Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge

Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge

Sewage sludge hydrochars (SSHs), which are produced by hydrothermal carbonization (HTC), offer a high calorific value to be applied as a biofuel. However, HTC is a complex processand the properties of the resulting product depend heavily on the process conditions and feedstock composition. In this w...

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Bibliographic Details
Main Authors: Theodoros N. Kapetanakis, Ioannis O. Vardiambasis, Christos D. Nikolopoulos, Antonios I. Konstantaras, Trinh Kieu Trang, Duy Anh Khuong, Toshiki Tsubota, Ramazan Keyikoglu, Alireza Khataee, Dimitrios Kalderis
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
sewage sludge
hydrothermal carbonization
hydrochar
artificial neural networks
machine learning
waste management
Online Access:https://www.mdpi.com/1996-1073/14/11/3000

Internet

https://www.mdpi.com/1996-1073/14/11/3000

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