抄録
The purpose of this study is to develop a wireless networked lighting system for office buildings, which can reduce the energy consumption while meeting users' lighting preferences. By using particle swarm optimization, the system is able to optimize the dimming ratio of luminaires according to the real time natural illumination and occupancy condition. In this paper we make a prototype system and test the feasibility and efficiency of the system. The prototype consists of one wireless control module, three illumination sensors and four fluorescent lamps with dimming capacity. The illumination sensors collect and send the data to the control module. After the process of PSO (Particle Swarm Optimization), the module finally sets the power of the lamps according to the PSO result. After real experiments in a certain designed office, it was proved that the system can successfully control the illuminations, and can save considerable energy.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 1298-1302 |
| ページ数 | 5 |
| ジャーナル | IEEJ Transactions on Electronics, Information and Systems |
| 巻 | 131 |
| 発行部数 | 7 |
| DOI | |
| 出版物ステータス | Published - 2011 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
これを引用
A prototype of energy saving system for office lighting by using pso and wsn. / Si, Wa; Ogai, Harutoshi; Hirai, Katsumi; Takahashi, Hidehiro.
：: IEEJ Transactions on Electronics, Information and Systems, 巻 131, 番号 7, 2011, p. 1298-1302.研究成果: Article
}
TY - JOUR
T1 - A prototype of energy saving system for office lighting by using pso and wsn
AU - Si, Wa
AU - Ogai, Harutoshi
AU - Hirai, Katsumi
AU - Takahashi, Hidehiro
PY - 2011
Y1 - 2011
N2 - The purpose of this study is to develop a wireless networked lighting system for office buildings, which can reduce the energy consumption while meeting users' lighting preferences. By using particle swarm optimization, the system is able to optimize the dimming ratio of luminaires according to the real time natural illumination and occupancy condition. In this paper we make a prototype system and test the feasibility and efficiency of the system. The prototype consists of one wireless control module, three illumination sensors and four fluorescent lamps with dimming capacity. The illumination sensors collect and send the data to the control module. After the process of PSO (Particle Swarm Optimization), the module finally sets the power of the lamps according to the PSO result. After real experiments in a certain designed office, it was proved that the system can successfully control the illuminations, and can save considerable energy.
AB - The purpose of this study is to develop a wireless networked lighting system for office buildings, which can reduce the energy consumption while meeting users' lighting preferences. By using particle swarm optimization, the system is able to optimize the dimming ratio of luminaires according to the real time natural illumination and occupancy condition. In this paper we make a prototype system and test the feasibility and efficiency of the system. The prototype consists of one wireless control module, three illumination sensors and four fluorescent lamps with dimming capacity. The illumination sensors collect and send the data to the control module. After the process of PSO (Particle Swarm Optimization), the module finally sets the power of the lamps according to the PSO result. After real experiments in a certain designed office, it was proved that the system can successfully control the illuminations, and can save considerable energy.
KW - Energy saving system
KW - Office lighting
KW - PSO
KW - Wireless sensor network.
UR - http://www.scopus.com/inward/record.url?scp=80052734940&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052734940&partnerID=8YFLogxK
U2 - 10.1541/ieejeiss.131.1298
DO - 10.1541/ieejeiss.131.1298
M3 - Article
AN - SCOPUS:80052734940
VL - 131
SP - 1298
EP - 1302
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 7
ER -