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 181–200 of 847 papers
Dinh Nghi Dung Le
This study uses U.S. state-level data (2001-2023) and causal machine learning (generalized random forest) to estimate the causal effect of weather-dependent renewable energy (WD-RES) penetration on blackout risk. It identifies heterogeneous…
Wagenvoort B, Lafond F, Dyer J +1
Using a database of 120 mature technologies, this study shows that technology diffusion follows a universal S-curve shape and that a Bayesian Bertalanffy-Richards process provides accurate forecasts. Predictions for solar PV and wind sugges…
(著者不明)
This paper introduces the activities of a research center dedicated to decarbonizing the shipping industry. It overviews initiatives contributing to sustainable shipping transition, including development and demonstration of zero-carbon fue…
Hanto, Jonathan, Diesing, Alena, Löffler, Konstantin
This dataset supports multi-objective optimization of cost and social acceptance in Germany's energy transition. It includes regional cost and public acceptance data for renewable energy deployment, useful for policy-making and regional pla…
Yash Dubey, Katrin Sievert
This repository provides code accompanying a paper on the cost-effectiveness of synthetic fuels and CO2 removal (DACCS/DACCU) for net-zero aviation. It supports analysis of technology pathways and cost optimization for aviation decarbonizat…
Jiachang Yuan
Under China's Dual Carbon Goals, this study proposes a three-tier collaborative optimization framework for renewable energy supply chains, integrating blockchain-based carbon data pools, multi-objective optimization, dynamic carbon taxation…
Shufang Liu, Haitao Yang, Xingbin Li +6
This paper explores industrial flexible electrolysis as virtual energy storage, integrating hydrogen production, metal extraction, and chemical synthesis to absorb renewable energy fluctuations and support decarbonization. A collaborative C…
阁宗岭
This review systematically organizes progress in lithium recovery from retired NCM ternary lithium-ion batteries, analyzing mainstream pyrometallurgy, hydrometallurgy, and direct repair methods, and detailing novel lithium-preferential proc…
Teng Niu, Huaquan Miao
This study evaluates the economic and environmental feasibility of using methane hydrate as an alternative fuel for steam power systems, employing a chance-constrained robust programming approach to support decision-making under uncertainty…
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…
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…
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…
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…
Yayuqiong Zeng, Qi Huang, Liuchun Zhang +1
This review examines the shift toward regenerative material systems in the built environment, evaluating bio-derived and carbon-storing materials (e.g., engineered timber, hempcrete) and low-carbon or circular mineral alternatives (e.g., lo…
Zhang Chenxuan, Peixiao Fan, Siqi Bu +1
This paper highlights the energy costs of integrating AI into power-transport networks, introducing the 'Computation-Energy Paradox.' It shows via a case study that during disasters, increased AI use for emergency management can worsen powe…
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