Supplementary information dataset for "The implementation of a simplex-centroid mixture design approach to generate components of sugar industry by-products for usage as biomass pellets"

It is the supplementary data to the paper "The implementation of a simplex-centroid mixture design approach to generate components of sugar industry by-products for usage as biomass pellets"AbstractThe current study aimed to improve the efficiency of raw materials that were by-products of the sugar industry, such as sugarcane trash leaves (SCL), sugarcane bagasse (SCB), and filter cake (FTC), in order to obtain a mixture ratio with good thermal properties that could be used as a renewable energy source. The generated model offered an acceptable estimate of HHV with an R2 of 96.46, a mean absolute error (MAE) of 3.45%, and a mean bias error (MBE) of -1.83%, while the second portion was a simplex-centroid mixture design used to assess LHV of sugar industrial waste mixture ratios. The results of the LHV prediction equation were found to have an R2 of 93.66%. The prediction equation's assessment and validation generated average absolute error (AAE) of 7.07% and average bias error (ABE) of 6.02%. The outcomes from the design elements applying the simplex-centroid mixture design approach revealed biomass's potential as a fuel and served as essential in advancing the use of byproducts as an alternative energy source in the sugar industry.