| To discuss the feasibility of using organic element contents of pig manure to predict calorific value,
the paper built a prediction model of gross calorific value and net calorific value based on the contents of organic
elements. 160 pig manure samples were collected, and their C,H,N,S,O element contents were measured by EA3000
and gross calorific value and net calorific value were measured by IKA-C2000 bomb calorimeters. Simple correlation
analysis result showed that the contents of C,H,N had very significantly positive correlation with calorific value, while
the contents of S and O had no significantly positive correlation with calorific value. 120 samples were selected to
build the model, results indicated that the calorific value prediction model based on C,H,N element contents using
multiple linear regression analysis could accurately use C,H,N to predict calorific value of pig manure. The
determination coefficient of the prediction model of gross calorific value and net calorific value were 0.836 and 0.785
respectively. In the 40 samples used for the external validation, the root-mean-square error of gross calorific value
was 621.31 J/g, and the relative root-mean-square error was 3.74%; the root-mean-square error of net calorific
value was 620.85 J/g, and the relative root-mean-square error was 4.06%. It was concluded that the calorific value
prediction model of pig manure based on organic element contents by built using multiple linear regression analysis
method could predict the gross and net calorific values accurately. |
