Ghugare et al (2014) contains a data set where different biomass fuels are characterized by the amount of certain molecules (carbon, hydrogen, oxygen, nitrogen, and sulfur) and the corresponding higher heating value (HHV). These data are from their Table S.2 of the Supplementary Materials

Source

Ghugare, S. B., Tiwary, S., Elangovan, V., and Tambe, S. S. (2013). Prediction of Higher Heating Value of Solid Biomass Fuels Using Artificial Intelligence Formalisms. BioEnergy Research, 1-12.

Value

biomass

a data frame

Examples

data(biomass) str(biomass)
#> 'data.frame': 536 obs. of 8 variables: #> $ sample : chr "Akhrot Shell" "Alabama Oak Wood Waste" "Alder" "Alfalfa" ... #> $ dataset : chr "Training" "Training" "Training" "Training" ... #> $ carbon : num 49.8 49.5 47.8 45.1 46.8 ... #> $ hydrogen: num 5.64 5.7 5.8 4.97 5.4 5.75 5.99 5.7 5.5 5.9 ... #> $ oxygen : num 42.9 41.3 46.2 35.6 40.7 ... #> $ nitrogen: num 0.41 0.2 0.11 3.3 1 2.04 2.68 1.7 0.8 1.2 ... #> $ sulfur : num 0 0 0.02 0.16 0.02 0.1 0.2 0.2 0 0.1 ... #> $ HHV : num 20 19.2 18.3 18.2 18.4 ...