Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost

Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost

Herein, we investigate how to improve the hydrochar yield via hydrothermal carbonization process, focusing on the use of almond shells as a carbon resource. We have employed various modeling techniques, including response surface methodology, artificial neural networks, support vector machines and X...

Full description

Saved in:
Bibliographic Details
Main Authors: Faiçal El Ouadrhiri, Abderrazzak Adachi, Imane Mehdaoui, Fatima Moussaoui, Khalil Fouad, Abdelhadi Lhassani, Mehdi Chaouch, Amal Lahkimi
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Desalination and Water Treatment
Subjects:
Hydrothermal carbonization
H2O2
Hydrochar
Almond Shell
BBD
RSM
Online Access:http://www.sciencedirect.com/science/article/pii/S1944398624001760
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items