The use of NARX neural network for modeling of adsorption of zinc ions using activated almond shell as a potential biosorbent.

In this study, nonlinear autoregressive model processes with exogenous input (NARX) are applied for the prediction of percentage adsorption efficiency for the removal of zinc ions from wastewater by activated almond shell. The effect of operational parameters such as pH, dosage, particle size and initial metal ions concentration are studied to optimize the conditions for […]

Effects of fragmentation and particle size on the fuel properties of hazelnut shells

Fragmentation of biomass leading to the formation of very fine particles is a serious concern particularly in biomass burning systems because of their enormous thermal reactivity. Some types of biomass species have a considerable tendency to form such problematic dusts. For this purpose, the extent of size fragmentation during breaking, storage, and transportation was investigated […]