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 8461–8480 of 32796 papers
Lokesh Pawar, Bertrand Le Gallic, Jorge Ramos
This study applies the SEBA framework to offshore wind and fisheries in the French North Atlantic–Western Channel, revealing uneven employment distribution (Gini 0.59 vs 0.42) and co-location of fishery revenue and wind firms (ρ=0.90). It o…
Carlos Augusto Ramírez-Ruíz, Sergio Cabrales, Carlos Felipe Valencia Arboleda
This study assesses climate change impacts on photovoltaic energy generation in Colombia using statistically downscaled CMIP6 projections and a physical PV panel model. Using 3-hourly resolution, it captures intra-day PV performance variati…
Zhuoxiao Wu, Yu Wei, Nathaniel Anderson
Develops a two-stage stochastic MILP model for willow-based pellet production, integrating seasonal harvesting and stochastic demand. Case study in New York shows stochastic inventory policies reduce mean cost by 1% and cost variability by …
Global CCS Institute, Sumitomo SHI/FW
This annual compendium by the Global CCS Institute showcases state-of-the-art carbon capture and storage technologies, providing a platform for technology providers to share solutions and for developers to discover the field's offerings. Th…
Zilio, Samuele, Zandonella Callegher, Claudio, Prina, Matteo Giacomo +1
This dataset, part of the EU LIFE-funded PLANtoACT project, provides municipal-level spatial estimates of renewable energy potentials (solar PV and wind) for five European pilot regions: Oberland (Germany), Auvergne-Rhône-Alpes (France), Lo…
Rogissart, Simon, De La Cruz, Ruben
This dataset systematically documents non-price criteria used in prequalification and award phases of European offshore wind auctions from 2005 to 2028. It includes a codebook, verbatim descriptions of criteria, and auction-level values, bu…
Mao, Yingming
This dataset provides hourly uncertainty data for wind and PV power over a year, including upper/lower bounds and typical scenarios for each hour. It supports energy systems analysis, robust optimization, and stochastic programming, enablin…
Barbosa, Gabriela, Almeida, Manuela
This paper focuses on digital interoperability for Building Renovation Passports (BRP), proposing a framework to support sustainable building renovation and decarbonization. It analyzes challenges in data standardization and information sha…
Vourdoubas, John
The DETOCS project surveyed sustainable energy use in 19 tourism entities across EU regions. Solar, biomass, and geothermal are popular, mature, and cost-effective. No carbon offsetting was found. The findings support decarbonization of the…
Ascione, Fabio, Bruckner, Benedikt, Theresa, Pudzich +1
This compendium provides R code and data to calculate GHG emissions for the German tourism sector using three approaches: firm-level surveys, EE-MRIO consumption footprints, and production-based national statistics. It enables Scope 1 and 2…
Babuder, Diego
The 2030 ReFuelEU Aviation mandate raises SAF share from 2% to 6%, making fuel decarbonization a key airline management challenge. Using Ryanair as a benchmark, the article analyzes how SAF cost uncertainty affects fares, margins, demand, c…
Mohamed Shamseldein
Gigawatt-scale hydrogen hubs introduce a new converter-dominated load class to power systems. This paper assesses harmonic injection, voltage stability in weak grids, and frequency response using open-source tools. It finds standard load mo…
Lavinia M. P. Ghilardi, Olga Walz, Steffen Klosterhalfen +1
This work develops mixed-integer programming formulations to identify optimal supply chain reconfigurations that preserve industrial operations and profitability under structural changes from the energy transition. By introducing product an…
(著者不明)
This paper assesses the suitability of current evidence on European wild seaweed ecosystems for blue carbon accounting. It evaluates the carbon sequestration potential of seaweed and the adequacy of existing accounting methods, aiming to cl…
Umesh Sharma, Tejas Adhikari, Mary Low
This study examines voluntary sustainability reporting practices among NZX50-listed companies, focusing on integrated reporting and ESG disclosures. Using content analysis, it finds that while most firms engage in some form of disclosure, E…
Arnima Pathak, Monika Sharma, Devendra Kumar
This paper proposes a hybrid process and machine learning framework to predict and classify nitrous oxide emissions in legume-based cropping systems. Using 22 years of field data, the ensemble model achieved high predictive accuracy (R²=0.9…
Poonam Chaturvedi, Ankita Rajput, G. K. Vani +3
This study analyzes GHG emission trends in buffalo meat production globally and in India, Pakistan, and China from 2000 to 2022. Using LMDI decomposition, it finds that production effect is the main driver of emission growth (average 54.83%…
Ravikiran Chintalapudi, Dadhu Venkata Raghunatha Reddy, Gangadhara Rao Ponugoti +4
Develops a framework for forecasting India's CH4, CO2, N2O, NOx, and PM2.5 emissions using EDGAR data and covariates. Selects optimal model per pollutant and applies conformal prediction for uncertainty. Projects 37.96% CO2 increase from 20…
Charleni Crisóstomo Abdalla, Adibe Luiz Abdalla Filho, Rui José Branquinho de Bessa +8
This study examined whether feed efficiency classification based on residual feed intake (RFI) and residual intake and gain (RIG) reflects consistent differences in digestive, fermentative, and metabolic processes. In 38 confined Texel ewe …
Pham Son Tung, Nguyen Quang Huy
This study evaluates co-optimization of CO2 storage and enhanced oil recovery (CO2-EOR) in the Cuu Long Basin, Vietnam. Using an LSTM-based surrogate model for rapid forecasting and uncertainty quantification, it confirms technical and econ…
Browse by Topic