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 481–500 of 23592 papers
Doepfert, Markus, Chu, Jiahe, Kraus, Hermann +3
This dataset accompanies a study that benchmarks eight competing electricity market architectures using agent-based modeling. It analyzes the trade-off between market design complexity and performance, offering insights for market rules tha…
Parrado-Hernando, Gonzalo, del Valle Sanchez, Cristina, Miguel González, Luis Javier
This supplementary material supports a study on how representing capacity deployment timing in integrated assessment models affects energy transition pathways and policy analysis. It includes model files, input data, scripts, and results to…
Kitchin, John R.
difflow is a Python framework for fully differentiable simulation of chemical processes using JAX. It provides exact gradients through unit operations, thermodynamics, flowsheet recycle convergence, and technoeconomic models, enabling gradi…
Dutta, Sweta
This repository provides code and data for evaluating behind-the-meter solar at hyperscale data-center campuses across eleven U.S. markets, computing carbon-price thresholds by resource grade. The update adds a script to automate the final …
LEKBIR, DJAMEL
This study develops an Estimation-to-Compensation framework using double/debiased machine learning and causal forests to estimate installation-level heterogeneous effects of the EU ETS on ~1,900 German installations, validated on Chinese pi…
Shchepashchenko, Maria, Korotkov, Vladimir, Vladimirova, Nadezda +3
This dataset spatially delineates managed and unmanaged land in Russia for 2020, supporting consistency between spatial datasets and national GHG inventory reporting under UNFCCC. Using ESA WorldCover and auxiliary data, it classifies land …
Ummatin, Kuntum Khoiro, Hidayatno, Akhmad, Setiawan, Andri +1
This dataset provides a system dynamics model and simulation outputs for refuse-derived fuel (RDF) adoption in Indonesia's cement industry. The model comprises six modules: population, MSW generation, RDF adoption, production, demand, and a…
Mohammadi, Sepehr, Mostafa, Sherif, Jadidi, Zahra
This is a coded dataset and reproducibility package for a PRISMA-informed evidence map of AI and computational methods for carbon decision support in the built environment. It includes a 457-record audited database (335 primary studies, 102…
Schumm, Leon, Tautorus, Jan
This dataset provides input data for SHIFT, a spatially resolved techno-economic optimization model of global iron and steel supply chains under decarbonization. It identifies cost-optimal configurations for mining, hydrogen production, DRI…
R. O. Ajah, B. A. Uche
This study assesses the techno-economic and lifecycle emissions of blue hydrogen production from CO2-EOR-associated natural gas. It develops an integrated framework linking SMR/ATR reforming, CO2 capture, EOR utilization, and storage, compa…
Ömer Faruk Kızıl, Özge Kuran
This study analyzes the impact of six industrial sectors on GHG emissions across 17 Eurostat countries from 2010 to 2021. To address multicollinearity, ridge and Liu estimators are applied within a linear mixed model framework, advancing st…
E. P. Egbe, E. O. Diemuodeke, E. G. Udonkwo +1
This paper develops a data-driven GHG accounting software for Nigeria's oil and gas sector, automating Scope 1 and 2 emissions estimation based on the API Compendium. It addresses manual, fragmented practices by integrating operational and …
Wenxin Wei, Ting Wen, Xiaozhen Wang +4
A 25-day mesocosm experiment examined how golden apple snail (GAS) activity affects methane (CH4) and nitrous oxide (N2O) emissions from paddy soil. High-density GAS significantly reduced CH4 flux by 18.7% and increased N2O flux by 33.1%, w…
Samuel A. Olaosebikan, Bosede T. Ojo, Wahab Grace +1
This paper proposes a just transition framework for Nigeria to balance energy poverty reduction and net-zero by 2060. It outlines three pillars: transitional gas with CCUS and methane abatement, sustained oil production for fiscal liquidity…
B. T. Bankole, C. Nweke-Eze
Assesses techno-economic viability of CCUS for Nigeria's net-zero transition, integrating EOR and blue hydrogen to create revenue streams and proposing policy frameworks. Offers actionable insights for policymakers and investors.
Zainab Iyiola, Oluchi Ejehu, Michal Ezeh +3
The oil and gas sector accounts for ~5.1 Gt CO2eq direct emissions annually (~15% of global energy-related GHGs). This systematic review of 218 sources (2013-2024) evaluates CCS, hydrogen, and digital optimization pathways. Integrated strat…
Alessandro Avenali, Daniele De Santis, Mirko Giagnorio +1
This paper analyzes public funding allocation for bus system decarbonization, accounting for technological uncertainty and depot infrastructure upgrades. It evaluates the costs and timing of adopting alternative technologies (e.g., EV, hydr…
Tayo Ajimoko, Rhetort Limited
Nigeria's upstream oil and gas sector faces inconsistent decarbonization implementation despite regulatory reforms under the PIA and NUPRC. This paper analyzes the limitations of compliance-based approaches and proposes a performance-based …
H. O. Suleiman, D. G. Ameh
This study demonstrates energy efficiency optimization as a viable near-term decarbonization pathway for integrated hydrocarbon operations. Through meta-analysis and engineering simulation, it shows 10-20% carbon intensity improvements acro…
Yogesh Bhattarai, V. Chaudhary, Wai Lim Kim +1
This study applies a diffusion model for cloud removal in flood imagery, trained on Sentinel-2B scenes. It generates cloud-free images preserving hydrological consistency, improving water body continuity and spectral signatures for water de…
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