Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review
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 are...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/1/341 |
| _version_ | 1797499086908162048 |
|---|---|
| author | Amir Rafati Hamid Reza Shaker Saman Ghahghahzadeh |
| author_facet | Amir Rafati Hamid Reza Shaker Saman Ghahghahzadeh |
| author_sort | Amir Rafati |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:42:25Z |
| format | Article |
| id | doaj.art-53b792bd3d974f9b8f97c40fd7919589 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:42:25Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-53b792bd3d974f9b8f97c40fd79195892023-11-23T11:29:19ZengMDPI AGEnergies1996-10732022-01-0115134110.3390/en15010341Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A ReviewAmir Rafati0Hamid Reza Shaker1Saman Ghahghahzadeh2Department of Electrical Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman 6491796581, IranCenter for Energy Informatics, University of Southern Denmark, 5230 Odense, DenmarkDepartment of Electrical Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman 6491796581, IranHeat, 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.https://www.mdpi.com/1996-1073/15/1/341non-intrusive load monitoringHVACfault detection and diagnosisenergy efficiency |
| spellingShingle | Amir Rafati Hamid Reza Shaker Saman Ghahghahzadeh Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review Energies non-intrusive load monitoring HVAC fault detection and diagnosis energy efficiency |
| title | Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review |
| title_full | Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review |
| title_fullStr | Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review |
| title_full_unstemmed | Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review |
| title_short | Fault Detection and Efficiency Assessment for HVAC Systems Using Non-Intrusive Load Monitoring: A Review |
| title_sort | fault detection and efficiency assessment for hvac systems using non intrusive load monitoring a review |
| topic | non-intrusive load monitoring HVAC fault detection and diagnosis energy efficiency |
| url | https://www.mdpi.com/1996-1073/15/1/341 |
| work_keys_str_mv | AT amirrafati faultdetectionandefficiencyassessmentforhvacsystemsusingnonintrusiveloadmonitoringareview AT hamidrezashaker faultdetectionandefficiencyassessmentforhvacsystemsusingnonintrusiveloadmonitoringareview AT samanghahghahzadeh faultdetectionandefficiencyassessmentforhvacsystemsusingnonintrusiveloadmonitoringareview |