Dynamic modeling, efficiency analysis, and hierarchical control of industrial airborne pulp dryers, TAPPI Journal October 2026

 


Application: The proposed model provides mill engineers and researchers with a control-oriented framework for evaluating moisture regulation, airflow and pressure management, and energy performance in industrial airborne pulp dryers. It can also support controller tuning, operating-point optimization, and future plant data-based model validation and digital twin development.

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Author: José M. Campos-Salazar and Jorge Gonzalez-Salazar
Dynamic modeling, efficiency analysis, and hierarchical cont
ABSTRACT: Industrial airborne pulp drying is governed by strongly coupled moisture transport, heat transfer, psychrometric behavior, airflow distribution, pressure dynamics, and fan operation. A nonlinear multi-zone dynamic model was formulated to represent these interactions through coupled mass and energy balances, pressure-driven deck-to-deck airflow, centrifugal-fan dynamics, and through-thickness moisture and temperature transport. Overall and thermal efficiencies, specific energy consumption, and specific moisture evaporation ratio (SMER) were incorporated for energetic assessment. A hierarchical direct synthesis methodology (DSM), comprising moisture•temperature and airflow•fan speed cascade loops with chamber-pressure regulation, was evaluated against proportionalintegral- derivative (PID) control and model predictive control (MPC) benchmarks. The MATLAB simulations of a six-zone dryer predicted progressive moisture reduction toward 0.120 kg H2O/kg dry pulp, overall efficiency near 0.60, thermal efficiency near 0.61, and SMER of approximately 0.95-0.96 kg H2O/kWh. The DSM provided the lowest accumulated moisture-tracking error and smooth control action, while PID control gave comparable fast loop regulation. The current MPC implementation exhibited poorer moisture•thermal tracking, indicating the need for further predictive model refinement and systematic tuning. The formulation provides a controloriented basis for subsequent parameter identification and industrial validation.
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