Worldwide efforts in process intensification led to innovative designs for distillation, notably known as an energy-intensive process. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit. The thermal network-based model was able to predict accurately the transient behavior and steady-state temperature of the two-phase closed thermosyphon. The experimental and predicted transfer coefficients showed reasonable agreement within the ±25% deviation band. A feedback control of the thermosyphon's evaporator temperature is performed in Simulink® to manage the steam chamber temperature. PID technique is adopted to achieve faster and smoother the control target, with the secondary effect to reduce mechanical stresses, increasing life cycle, and reducing energy consumption by 3.1%.

Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit

Manenti F.;
2020-01-01

Abstract

Worldwide efforts in process intensification led to innovative designs for distillation, notably known as an energy-intensive process. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit. The thermal network-based model was able to predict accurately the transient behavior and steady-state temperature of the two-phase closed thermosyphon. The experimental and predicted transfer coefficients showed reasonable agreement within the ±25% deviation band. A feedback control of the thermosyphon's evaporator temperature is performed in Simulink® to manage the steam chamber temperature. PID technique is adopted to achieve faster and smoother the control target, with the secondary effect to reduce mechanical stresses, increasing life cycle, and reducing energy consumption by 3.1%.
Dynamic modeling
Energy consumption minimization
Falling film distillation
Temperature control
Thermal network-based model
Two-phase closed thermosyphon
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1156931
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