Modeling of Sewage Sludge Flow in a Continuous Paddle Dryer

Abstract

A model based on the theory of Markov chains has been developed to represent the residence time distribution (RTD) of municipal sewage sludge in a continuous paddle dryer. The flow of dry solids is described by a chain of n perfectly mixed cells, n corresponding to the number of paddles attached to the shaft. The transition probabilities between the cells are governed by two parameters: the parameter of internal recirculation, R, and the solids hold-up, Hu. In the absence of available correlation, both parameters are identified by fitting the model to experimental RTD data. The model demonstrates its ability to describe the sludge flow in a continuous lab-scale paddle dryer. A sensitivity analysis highlights that R is critical for the treatment uniformity while Hu controls the mean residence time and thus the final moisture content.

Keywords:

• Cells model
• Experiment
• Markov chains
• Residence time distribution
• Stochastic approach

ACKNOWLEDGMENT

The authors would like to acknowledge Bernard AUDUC for kind technical assistance in the construction and development of the experimental set-up.