Abstract
In this work, the potential energy savings from adapting to daily ambient temperature differences for frozen cargo in reefer containers are studied using a model of the Star Cool reefer. The objective is to create a controller that can be implemented on an embedded system, and a range of methods are used to reduce the computational load. A combination of MPC and traditional control is used, and the accuracy of the MPC is enhanced with an on-line update of the model parameters. The simulation experiments show that potential energy savings of up to 21% are achieved when the MPC is allowed to control both the cooling capacity and the ventilation of the cargo area. The largest cost reduction is achieved through a reduced ventilation rate.
Original language | English |
---|---|
Journal | Control Engineering Practice |
Volume | 44 |
Pages (from-to) | 55-64 |
Number of pages | 10 |
ISSN | 0967-0661 |
DOIs | |
Publication status | Published - 1 Nov 2015 |