Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps
Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming devices in buildings. Nowadays, due to the high demand for HVAC system installation in buildings, designing an effective controller in order to decrease the energy consumption of the devices while meeting the th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73786/ http://psasir.upm.edu.my/id/eprint/73786/1/Review%20of%20control%20techniques%20for%20HVAC%20systems-nonlinearity%20approaches%20based%20on%20fuzzy%20cognitive%20maps.pdf |
| _version_ | 1848857360420831232 |
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| author | Behrooz, Farinaz Mariun, Norman Marhaban, Mohammad Hamiruce Mohd Radzi, Mohd Amran Ramli, Abdul Rahman |
| author_facet | Behrooz, Farinaz Mariun, Norman Marhaban, Mohammad Hamiruce Mohd Radzi, Mohd Amran Ramli, Abdul Rahman |
| author_sort | Behrooz, Farinaz |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming devices in buildings. Nowadays, due to the high demand for HVAC system installation in buildings, designing an effective controller in order to decrease the energy consumption of the devices while meeting the thermal comfort demands in buildings are the most important goals of control designers. The purpose of this article is to investigate the different control methods for Heating, Ventilating, and Air Conditioning and Refrigeration (HVAC & R) systems. The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems. The FCM method is an intelligent and advanced control technique to address the nonlinearity, Multiple-Input and Multiple-Output (MIMO), complexity and coupling effect features of the systems. The significance of this method and improvements by this method are compared with other methods. |
| first_indexed | 2025-11-15T11:56:19Z |
| format | Article |
| id | upm-73786 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:56:19Z |
| publishDate | 2018 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-737862020-05-08T17:46:39Z http://psasir.upm.edu.my/id/eprint/73786/ Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps Behrooz, Farinaz Mariun, Norman Marhaban, Mohammad Hamiruce Mohd Radzi, Mohd Amran Ramli, Abdul Rahman Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming devices in buildings. Nowadays, due to the high demand for HVAC system installation in buildings, designing an effective controller in order to decrease the energy consumption of the devices while meeting the thermal comfort demands in buildings are the most important goals of control designers. The purpose of this article is to investigate the different control methods for Heating, Ventilating, and Air Conditioning and Refrigeration (HVAC & R) systems. The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems. The FCM method is an intelligent and advanced control technique to address the nonlinearity, Multiple-Input and Multiple-Output (MIMO), complexity and coupling effect features of the systems. The significance of this method and improvements by this method are compared with other methods. MDPI 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73786/1/Review%20of%20control%20techniques%20for%20HVAC%20systems-nonlinearity%20approaches%20based%20on%20fuzzy%20cognitive%20maps.pdf Behrooz, Farinaz and Mariun, Norman and Marhaban, Mohammad Hamiruce and Mohd Radzi, Mohd Amran and Ramli, Abdul Rahman (2018) Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps. Energies, 11 (3). art. no. 495. pp. 1-41. ISSN 1996-1073; ESSN: 1996-1073 https://www.mdpi.com/1996-1073/11/3/495/htm 10.3390/en11030495 |
| spellingShingle | Behrooz, Farinaz Mariun, Norman Marhaban, Mohammad Hamiruce Mohd Radzi, Mohd Amran Ramli, Abdul Rahman Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title | Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title_full | Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title_fullStr | Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title_full_unstemmed | Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title_short | Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps |
| title_sort | review of control techniques for hvac systems-nonlinearity approaches based on fuzzy cognitive maps |
| url | http://psasir.upm.edu.my/id/eprint/73786/ http://psasir.upm.edu.my/id/eprint/73786/ http://psasir.upm.edu.my/id/eprint/73786/ http://psasir.upm.edu.my/id/eprint/73786/1/Review%20of%20control%20techniques%20for%20HVAC%20systems-nonlinearity%20approaches%20based%20on%20fuzzy%20cognitive%20maps.pdf |