HVAC system modeling and control: Vapor compression system modeling and control

Bryan P. Rasmussen, Christopher Price, Justin Koeln, Bryan Keating, Andrew Alleyne

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we delve deeper into understanding modeling and control approaches for one of the important subsystems in an intelligent building, the HVAC system. Specifically, Vapor Compression Systems (VCS) are the primary energy systems in building air conditioning, heat pump, and refrigeration systems. We will discuss standard methods for constructing dynamic models of vapor compression systems, and their relative advantages for analysis, design, control design, and fault detection. The principal interests are moving boundary and finite-volume approaches to capture the salient dynamics of two-phase flow heat exchangers. We will present modeling approaches for auxiliary equipment, such as, valves, compressors, fans, dampers, and heating/cooling coils, allowing the reader to understand the construction of typical HVAC system models. We will then highlight limitations of such models and address advanced modeling approaches for challenging transient scenarios. Finally, we give a summary of single-input, single-output control strategies for HVAC system, with simulation and experimental examples to illustrate their effectiveness.

Original languageEnglish (US)
Title of host publicationAdvances in Industrial Control
PublisherSpringer International Publishing
Pages73-103
Number of pages31
Edition9783319684611
DOIs
StatePublished - Jan 1 2018

Publication series

NameAdvances in Industrial Control
Number9783319684611
ISSN (Print)1430-9491
ISSN (Electronic)2193-1577

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Automotive Engineering
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Rasmussen, B. P., Price, C., Koeln, J., Keating, B., & Alleyne, A. (2018). HVAC system modeling and control: Vapor compression system modeling and control. In Advances in Industrial Control (9783319684611 ed., pp. 73-103). (Advances in Industrial Control; No. 9783319684611). Springer International Publishing. https://doi.org/10.1007/978-3-319-68462-8_4