Data-Driven Machine Learning Approach for Predicting the Higher Heating Value of Different Biomass Classes
(2022)
Journal Article
Afolabi, I. C., Epelle, E. I., Gunes, B., Güleç, F., & Okolie, J. A. (2022). Data-Driven Machine Learning Approach for Predicting the Higher Heating Value of Different Biomass Classes. Clean Technologies, 4(4), 1227-1241. https://doi.org/10.3390/cleantechnol4040075
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 oft... Read More about Data-Driven Machine Learning Approach for Predicting the Higher Heating Value of Different Biomass Classes.