An Efficient and Unified Modeling Framework for Trickle Bed Reactors: A Modular Approach
Trickle bed reactors (TBRs) involve complex and multiscale dynamics that challenge their design, modeling, and optimization.
Dr.-Ing. Vasileios K. Mappas and Univ.-Prof. Dr.-Ing. Harvey Arellano-Garcia, Brandenburgische Technische Universität Cottbus-Senftenberg, Fachgebiet Prozess- und Anlagentechnik
Current approaches often suffer from high computational cost and limited scalability, restricting their applicability in large-scale cases. This work introduces a modular, computationally efficient framework to address these issues by systematically capturing key transport and reaction phenomena. Furthermore, it provides a critical review of existing modeling strategies for TBRs, outlining their strengths and limitations and highlighting opportunities for enhancement through modularization. By offering a structured and scalable approach, the proposed framework improves predictive capabilities and supports the development of optimized and adaptable reactor designs.
