Journal
BIORESOURCE TECHNOLOGY
Volume 343, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2021.126099
Keywords
Bioenergy; Biofuels; Machine learning; Lignocellulosic biomass; Algae
Funding
- National Natural Science Foundation of China [52022015, 51876016]
- Fundamental Research Funds for Central Universities [2020CDJQY-A054]
- State Key Program of National Natural Science of China [51836001]
- Creative Research Groups of the National Natural Science Foundation of China [52021004]
Ask authors/readers for more resources
The development and application of bioenergy and biofuels conversion technology are crucial for producing renewable and sustainable energy sources in the future. However, due to the complexity of bioenergy systems and human limitations in understanding, machine learning provides new opportunities. The latest advances in machine learning assisted bioenergy technology show great potential in driving the development of a new generation of bioenergy and biofuels conversion technologies in the future.
The development and application of bioenergy and biofuels conversion technology can play a significant role for the production of renewable and sustainable energy sources in the future. However, the complexity of bioenergy systems and the limitations of human understanding make it difficult to build models based on experience or theory for accurate predictions. Recent developments in data science and machine learning (ML), can provide new opportunities. Accordingly, this critical review provides a deep insight into the application of ML in the bioenergy context. The latest advances in ML assisted bioenergy technology, including energy utilization of lignocellulosic biomass, microalgae cultivation, biofuels conversion and application, are reviewed in detail. The strengths and limitations of ML in bioenergy systems are comprehensively analysed. Moreover, we highlight the capabilities and potential of advanced ML methods when encountering multifarious tasks in the future prospects to advance a new generation of bioenergy and biofuels conversion technologies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available