Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review

Amir Rafati, Hamid Reza Shaker and Saman Ghahghahzadeh
Additional contact information
Amir Rafati: Department of Electrical Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman 6491796581, Iran
Hamid Reza Shaker: Center for Energy Informatics, University of Southern Denmark, 5230 Odense, Denmark
Saman Ghahghahzadeh: Department of Electrical Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman 6491796581, Iran

Energies, 2022, vol. 15, issue 1, 1-16

Abstract: Heat, ventilation, and air conditioning (HVAC) systems are some of the most energy-intensive equipment in buildings and their faulty or inefficient operation can significantly increase energy waste. Non-Intrusive Load Monitoring (NILM), which is a software-based tool, has been a popular research area over the last few decades. NILM can play an important role in providing future energy efficiency feedback and developing fault detection and diagnosis (FDD) tools in smart buildings. Therefore, the review of NILM-based methods for FDD and the energy efficiency (EE) assessment of HVACs can be beneficial for users as well as buildings and facilities operators. To the best of the authors’ knowledge, this paper is the first review paper on the application of NILM techniques in these areas and highlights their effectiveness and limitations. This review shows that even though NILM could be successfully implemented for FDD and the EE evaluation of HVACs, and enhance the performance of these techniques, there are many research opportunities to improve or develop NILM-based FDD methods to deal with real-world challenges. These challenges and future research works are also discussed in-depth.

Keywords: non-intrusive load monitoring; HVAC; fault detection and diagnosis; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/1/341/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/1/341/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:1:p:341-:d:717648

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().