Prediction of the impact of screening on refuse-derived fuel quality. Final report

This study investigates systems used to recover refuse derived fuel (RDF) from municipal solid waste and the means of predicting and evluating performance of these systems. In addition to detailed analysis of two resource recovery systems, modeling techniques were employed to predict system performance for different processing options and operating conditions. Models were developed for four unit processes: (1) size reduction, (2) air classification, (3) magnetic separation, and ($9 pre-trommeling. Results of the analysis show that screening of either raw refuse or the product air classified light fraction improves the combustion properties of the RDF by reducing the ash, glass and moisture contents.