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Indoor and Built Environment, Vol. 14, No. 5, 371-380 (2005)
DOI: 10.1177/1420326X05057467

Numerical Simulation and Controller Development for Energy Transfer in Imperfectly Mixed Fluids

T. Zerihun Desta

A. Van Brecht

Laboratory for Agricultural Buildings Research, Catholic University of Leuven, Celestijnenlaan 300A

J. Meyers

M. Baelmans

Applied Mechanics and Energy Conversion Section, Department of Mechanical Engineering, Catholic University of Leuven, Celestijnenlaan 300A

D. Berckmans

Laboratory for Agricultural Buildings Research, Catholic University of Leuven, Celestijnenlaan 300A

This paper describes the possibility of using Computational Fluid Dynamics (CFD) models for developing Model Predictive Controller (MPC) algorithms. In this work a complex CFD model is combined with a reduced order Data-Based Mechanistic (DBM) formulation so that the low-order model can be used for control applications. To demonstrate the methodology, a Single Input-Single Output (SISO) ventilated installation is used. Initially, a CFD model is used for the installation. At the inlet a step rise in air temperature is applied and temperature responses at 36 monitoring positions are extracted. Then a reduced order model is formulated for the test case and model parameters are identified using the data generated by the CFD model. Finally the reduced order CFD model is used to develop an MPC algorithm. The developed algorithm is found to be robust for disturbance effects and capable of tracking the desired reference temperature trajectory very well.

Key Words: Computational Fluid Dynamics • Model • Disturbance • Robust • Temperature • Model Predictive Controller


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