Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Tool for Evaluating Fault Detection and Diagnostic Methods for Fan Coil Units

Published

Author(s)

Shokouh Pourarian, Jin Wen, Daniel A. Veronica, Xiaohui Zhou, Ran Liu

Abstract

Dynamic simulation software “tools” are needed for the research and development of improved methods for automatic control and automated fault detection and diagnosis of heating ventilation and air conditioning (HVAC) systems. These tools must generate data accurately simulating the real data that instruments would record from both fault-free and faulty dynamic operation of HVAC systems and equipment. Fan coil units (FCU), are simple, economical devices used extensively in the HVAC systems of commercial, institutional and multifamily residential buildings. However, very little has been reported in the literature to improve their design and operation. There has also been a lack of dynamic simulation tool development focusing on FCUs. The work here develops a tool to simulate data from FCUs operating dynamically under faulty and fault-free conditions. A comprehensive and systematic validation procedure, using data collected experimentally from real FCUs in a laboratory, is used to validate the tool under both faulty and fault-free operating conditions in different seasons. The validated tool not only predicts real-world FCU behavior under different control strategies, but it also predicts symptoms associated with various faults, as well as the effects those faults have on system performance and occupant comfort.
Proceedings Title
2014 ASHRAE Annual Conference
Conference Dates
June 28-July 2, 2014
Conference Location
Seattle, WA

Keywords

HVAC, simulation, component modeling, fault detection, diagnostics, FDD

Citation

Pourarian, S. , Wen, J. , Veronica, D. , Zhou, X. and Liu, R. (2014), A Tool for Evaluating Fault Detection and Diagnostic Methods for Fan Coil Units, 2014 ASHRAE Annual Conference, Seattle, WA (Accessed July 31, 2021)
Created June 29, 2014, Updated February 19, 2017