This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 2101–2120 of 23939 papers
Disa Amalia
This study compares carbon pricing schemes (ETS, Cap and Tax, abatement cost) for reducing emissions in the Java-Madura-Bali power sector. Results show carbon pricing raises electricity prices, with mitigation costs rising significantly ove…
Anjali Raghuwanshi, Harsh Raghuwanshi, Roli Pradhan
Analyzing sustainability disclosures of five Indian textile firms (2020-2025), this study identifies five decarbonization archetypes: transformational, efficiency-based, scale-driven, compliance-driven, and brand-driven. While progress in r…
Omeire, Victoria, Okorie, Okechukwu; id_orcid 0000-0002-5210-9951, Sharmina, Maria; id_orcid 0000-0002-5521-700X +1
This paper proposes a conceptual product lifecycle-data stream framework to support accurate Scope 3 emissions modelling in high-value manufacturing. Using a medical device (harmonic shear) as a case study, it maps emission sources across t…
Okorie, Okechukwu; id_orcid 0000-0002-5210-9951, Omeire, Victoria, Mativenga, Paul; id_orcid 0000-0002-7583-5163 +2
This study proposes a comprehensive hybrid modeling framework for product-level Scope 3 emissions evaluation, addressing challenges in complex manufacturing supply chains. It offers a practical approach for manufacturers and modelers to ove…
Bhattacharjee AL, Sochi K, Oakleaf JR +10
This paper presents an integrative framework for siting utility-scale renewable energy projects, combining future development potential, environmental considerations (e.g., biodiversity), and spatially explicit social values. It outlines me…
R N, R RS, D Sk +3
This paper proposes an AI-driven nanostructured electrocatalyst optimization framework (AINEOF) for efficient green hydrogen production. By combining Bayesian optimization with deep neural networks, it optimizes catalyst composition and mor…
Prajapati G, Kumar S, Singh S
This study validates the technical feasibility of low-carbon hydrogen production via biomass oxy-steam gasification powered by a nuclear microreactor using an Aspen Plus equilibrium model. A 5 MWe reactor supplies ~11.25 MW of heat to opera…
Managi S, Zhang J, Wang X +2
This study quantifies third-country carbon—emissions occurring outside both trade partners but embedded in their supply chains—using the Eora multi-regional input-output table. In 2021, it reached 1.85 Gt CO2 (27.7% of trade-embodied emissi…
Beck HP
This study evaluates the energy return on investment (EROI) of firming weather-dependent renewables in a Central European mix of 80% wind and 20% solar. Expanding the system boundary to include grids, storage, and backup reduces EROI from 1…
C Zhao
This paper proposes a carbon management optimization method using blockchain to enhance transparency and traceability of Scope 3 emissions, focusing on marginalized large-scale operators. It ensures tamper-proof data and improves reliabilit…
Castonguay, Adam, Lu, Yingying, Nolan, Martin +9
This study develops an updated GLOBIOM model for Australia, integrated with the GTEM economic model, to assess pathways to net zero by 2050. Results show agriculture and land-use sectors reach net zero by 2040, with the whole economy by 205…
Martin, Melissa, Suhrer, Michael, Drylie, Stephen +5
Relative permeability data are critical for CO2 storage projects, but CO2-brine testing is time-consuming and costly. This study integrates laboratory measurements with digital rock analysis to compare multiple testing methods and fluid pai…
Norboboyev Navruzbek
This article analyzes the macroeconomic impacts of transitioning to renewable energy in the energy sector. It examines how renewable adoption influences economic stability, energy security, employment, and investment flows, focusing on poli…
Bakhramov, Sh.K., Qosimov, M.U., Bakhramov, Sh.K.
This review critically evaluates decentralized green hydrogen production via photovoltaic-driven alkaline electrolysis, focusing on electrolyte, electrode materials, and power conditioning. It finds that a 5 kW solar array can yield 160-180…
El-Ghareeb, Haitham A.
This results archive compares fourteen uncertainty representations for interval forecasting of renewable energy generation, using a paired grid of 37,800 cells across 30 series from German wind, Kelmarsh SCADA, and a green-hydrogen proxy. K…
Jenei, Bettina, Al-Masri, Wael, Youssef, Souhail +3
This study experimentally measures H2-brine relative permeability in tight sandstone for underground hydrogen storage (UHS) efficiency assessment. Results show significant differences from CO2/N2 analogue data due to hydrogen's unique prope…
Zandonella Callegher, Claudio, Zilio, Samuele, D'Alonzo, Valentina +1
This repository presents the results of WP2 Task 2.2 of the LIFE-funded PLANtoACT project, providing spatial building stock characterization and energy profiles for five pilot regions in the EU (Germany, France, Italy, Portugal, Romania). I…
Agrawal, Rakesh Kumar
This book presents the BQEB framework, integrating AI, forecasting, optimization, validation, and future energy architectures. Across 20 chapters, it covers data foundations, forecasting methods, optimization, digital twins, and intelligent…
Matukhno, Olena, Schäfer-Bung, Boris
This dataset provides harmonized economic, GHG emissions, and energy-transition indicators for the EU, Germany, Poland, Turkey, and Ukraine (1990-2024). It supports comparative analysis of GDP-GHG decoupling, energy and carbon intensity, re…
Uju Emmanuel
Proposes an integrated reliability framework for hydrogen compressors combining condition monitoring, digital twins, physics-informed AI, prognostics, and risk-based maintenance. Uses real-time data for fault detection and RUL estimation, a…
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