ON LINE PREDICTION OF BATCH ADSORPTION SYSTEM

Abstract

Adsorption offers an effective method for water and waste water treatment. It produces a high quality-treated water, meeting the requirements of environmental pollution legislation, at a price comparable with secondary biological treatment. Although several mathematical models are available for the design of adsorption, a little work has been done in the field of performance prediction. Though mechanistic models have been used for the performance prediction of fixed bed adsorption system, the same is lacking for batch adsorption system. In the present study the possible use of branched pore kinetic model and recursive algorithms for the performance prediction of batch adsorption system has been studied. For the assesment of the models' short-term performance prediction ability, a large number of available data of the experimental contact time verses concentration for different batch adsorption systems were considered. From the analysis of data it has been found that mechanistic as well as recursive model are equally effective in short term performance prediction. However from operation point of view, the use of recursive algorithms is likely to be preferred because of its simplicity.