Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO2 Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

• Pailin Muchan,
• Sirinee Kruthasoot,
• Tawan Kongton,
• Teeradet Supap,
• Jessica Narku-Tetteh,
• Supranee Lisawadi,
• Patchanok Srisuradetchai,
• Raphael Idem

Affiliations

Pailin Muchan

Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada

Sirinee Kruthasoot

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand

Tawan Kongton

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand

Teeradet Supap

Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada

Jessica Narku-Tetteh

Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada

Supranee Lisawadi

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand

Patchanok Srisuradetchai

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand

Raphael Idem

Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada