Intelligent lighting control system for energy savings in office building
Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function o...
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| Format: | Article |
| Language: | en |
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2018
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| Online Access: | http://eprints.uthm.edu.my/7200/1/J14060_76d5c75f2cfc2c63c2df4ebb9b1970f3.pdf http://eprints.uthm.edu.my/7200/ https://doi.org/10.11591/ijeecs.v11.i1.pp195-202 |
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| _version_ | 1833418308422991872 |
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| author | Wagiman, Khairul Rijal Abdullah, Mohd Noor |
| author_facet | Wagiman, Khairul Rijal Abdullah, Mohd Noor |
| author_sort | Wagiman, Khairul Rijal |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Lighting system is a crucial sub-system and consumes substantial electricity
energy in the buildings. This paper proposes an intelligent lighting control
system using artificial neural network (ANN). The minimization of dimming
levels of luminaires has been considered as an objective function of the
controller. Moreover, the light sensor field of view is also taken into
consideration in objective function formulation. The proposed ANN
controller has been tested on an actual office room of the Department of
Mechanical Technology, Institute of Industrial Training, Selandar, Melaka,
Malaysia. The simulation has been carried out using DIALux simulation
lighting software. Based on the results, the proposed controller showed great
performance in terms of adaptive less light sensor data and achieving
dimming levels target that complies the European Standard EN12464-1.
Furthermore, it can save energy up to 34%. |
| format | Article |
| id | my.uthm.eprints-7200 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2018 |
| record_format | eprints |
| spelling | my.uthm.eprints-72002022-06-21T02:07:13Z http://eprints.uthm.edu.my/7200/ Intelligent lighting control system for energy savings in office building Wagiman, Khairul Rijal Abdullah, Mohd Noor TK4125-4399 Electric lighting Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%. 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/7200/1/J14060_76d5c75f2cfc2c63c2df4ebb9b1970f3.pdf Wagiman, Khairul Rijal and Abdullah, Mohd Noor (2018) Intelligent lighting control system for energy savings in office building. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 195-202. ISSN 2502-4752 https://doi.org/10.11591/ijeecs.v11.i1.pp195-202 |
| spellingShingle | TK4125-4399 Electric lighting Wagiman, Khairul Rijal Abdullah, Mohd Noor Intelligent lighting control system for energy savings in office building |
| title | Intelligent lighting control system for energy savings in office building |
| title_full | Intelligent lighting control system for energy savings in office building |
| title_fullStr | Intelligent lighting control system for energy savings in office building |
| title_full_unstemmed | Intelligent lighting control system for energy savings in office building |
| title_short | Intelligent lighting control system for energy savings in office building |
| title_sort | intelligent lighting control system for energy savings in office building |
| topic | TK4125-4399 Electric lighting |
| url | http://eprints.uthm.edu.my/7200/1/J14060_76d5c75f2cfc2c63c2df4ebb9b1970f3.pdf http://eprints.uthm.edu.my/7200/ https://doi.org/10.11591/ijeecs.v11.i1.pp195-202 |
| url_provider | http://eprints.uthm.edu.my/ |