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 1–20 of 3857 papers
Soroush Zarghami Dastjerdi, D. Avesani, A. Galletti +1
Italian pumped-storage hydropower plants have an average absorption capacity of 5.4 TWh/year, limited by water availability, but only 12% was used in 2024. Using this as an upper bound, the Northern Bidding Zone can integrate solar PV up to…
Junhui Li, Qinglin Sui, Wenbo Si +5
Proposes a collaborative optimal dispatch strategy for multiple wind-PV-storage systems to address energy storage investment cost recovery. Integrates storage-assisted dispatch tracking and frequency regulation, with a bidding-dispatching-s…
Dragi Peltechki, G. Jovanov, Stojance Mijalkovski
North Macedonia has potential in European critical raw materials (CRMs) but is constrained by institutional fragmentation, prolonged permitting, public distrust, and carbon-intensive energy. Using a PESTLE framework and semi-quantitative re…
Weiwei Yao, Qi Wang, Shun Yin
This paper examines design-based carbon reduction strategies for green infrastructure, specifically cycling stations, under the dual-carbon background. It focuses on the potential for carbon emission reduction through infrastructure design,…
M. Fąfara, Julia Mytnik, Ł. Łukaszewski
This study integrates BIM and LCA to assess environmental impacts of revitalizing a post-industrial site in Poland. It quantifies emissions from demolition and new material use versus reuse, showing significant reductions through circular s…
Yigit Yardimci, Emre Kuruçay, Ilker Erdogmus
This study compares deep Top-Down and shallow Cut-and-Cover metro stations on Istanbul's M7 line, using BIM-LCA and a Spatiotemporal Disruption Index (SDI) to assess embodied environmental impacts and surface occupation trade-offs. The deep…
Mohammad Salem, N. Ali
This paper proposes using PEM electrolyzers in green hydrogen facilities as grid-forming assets with virtual synchronous machine control to provide synthetic inertia in 100% renewable islanded microgrids. Simulations show a 68% reduction in…
Aikaterini Tsoulou, Konstantinos Christodoulou, I. Kookos
This study optimizes a grid-connected renewable energy system with green hydrogen storage for a public building, using MILP with discrete equipment capacities. Applied to a Greek university building, it minimizes annual cost and CO2 emissio…
Mann Parikh, Olivia Kosmala, Aditya K Khetan
India's net-zero pledge requires a clean cooking transition. Despite LPG adoption, sustained use is limited due to costs and biomass stacking. Pairing induction cooking with iron cookware can reduce household air pollution and anaemia while…
Sibo Wang, Yiheng Bian, Gengfeng Li +1
This paper proposes a dual-layer optimization model for economic dispatch of multi-microgrid systems under coupled electricity-CET-TGC markets. Using a modified state-based potential game, it increases social welfare by 23.15% and reduces r…
Kun Bo, Linlin Cai, Dong Zhang
This study develops a dynamic TCO model for a 15,000 TEU methanol dual-fuel container ship on the Ningbo-Zhoushan-Valencia corridor, integrating EU ETS carbon costs and FuelEU Maritime compliance. Under baseline assumptions, the 15-year pre…
Yucai Bai, Beibei Yao, Xiahong Shi +5
This study develops nonlinear prediction models integrating economic and demographic drivers to dynamically assess CO2 and air pollutant emissions from on-road mobile sources in Guangxi, China. Combining environmental tax rates and carbon t…
Iris Cuevas Martínez, Antonio J. Jara, Jesualdo Tomás Fernández Breis
This paper presents envair360, a Physical Intelligence architecture integrating traffic, meteorological, and chemical models to design, operate, and verify low-emission zones (LEZs). It introduces an evidence-gated methodology with data gov…
Yuhan Yang
This paper proposes a legal framework for new energy storage in China's power industry under the 'dual carbon' goals. It constructs an indicator system covering technical standards, market mechanisms, regulatory frameworks, and policy suppo…
Xiaoning Wang, Yamei Chen, Qiong Chen +4
This study analyzes the driving factors and decoupling of energy-related CO2 emissions in Hainan Province, China, from 2007 to 2022 using LMDI decomposition and the Tapio model. Economic growth and population increase drive emissions, while…
Ting Zeng, Y. Chen, Liuhuo Wang +4
This study constructs a low-carbon evaluation index system for overhead transmission lines in China, covering 14 indicators across four life-cycle stages (design, construction, operation, recycling), and proposes a hybrid model combining AH…
Renita Manurung, Sri Zahrani Dwi Mauliyah Parinduri, Alwi Gery Agustan Siregar
This systematic review evaluates waste-derived silica catalysts for low-carbon biodiesel production, focusing on performance, reusability, and circular-economy potential. Functionalization and optimization of reaction conditions enhance yie…
Anakha Binulal, Beno Wincy Winsly
This review compares natural rubber drying technologies, from traditional polluting smokehouses to low-carbon, climate-resilient solar-integrated systems. It evaluates the potential for reducing environmental impact and improving energy eff…
Yi Lu, Chengyuan Xiong, Yaxuan Qiu +2
This study proposes a sustainable framework for soil stabilisation by integrating strength, durability, and stabiliser type. A new index, Icse, reflects the efficiency of strength development relative to CO2 emissions and dosage. Results sh…
Lanyi Zhang, Xie Qinghua, Zhengyi Xie +3
This study assesses the low-carbon transition in China's diesel freight transport using spatiotemporal decoupling analysis. It examines the relationship between emissions and economic growth across regions and time, identifying priority are…
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