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.
Showing 381–400 of 847 papers
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…
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…
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…
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…
guoxiang hu, Linjun Shi, Feng Wu +2
This study proposes a multi-timescale low-carbon economic dispatch framework for integrated energy systems, integrating carbon-energy trading and seasonal carbon-pressure signals. Using IGA and CPLEX, it optimizes a park-level IES, achievin…
R. Priyanka, Uday Shashikumar, Pei-Chien Tsai +6
This systematic review identifies feedstock acquisition instability and lack of methodological standardization as critical barriers to biochar commercialization, beyond pyrolysis optimization. It underscores the need for supply chain and qu…
Geoffrey K. Whittle-Walls, Ann L. Miracle, Bruce K. McDowell
This paper analyzes the feasibility of energy transitions from a temporal perspective, arguing for the importance of temporal capacity in policy-making. While specific methods are unclear, it offers theoretical and policy contributions focu…
Johanna Kucknat, Sebastian Gölz, Cosima-Suleika Schulze +1
This paper examines the Klimaquartier Waldsee project in Freiburg, an urban experiment fostering citizen engagement for the heating transition. Through co-learning and co-creation formats, it identifies barriers property owners face and pro…
Indra Purnama, Anisa Mutamima, Miftahul Haq +5
This review argues that geopolitical energy disruptions become embedded in the fiscal systems, resource frontiers, and governance of Global South economies, not just short-term shocks. It proposes a structural energy vulnerability framework…
F. Eckl, A. Moita, T. Sousa +1
This study develops a bottom-up mass and energy balance model for electrified steelmaking using EAF with H2-DRI and scrap. It quantifies how H2-DRI ratio affects electricity demand, CO2 emissions, and oxygen management, showing up to 95% em…
Xiang Liu, Zhida Jin, Yunyun Wu +3
This study empirically analyzes the impact of digitalization on trade-embedded domestic energy consumption (TDEC) using panel data from 43 economies. Constructing a novel TDEC indicator via value-added decomposition, it finds that a 1% incr…
Nianxin Liu, Liang Zhao
This paper proposes a data-driven stochastic robust optimization approach for low-carbon retrofit of industrial utility systems under multiple uncertainties. It balances cost and carbon emission reductions while considering uncertainties in…
Momir Sjerić, Ivana Jovanović, Ailong Fan +1
This paper simulates the performance and emissions of a dual-fuel marine diesel engine to achieve low-carbon ferry operations, offering technical insights for decarbonizing the maritime sector.
Xuhui Wang, Tongsheng Zhang, G.N. Xu +5
This study optimizes mixture design and renewable-energy steam curing for precast concrete, achieving CO2 emission reductions of 71.7-76.4 kg/m³. A mix with 15% GGBS and controlled curing improves strength and durability while cutting costs…
Agata Gniadkowska‐Szymańska
This study measures technical efficiency of listed energy firms in Europe, US, and Canada during 2017-2024 using DEA (CCR and BCC models) and panel data analysis. Findings show moderate efficiency with significant scale inefficiency; renewa…
Lincoln Pinoski, Blake Latos, Devin Marigny +4
This review comprehensively covers rechargeable battery technologies for grid-scale storage, comparing chemistries like lithium-ion, sodium-ion, flow, and solid-state on performance, safety, and commercial readiness. It examines material su…
Gola A, Piotrowska K, Piasecka I +3
This study evaluates the life-cycle environmental performance of C-segment passenger cars (gasoline, diesel, CNG, PHEV, BEV, FCEV) for 2025 and 2050, considering powertrain, materials, energy decarbonization, and end-of-life pathways. Recyc…
Hassan, Taimoor, Krajewski, Piotr, Arif Khan, Muhammad
This dataset covers G7 economies, including indicators on fiscal decentralization, renewable energy finance, technological progress, and carbon emissions. It supports empirical analysis of how these factors contribute to carbon mitigation a…
Qingyang Lin, Chenglin Li, Kai Wang +7
China's PV manufacturers, producing nearly two-thirds of global capacity, face criticism for high emissions. This paper proposes a Producer Decarbonization Contribution framework to quantify their overlooked contributions, finding they cont…
Wentao Lv, Yujian Ye, Tianxiang Cui +7
This paper proposes a multistage stochastic programming framework integrating hydrogen-electric energy and logistics scheduling for seaports. Using a Markov chain-based SDDiP algorithm, it handles uncertainties in ship arrivals and renewabl…
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