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 141–160 of 841 papers
Kornelia Kłopecka-Miętka, Sławomir Śmiech, M. Papież +1
This paper empirically analyzes the impact of European electricity market integration and decarbonization on price convergence. It examines how changes in the electricity mix and external shocks affect price dynamics, showing that market in…
Quanwei Chen, Fang Zhao, Xin Lai +9
This study conducts a life cycle assessment of lithium-ion batteries (LiBs) under the renewable energy transition, quantifying environmental and resource impacts from raw material extraction to end-of-life. It highlights trade-offs in the b…
Feng Wang, Yang Sun, Pengyue Wang +5
This paper predicts the carbon reduction capacity of coal-fired power plants when used as discharging units for medium-/low-temperature Carnot batteries, using an exergy-based approach. It quantitatively evaluates the decarbonization potent…
Fang Wang, Meini Lin, Jiping Jiang +6
This paper revisits rule-based external carbon dosing in wastewater treatment plants (WWTPs) to enable low-cost digital transformation for decarbonization. It targets full-scale implementation, improving energy efficiency and reducing carbo…
Wenqiang Guo, Yusheng Shi, Yongliang Yang +3
This paper analyzes the spatiotemporal evolution and drivers of China's energy-related methane emissions, highlighting reduction potentials and challenges for achieving carbon neutrality. It contributes to policy recommendations by consider…
Duan Lu, Xiaoming Liu, Feixiang Zan +5
This study analyzes spatiotemporal patterns of greenhouse gas emissions from China's waste management sector and proposes pathways to carbon neutrality. It identifies regional and temporal emission characteristics, offering insights for pri…
Bartlomiej Arendarczyk, Ankita Saxena, Almut Arneth +2
Climate mitigation scenarios often rely on bioenergy, but agrivoltaics can generate electricity with higher land use efficiency. Modeling shows replacing bioenergy with agrivoltaics requires 30 times less land, preserving 106 Mha of natural…
Carlos Mantilla, Chiara Bustreo, Francesco Gracceva +11
Fusion could provide firm carbon-free power, but commercialization is uncertain. Using the EUROfusion TIMES model, this study finds that a 21% share of global electricity by 2100 requires commercialization by 2040, fast capacity doubling, s…
Jose Barrales-Ruiz, Pablo Neudörfer
This study analyzes how the economic value of green patents affects relative equity valuations of fossil-fuel (brown) and renewable (green) energy companies in the US from 2005 to 2020. Using local projections, it finds that increases in hi…
Hou J, Zhang P, Lei Y +4
This paper addresses day-ahead scheduling of integrated energy systems (IES) under supply-demand uncertainty, proposing a bi-level quantity-quality coordinated optimization method. It develops a unified energy-carbon-exergy flow model to ch…
Lanzini, Andrea, Minuto, Francesco Demetrio, Stolte, Marcel +1
This open-source dataset systematically organizes techno-economic parameters, project examples, technology-application mappings, and references for short- and long-duration energy storage technologies and their grid services. Covering Li-io…
Shang, Wen-Long, cheng, haibo
This study develops a peak-minimization model integrating bidirectional EV charging (V2G) with distributed solar (rooftop and vehicle-integrated PV). Using UK smart-meter data and the IEEE European test feeder, it shows V2G alone cuts peak …
Yu Y.
This paper analyzes the impact of global value chain participation and technological innovation on China's industrial greenhouse gas emissions and predicts future trends. It finds that technological innovation contributes to emission reduct…
Yifu Zhang, Yuming Liu, 吳祖漢 +3
This study proposes two compressed CO2 energy storage (CCES) systems for long-duration storage, comparing thermodynamics and economics. The closed system achieves 62.25% cycle efficiency, while the semi-open system reaches 7.38×10^7 J/m^3 e…
Jingjing Zhao, Boyu Qi
This paper proposes a bi-level optimal sizing framework for an electric-hydrogen hybrid energy storage system in microgrids under multi-market coupling. Using WGAN-GP for scenario generation and NSGA-III for multi-objective optimization, it…
Jinho Nam, Paul H. Jung
This paper proposes a movement analytics approach to estimate localized vessel carbon emissions using AIS trajectory data. By analyzing vessel movements, it enables high-resolution emission estimation, contributing to decarbonization in the…
Meghan Lewis, Monica Huang, Stephanie Carlisle +1
An introductory guide for architects on embodied carbon—the GHG emissions from materials over a building's full life cycle. It argues that operational efficiency and electrification are insufficient; tackling embodied carbon is essential to…
Sachinkumar N Sarangamath, Priya Guhamagadi
Using panel data from 50 emerging markets (2000-2023), this study finds that FDI inflows significantly increase renewable energy share and per-capita installed capacity while reducing carbon intensity of GDP. The effect is stronger in count…
Gengrui Chen, Hui Hongxun, GAO Hongjun +2
This paper reviews how industrial users can support the low-carbon transition of power systems through process reconfiguration. It analyzes flexibility mechanisms in steel, electrolytic aluminum, and cement industries, and proposes a three-…
Adel Ben Youssef, Mounir Dahmani, Davide La Torre
This study evaluates the efficiency of green finance and energy transition policies in OECD countries using an integrated MCDA and SHAP approach. It provides insights for policy prioritization and efficiency improvement.
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