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 701–720 of 4160 papers
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…
Wolowieс T, Pavlova O, Liashenko O +6
This paper identifies the causal effect of EU ETS carbon prices on electricity generation using a panel of 27 member states and differential exposure based on pre-ETS coal shares. It finds that higher carbon prices significantly reduce coal…
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…
Alanazi, Majed, Hughes, Kevin J., Pourkashanian, Mohamed
This dataset supports verification, multi-dataset validation, and uncertainty quantification of a 1D PEM electrolysis model for gigawatt-scale green hydrogen design. It includes COMSOL polarization exports, digitized experimental points fro…
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 …
Yanxun Gu, Kun Yang, Jian Cao +1
This review critiques the limitations of national-average grid carbon emission factors (CEFs) that ignore spatial and temporal heterogeneity, and evaluates the emerging paradigm of grid hierarchical and zonal division. It proposes an integr…
Andersen P.B.
This project conducted cross-brand service testing using V2G (Vehicle-to-Grid) technology, connecting electric vehicles to the power grid for demand response and renewable energy integration. It aims to validate the practicality and interop…
Guo Q.
Using China's carbon emissions trading scheme (ETS) as a quasi-natural experiment, this study empirically examines the impact of carbon finance on corporate emissions reduction. It suggests that the interaction between policy and finance en…
Tamimi N.
This paper analyzes ESG disclosure scores of S&P 500 companies, examining the degree of transparency and its association with firm characteristics. It suggests implications for firm value and investor decision-making.
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…
Ziqi Zhou, Meng Han
This paper theoretically analyzes the drivers of carbon price variation using a present value model. It clarifies how allowance supply-demand and policy changes affect price formation, offering insights into carbon market efficiency and pre…
Paula Heeß
This dissertation examines how information systems support sustainable transformation, designing digital infrastructures for energy flexibility integration and Digital Product Passports (DPPs). It advocates proactive data orchestration for …
Simona-Elena Drăgoiu, Mihail Bărănescu, Daniel Melinte
Against stricter European regulation, this bibliometric study of 469 Web of Science articles examines firm size as a determinant of ESG reporting quality. Using keyword co-occurrence and network analysis, it maps thematic clusters (ESG disc…
Gaia Balp
The European Commission's Omnibus I Initiative revises the CSRD to reduce reporting burdens by narrowing scope and postponing deadlines, but risks information gaps that could undermine SFDR and the EU sustainable finance architecture. The e…
Cristian Cuji, Luis Tipán, Jorge Muñoz +2
This study proposes a reproducible unit-level methodology to transform field data from smart lighting installations into indicators of electrical performance, energy efficiency, avoided emissions, and economic benefit. Results show that man…
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…
Leyi Yan, Shuangning Li, Sihang Liu
This paper characterizes carbon emissions of AI agent workloads and proposes carbon-aware execution scheduling that exploits deadline flexibility. AgentDecarbonizer, running alongside OpenClaw, estimates task duration and schedules executio…
Suphi Şen, Serhan Sadikoğlu, Changjing Ji +1
This study estimates the effect of staggered carbon pricing adoption globally (1990-2017) on per capita CO2 emissions from fossil fuels, using econometric methods robust to treatment effect heterogeneity. Dynamic estimates show a 19-23% red…
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