Using Catboost-SMOTE Machine Learning to Discover Brand New Amines which can be Synthesized and Tested for their CO2 Capture Performance

By: Pailin Muchan and Teeradet Supap

This post highlights a powerful statistical technique known as Synthetic Minority Over-sampling Technique (SMOTE) that was also used in combination with Categorical Boosting (Catboost) technique in our recently published work on development of a predictive degradation model of amine used in CO2 capture process. Theoretically, SMOTE is...

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CO2 Absorption and Desorption Activities of Amine Solvents: Modeling of Structure-Activity Relationship Using Machine Learning

By: Kufre Archibong

Selecting amine solvents for CO2 post-combustion capture application requires an experimental screening of the solvents to determine their performance...

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Sample Microgrid Post #2

By: Bravo Tango

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Performance Evaluation of a New Novel Amine Bi-Blend Solvent in a Catalyst Aided CO2 Capture Process in a Full Cycle Mini Pilot Plant

By: Sophia Ekanem

The amine-based post-combustion capture method utilizes reactive solvents, amines, to absorb CO2 from industrial flue gas. Despite its proven success, this method faces a significant challenge due to its high energy requirements. Efforts have been made to enhance the process’s efficiency, particularly in reducing its energy demand. One such endeavor involves the development of solvents […]

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Pretreatment by Simultaneous Removal of SO2 and NO2 from Flue Gas

By: Enoch Kofi Otoo

The global concern over climate change has led to the implementation of various measures to reduce greenhouse gas emissions, including carbon capture and storage (CCS) technology.

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AMP and MEA Carbamate Stability Comparison

By: Dr. Teeradet Supap

In this post, we explain why carbamate of sterically hindered AMP is unstable relative to that of MEA.

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Improvement of Biobased Catalyst for Biodiesel Production from Waste Cooking Oil

By: Mariam Hanson

In order to attain net zero carbon emissions by 2050 and meet a 45% of biofuel production from waste resources target by 2030, there is the need to explore catalysts for increasing biofuel yield. This work will explore the use of environmentally benign materials for biodiesel production.

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Perception in Neural Networks

By: Pichaya Jandokmai and Jedsadaporn Jinasena

Neural network is a type of machine learning algorithm that is inspired by the structure and function of the human brain.

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Structural Correlation and Predictive Model by Machine Learning Regression for Oxidative Degradation Rate of Amine Solution in Post-Combustion Amine-Based CO2 Capture Processes

By: Sirinee Kruthasoot and Tawan Kongton

Carbon capture has been proposed as a viable method of lowering CO2 emissions. The most widely used technology is the use of amines to capture CO2. However, the strategy commonly encounters operational concerns...

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Development of catalysts for post-combustion carbon capture

By: Samuel Nii-Adjei Adjetey

The development of catalysts for post-combustion carbon capture is important for reducing greenhouse gas emissions and addressing the challenge of climate change. Catalysts can improve...

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