Mechanisms, methods and applications of machine learning in bio-alcohol production and utilization: A review

This article reviews the mechanisms, methods, and applications of ML in the bio-alcohols field. In terms of mechanisms, we describe the workflow of ML applications, emphasizing the importance of a well-defined research problem and complete feature engineering for a robust model. Prediction and optimization are the main application scenarios. In terms of methods, we illustrate the characteristics of different ML models and analyze their applicability in the bio-alcohol field. The role of ML in the production of bio-methanol by pyrolysis and gasification, as well as in the three stages of fermentation for bioethanol production are highlighted. In terms of utilization, ML is used to optimize engine performance and reduce emissions. This review provides guidance on how to use novel ML methods in the bio-alcohol field, showing the potential of ML to streamline work in the whole biofuel field.PMID:37716556 | DOI:10.1016/j.chemosphere.2023.140191

Source: Chemosphere - September 16, 2023 Category: Chemistry Authors: Chen Wang Xuemeng Zhang Guohua Zhao Yinguang Chen Source Type: research