Load-predictive temperature control of an air conditioning and refrigeration system

Bin Li, William Mohs, Andrew Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In air conditioning and refrigeration (ACR) systems, the established industry method of capacity control is compressor ON/OFF cycling operations. This paper presents the design of load-predictive controller using compressor ON/OFF operations for temperature regulation with a target application of transport refrigeration systems. A dynamic ACR system model, which consists of a refrigerated cargo space, and a vapor compressor cycle (VCC) system, is developed. The validated VCC model is presented that captures compressor ON/OFF duty cycling dynamics. The dynamic cargo space model is described to accommodate varying conditions, such as door openings. The load-predictive controller tracks the pre-cool and predictive refrigeration load information which is generated based on the operating conditions in the next door-opening event, and decides to operate the VCC system with either normal ON/OFF control or pre-cool actions. Simulation results show that improved cargo space temperature regulation is obtained by implementing the load-predictive control strategy over the baseline industrial hysteretic control scheme in the coupled VCC/cargo space system.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages1385-1391
Number of pages7
EditionPART B
ISBN (Print)9780791848920
DOIs
StatePublished - 2010
Externally publishedYes
Event2009 ASME Dynamic Systems and Control Conference, DSCC2009 - Hollywood, CA, United States
Duration: Oct 12 2009Oct 14 2009

Publication series

NameProceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009
NumberPART B

Other

Other2009 ASME Dynamic Systems and Control Conference, DSCC2009
Country/TerritoryUnited States
CityHollywood, CA
Period10/12/0910/14/09

Fingerprint

Dive into the research topics of 'Load-predictive temperature control of an air conditioning and refrigeration system'. Together they form a unique fingerprint.

Cite this