review of Vehicle-to-Grid (V2G) integration into smart energy systems. It analyzes key enabling technologies (bidirectional charging, aggregation, communication, data-driven control) from a system-level p…
G. Sai Kumar, N. Akhil, B. Pavan +5
This comprehensive review traces the evolution of battery technologies for electric vehicles, from lead-acid to lithium-ion and beyond. It covers key breakthroughs, challenges in energy density, cost, and environment, and discusses future p…
Marco Miotti, Jessika E Trancik
This study evaluates how electricity mix, driving behavior, climate, and prices affect lifecycle emissions and costs of BEVs and PHEVs across the US. It finds that BEVs save 40-60% emissions in most locations, but variability from individua…
K. Srilakshmi, P. Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri
This paper applies the Osprey Optimization Algorithm (OOA) to optimize parameters of a UPQC for grid-connected systems integrating wind, solar, and EVs. It also employs Levenberg-Marquardt backpropagation neural network control and a novel …
Amany El-Zonkoly
This paper proposes an optimal energy management strategy integrating PV systems and green hydrogen into the electrified urban transportation system of Alexandria, Egypt. A modified multi-agent reinforcement learning approach handles demand…
Xieyu Hu, Y Huang, Yilin Huang +3
This study proposes a collaborative optimization method integrating virtual power plants (VPPs) and carbon trading for electric vehicle battery swapping stations (BSSs). By dynamically adjusting charging and discharging schedules, the appro…
Mahmoud Shaat, Farhad Oroumchian, Zina Abohaia +1
This study develops a scenario-based framework to estimate EV charging infrastructure needs in Abu Dhabi through 2050, comparing two adoption pathways. The Thriving scenario, despite higher capital investment, yields better utilization, spa…
S. Walgama, Kasun Hewage, E. Bakhtavar +2
This study evaluates the environmental, economic, and social performance of EV charging strategies in solar-integrated net-zero energy buildings using a life cycle sustainability assessment framework. Analyzing a Canadian case, it finds tha…
Zixiu Qin, Hai Wei, Xiaoning Deng +2
This paper proposes a dynamic pricing optimization model for PV-EV charging stations using Stackelberg game theory, incorporating user psychology and response deviations. Simulation results show PV self-consumption reaches 90.5%, load shift…
Sirigiri Lasya, Seelam Sreekanth, Karnamkota Siva +1
This paper analyzes the current status and challenges of electric vehicle (EV) adoption in India. It finds that the FAME II scheme significantly boosted EV uptake, especially in two- and three-wheelers, but high costs and infrastructure gap…
Afroza Akhter
This thesis proposes a design and policy framework for climate-optimized EV battery systems in Bangladesh, addressing thermal stress from tropical climate. It compares battery thermal management systems (air cooling, liquid cooling, phase-c…
Hongyu Wang, Zhiyu Zhao, Kai Cui +4
This paper proposes a 'Prediction-Optimization' closed-loop framework for low-carbon EV fleet charging. A hybrid forecasting model (VMD-BSLO-CTL) integrating VMD and CNN-Transformer-LSTM is built and validated on UK National Grid data. A mu…
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