Avaliação de máquina secadora da polpa da celulose utilizando Software Aspen Plus.

Abstract

This report presents the performance evaluation of a cellulose pulp drying machine using the Aspen Plus software. The study was conducted at the Reference Laboratory for Control and Automation (LARCA) of the Federal University of Campina Grande as part of the mandatory internship for the Chemical Engineering undergraduate program. The research aimed to model, simulate, and optimize the cellulose pulp drying process, validating the results with real operational data. Computational modeling methodologies, data analysis, and parameter adjustment were applied to develop a model that accurately represented the equipment's behavior. Additionally, different operational scenarios were analyzed to identify opportunities for process optimization and energy efficiency improvement. The results indicated that the modeling satisfactorily reproduced the real process, enabling inferences about potential operational improvements. However, some limitations related to model convergence in specific scenarios were identified, suggesting the need for future studies to assess dynamic regime performance.