Journal article
A tool for evaluating fault detection and diagnostic methods for fan coil units
Energy and buildings, v 136, pp 151-160
01 Feb 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Dynamic simulation tools that could accurately simulate operational data for both the fault-free and faulty dynamic operation of heating, ventilation, and air conditioning (HVAC) systems and equipment are needed for developing and evaluating advanced control and automated fault detection and diagnosis strategies. Among various HVAC subsystems, fan coil units (FCUs) are relatively simple, inexpensive devices that are used extensively in commercial, institutional and multifamily residential buildings. However, very little has been reported in the literature to improve FCU design and operation. There has also been a lack of dynamic simulation tool development focusing on FCUs. The work reported in this study aims at developing and validating a software tool to simulate operational data generated from FCUs that are operated dynamically under both faulty and fault-free conditions. A comprehensive and systematic validation process, using data collected from real FCUs in a laboratory building, is used to validate the tool under both faulty and fault-free operating conditions in different seasons. The validated tool not only is able to predict real-world FCU behaviors under different control strategies, but it is also able to predict symptoms associated with various faults, as well as the effects of those faults on system performance and occupant comfort. (C) 2016 Elsevier B.V. All rights reserved.
Metrics
Details
- Title
- A tool for evaluating fault detection and diagnostic methods for fan coil units
- Creators
- Shokouh Pourarian - Drexel UniversityJin Wen - Drexel UniversityDaniel Veronica - National Institute of Standards and TechnologyAmanda Pertzborn - National Institute of Standards and TechnologyXiaohui Zhou - Iowa Energy Center, Ankeny, IA, United StatesRan Liu - Iowa Energy Center, Ankeny, IA, United States
- Publication Details
- Energy and buildings, v 136, pp 151-160
- Publisher
- Elsevier
- Number of pages
- 10
- Grant note
- NIST 10D243 / United states National Institute of Standard and Technology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000392354100013
- Scopus ID
- 2-s2.0-85002702504
- Other Identifier
- 991019168674604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Energy & Fuels
- Engineering, Civil