MATLAB Model for Designing Mass Exchange Networks: A Case Study on Pyrolysis Plant for Effective Waste Minimization

Document Type


Publication Date

Summer 5-1-2022


Enormous amounts of raw materials are consumed through various industrial processes worldwide. Vast amounts of raw materials utilized by the chemical industry typically go to waste. Mass integration is a distinctive method of streamlining the consumption of raw materials in chem- ical industries. Mass integration was developed by employing principles of pinch analysis in order to optimize mass exchange networks. To apply the concepts of mass integration, this work introduces a Matrix Laboratory (MATLAB) code designed on the bases of the composition driving force graphical design approach. This MATLAB code was devised to analyze details of mass transfer operations with the lowest number of calculations possible. The algorithm’s detailed coding allows for designing mass exchange networks above and below the pinch. For maximum mass recovery, pinch principles were employed, and were delivered in an educational manner to students and young researchers in the field. The MATLAB code was designed to develop a useful toolbox for process integration as well as determine the number of plates required for each mass exchanger. The model was tested at pyrolysis plant with the aim of achieving mass targets and optimum matches for maximum recovery at the lowest costs possible.