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Survey of all published Carbon Capture ML papers, data, code and supplemental materials for the benefit of all humanity
Online maptool that provides novel decision-support capabilities for evaluating carbon capture, utilization and storage technologies (CCUS).
A transparent Python calculator for CO2 injection wellbore profiles, CCS/CCUS studies, CoolProp properties, and OPM Flow coupling.
meapy provides a clean, tested, and typed API for the core calculations performed when commissioning and evaluating MEA-based carbon capture pilot plants
Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW
Microalgal growth simulation for CO₂ capture estimation. Monod kinetics, Steele photoinhibition, and CTMI temperature modeling for Chlorella vulgaris under Surat, India's tropical climate.
PPO-LSTM agent replacing PID control on a simulated MEA CO2-capture plant, using a neural surrogate for real-time control.
Python analysis of CO₂ adsorption on solid sorbents, relevant to post-combustion carbon capture. Covers isotherm fitting, breakthrough curve modelling, and cyclic regeneration analysis.
Steady-state rate-based simulation of 90% post-combustion CO₂ capture using 30 wt% MEA in ASPEN Plus, validated against pilot plant and literature data. Includes sensitivity analysis, techno-economic analysis, and Python post-processing. Findings detailed in a lab notebook and full technical report.
A collection of Python code used for carbon dioxide adsorption analysis
Decision-support tool comparing CCS retrofits vs. electrification for hard-to-abate industries (steel, cement, chemicals) on cost, abatement, jobs, and timeline. Built for the Laidlaw Scholars Industrial Transitions project.
Moving-bed TVSA digital twin for Direct Air Capture — couples continuous sorbent physics (Toth isotherm, LDF kinetics) with a SimPy discrete-event plant model to simulate batch-continuous CO2 capture, bottlenecks, and climate-robust control.
Carbon Capture-to-Product Marketplace — emitters list captured CO2, utilisers find it and bid on it.
Energy, Machine Learning & CFD Analyst
Marketplace matching carbon capture technology producers with industrial consumers. React + Flask with vector-based match scoring.
Machine learning surrogate modeling, thermodynamic property prediction, and RL process optimization for Carbon Capture, Utilization & Storage (CCUS)
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
MRV toolkit for a CO2 injection well: Peng-Robinson EOS density, mass-balance with Monte Carlo uncertainty, CUSUM leak/anomaly detection
Segmentação de espaço poroso em micro-CT de rochas-reservatório (Digital Rock Physics): U-Net, datasets reais do pré-sal e arenitos, comparação com foundation model SAM2-UNet e validação de porosidade contra laboratório.
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