Data-Driven Machine Learning Approach for Predicting the Higher Heating Value of Different Biomass Classes
Higher heating values (HHV) is a very useful parameter for assessing the design and large-scale operation of biomass-driven energy systems. HHV is conventionally measured experimentally with an adiabatic oxygen bomb calorimeter. This procedure is often time-consuming and expensive. Furthermore, limi...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Clean Technologies |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-8797/4/4/75 |