From Consumption to Prosumption - Operational Cost Optimization for Refrigeration System With Heat Waste Recovery

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Abstract

Implementation of liquid cooling transforms a refrigeration system into a combined cooling and heating system. Reclaimed heat can be used for building heating purposes or can be sold. Carbon dioxide based refrigeration systems are considered to have a particularly high potential for becoming ecient heat energy producers. In this paper a CO2 system that operates in the subcritical region is examined. Modelling approach is presented, and used for operation optimisation by way of non-linear model predictive control techniques. Assuming that the heat is
sold when using both objective functions, it turns out that the system have negative operational cost. In case when Cost Minimization objective function is used daily revenue is about 7:9 [eur], for Prosumption one it is 11:9 [eur].
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Implementation of liquid cooling transforms a refrigeration system into a combined cooling and heating system. Reclaimed heat can be used for building heating purposes or can be sold. Carbon dioxide based refrigeration systems are considered to have a particularly high potential for becoming ecient heat energy producers. In this paper a CO2 system that operates in the subcritical region is examined. Modelling approach is presented, and used for operation optimisation by way of non-linear model predictive control techniques. Assuming that the heat is
sold when using both objective functions, it turns out that the system have negative operational cost. In case when Cost Minimization objective function is used daily revenue is about 7:9 [eur], for Prosumption one it is 11:9 [eur].
Original languageEnglish
Title of host publicationIFAC 2017 World Congress
Number of pages6
Publication date2017
StateSubmitted - 2017
Publication categoryResearch
Peer-reviewedYes
Event2017 IFAC Congress -
Duration: 9 Jul 201714 Jul 2017
https://www.ifac2017.org/

Conference

Conference2017 IFAC Congress
Periode09/07/201714/07/2017
Internetadresse
ID: 249320775