Non-linear model predictive supervisory controller for building, air handling unit with recuperator and refrigeration system with heat waste recovery

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

In this paper we examine a supermarket system. In order to grasp the most important dynamics we present a model that includes the single zone building thermal envelope with its heating, cooling and ventilation. Moreover we include heat waste recovery from the refrigeration high pressure side. The retrieved heat excess can be stored in the water tank. For this purpose the charging and the discharging water loops has been designed. We present the non-linear model of the above described system and a non-linear model predictive supervisory controller that according to the received price signal, occupancy information and ambient temperature minimizes the operation cost of the whole system and distributes set points to local controllers of supermarkets subsystems. We find that when reliable information about the high price period is available, it is profitable to use the refrigeration system to generate heat during the low price period, store it and use it to substitute the conventional heater during the high price period.
Original languageEnglish
Title of host publicationControl Applications (CCA), 2016 IEEE Conference on
PublisherIEEE
Publication date2016
Pages1274-1281
ISBN (Print)978-1-5090-0756-1
ISBN (Electronic)978-1-5090-0755-4
DOIs
Publication statusPublished - 2016
Event2016 IEEE Conference on Control Applications (CCA) - Buenos Aires, Argentina
Duration: 19 Sep 201622 Sep 2016

Conference

Conference2016 IEEE Conference on Control Applications (CCA)
CountryArgentina
CityBuenos Aires
Period19/09/201622/09/2016
SeriesIEEE International Conference on Control Applications

Fingerprint Dive into the research topics of 'Non-linear model predictive supervisory controller for building, air handling unit with recuperator and refrigeration system with heat waste recovery'. Together they form a unique fingerprint.

Cite this