This paper deals with the development of a control oriented model for a real cooling station serving a large business/commercial area with about 65,000 square meters of spaces and 3,000 permanent workplaces. The model is derived by focusing on one of the subsystems at a time, eventually simulating the physical closed-loop present in the plant. Since first principle equations would be impractical in view of the dimension and uncertainty of the system, the model largely relies on black-box relations estimated from the available measurements. The final model can be used for the design of an optimization-based model predictive control algorithm.

Identication of the cooling system of a large business center

E. Terzi;L. Fagiano;M. Farina;R. Scattolini
2018

Abstract

This paper deals with the development of a control oriented model for a real cooling station serving a large business/commercial area with about 65,000 square meters of spaces and 3,000 permanent workplaces. The model is derived by focusing on one of the subsystems at a time, eventually simulating the physical closed-loop present in the plant. Since first principle equations would be impractical in view of the dimension and uncertainty of the system, the model largely relies on black-box relations estimated from the available measurements. The final model can be used for the design of an optimization-based model predictive control algorithm.
Proceedings of the 18th IFAC Symposium on System Identification
AUT
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1062924
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