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 861–880 of 4226 papers
Angad Panesar, Elisa Wylie
This study evaluates hythane (20% H2 in methane) fueling in a spark-ignition engine with EGR, showing reduced NOx and over 30% CO2 reduction vs Euro 6 diesel, offering a low-disruption pathway for fleet decarbonization using existing natura…
Murali Krishna Pasupuleti
This monograph presents an integrated research architecture for planetary resilience, combining Earth-system AI, ClimateTech modeling, and sustainable energy intelligence. It covers uncertainty-aware design, physics-guided ML, MLOps, and se…
Tasneem Tawalbeh, Zhanyun Wang, Kathrin Fenner +1
This paper highlights the hazardous chemical risks across the lifecycle of renewable energy technologies, emphasizing the need for improved measurement, transparency, and early consideration of chemical impacts to ensure a sustainable energ…
Ömer Algorabi, Ersin Namlı
This study compares deep learning (GRU) and boosting models for forecasting electricity generation in Türkiye and Germany, then evaluates 2030 BAU, ST, and EC scenarios. GRU performs best for Türkiye, boosting for Germany. Scenario analysis…
Phuoc Hung Thach, Mai Dong Tran, Khanh Huy Nguyen
This bibliometric review maps the intellectual structure of green technology commercialization research, analyzing 259 articles from 1991-2026. It identifies six thematic clusters framing commercialization as an innovation-to-diffusion syst…
Ioannis Papadopoulos, Georgios Tsaousoglou, Johanna Vorwerk
This paper proposes a unified deep reinforcement learning agent for power system operation that balances thermal security and small-signal stability under stochastic load variations. The agent achieves better trade-offs than single-objectiv…
Lorenzo Dal Maso, Rodolphe Durand, Francesco Mazzi +1
Using the AMC framework, this study analyzes 854 U.S. listed firms (2006-2020) to show that natural disasters initially increase GHG emissions intensity, but firms and communities with high motivation and capability can attenuate or reverse…
Zhao Luo, Zitong Huang, Dewen Liu +11
This paper proposes a coordinated optimization model for an integrated energy system in copper metallurgy, considering material-energy-carbon coupling constraints. It derives operational plans that achieve both cost savings and decarbonizat…
Kanokkon Vorraapinyaporn, Prapita Thanarak, Unchittha Prasatsap +1
This case study analyzes system-level decarbonization of rice milling in Thailand by integrating solar PV, biomass, and electrified logistics. It evaluates emission reductions and economic feasibility, demonstrating potential for decarboniz…
Biéron M.
This paper assesses the marginal technologies that react to demand response events in the French power system. It analyzes the impact of demand response on grid carbon intensity and operations, offering insights for energy transition polici…
Durakovic G.
This study analyzes decarbonization pathways for the European energy system under a Russian gas supply disruption, focusing on power, heat, and industry. It highlights the critical role of hydrogen and carbon capture, with industrial demand…
Su C.
This paper proposes a dynamic optimal control strategy for CCUS technology innovation in coal power stations under an environmental protection tax. It models how the tax influences the timing and scale of technology investment, analyzing th…
Zhao X.
This paper empirically analyzes the impact of China's Green Finance Evaluation Scheme on green bond issuance costs. It reveals the mechanism by which regulatory incentives increase investor demand and lower financing costs, demonstrating th…
Wang Y.
This paper analyzes the impacts of China's Emissions Trading Scheme (ETS) on the national and Hong Kong economies using a dynamic computable general equilibrium (CGE) model. It quantitatively assesses the effects of carbon pricing on GDP, i…
Guiyuan X.
This paper analyzes the impact of carbon emission trading schemes (ETS) on the electricity market under China's dual carbon goals (peak emissions by 2030, carbon neutrality by 2060). It examines effects on electricity prices, generation mix…
Krueger P.
This paper empirically analyzes the effects of mandatory ESG disclosure regulations worldwide. It examines how such regulations influence corporate behavior and market outcomes, potentially reducing information asymmetry and improving ESG p…
Moutet L.
This systematic review synthesizes evidence on public health co-benefits of strategies aligned with net-zero emissions, such as renewable energy, low-carbon transport, and energy efficiency. It identifies air quality improvement as a key pa…
Browning M.
This paper analyzes multiple scenarios for the United States to achieve net-zero CO2 by 2050 using the Energy Modeling Forum 37 (EMF37) framework. It compares technological, economic, and policy pathways, assessing feasibility and cost impl…
Bataille C.
This paper analyzes transition pathways for the industrial sector toward net-zero emissions, discussing new supply chain configurations, modeling challenges, and policy implications. It examines technological, economic, and institutional ba…
A. Andrikopoulos, P. Michaelides, Guanxia Xie
Using patent data from over 3,500 Chinese listed firms, this study develops a structural model to show that ESG disclosure significantly boosts green innovation: disclosers see a 15.8% increase in green patent applications and 21.4% in auth…
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