An improved PSO method for energy saving system of office lighting

Wa Si*, Harutoshi Ogai, Katsumi Hirai, Hidehiro Takahashi, Masatoshi Ogawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

In order to reduce the amount of wasted energy in office lighting and provide a major contribution to lowering overall energy consumption, we are developing a new energy saving system for office lighting by using adjustable lamp, Wireless Sensor Network (WSN) and Particle Swarm Optimization (PSO). The illumination sensors collect and send the data to the control module. After the PSO (Particle Swarm Optimization) process, the module finally sets the power of the lamps according to the PSO result. In this paper we extent a prototype system which consists of one WSN control module, four fluorescent lamps with dimming capacity and three illumination sensors to a system which consists of one control module, sixteen lamps and up to sixteen sensors. We also make improvements on the PSO algorithm for more complicated situations. After real experiments in a middle-sized meeting room, it was proved that the system can successfully control the lights, and save considerable energy.

Original languageEnglish
Title of host publicationSICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1533-1536
Number of pages4
ISBN (Print)9784907764395
Publication statusPublished - 2011 Jan 1
Event50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
Duration: 2011 Sept 132011 Sept 18

Publication series

NameProceedings of the SICE Annual Conference

Other

Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
Country/TerritoryJapan
CityTokyo
Period11/9/1311/9/18

Keywords

  • Energy Saving System
  • Office Lighting
  • PSO
  • WSN

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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