TY - GEN

T1 - Power Consumption in Refrigeration Systems - Modeling for Optimization

A1 - Hovgaard,Tobias Gybel

A1 - Larsen,Lars F. S.

A1 - Skovrup,Morten Juel

A1 - Jørgensen,John Bagterp

AU - Hovgaard,Tobias Gybel

AU - Larsen,Lars F. S.

AU - Skovrup,Morten Juel

AU - Jørgensen,John Bagterp

PB - IEEE

PY - 2011

Y1 - 2011

N2 - Refrigeration systems consume a substantial amount of energy. Taking for instance supermarket refrigeration systems as an example they can account for up to 50−80% of the total energy consumption in the supermarket. Due to the thermal capacity made up by the refrigerated goods in the system there is a possibility for optimizing the power consumption by utilizing load shifting strategies. This paper describes the dynamics and the modeling of a vapor compression refrigeration system needed for sufficiently realistic estimation of the power consumption and its minimization. This leads to a non-convex function with possibly multiple extrema. Such a function can not directly be optimized by standard methods and a qualitative analysis of the system’s constraints is presented. The description of power consumption contains nonlinear terms which are approximated by linear functions in the control variables and the error by doing so is investigated. Finally a minimization procedure for the presented problem is suggested.

AB - Refrigeration systems consume a substantial amount of energy. Taking for instance supermarket refrigeration systems as an example they can account for up to 50−80% of the total energy consumption in the supermarket. Due to the thermal capacity made up by the refrigerated goods in the system there is a possibility for optimizing the power consumption by utilizing load shifting strategies. This paper describes the dynamics and the modeling of a vapor compression refrigeration system needed for sufficiently realistic estimation of the power consumption and its minimization. This leads to a non-convex function with possibly multiple extrema. Such a function can not directly be optimized by standard methods and a qualitative analysis of the system’s constraints is presented. The description of power consumption contains nonlinear terms which are approximated by linear functions in the control variables and the error by doing so is investigated. Finally a minimization procedure for the presented problem is suggested.

UR - http://www.adconip2011.org/default.php?getpage=scope

SN - 978-1-4244-7460-8

VL - 2011

BT - Proceedings of the 4th International Symposium on Advanced Control of Industrial Processes

T2 - Proceedings of the 4th International Symposium on Advanced Control of Industrial Processes

SP - 234

EP - 239

ER -