DocumentCode :
3000251
Title :
Life-cycle assessment of an intelligent lighting system using a distributed wireless mote network
Author :
Dubberley, Matthew ; Agogino, Alice M. ; Horvath, Arpad
Author_Institution :
Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
fYear :
2004
fDate :
10-13 May 2004
Firstpage :
122
Lastpage :
127
Abstract :
This paper describes the life-cycle assessment (LCA) of an efficient lighting system for commercial buildings using a distributed sensor network. This lighting system is controlled by intelligent software that uses miniaturized wireless networked sensors - motes - for sensing and actuation. The mote network is an experimental wireless sensor network that aims to be smaller, more efficient, less expensive and more versatile than other network alternatives. The LCA described in this paper shows the new lighting system has the potential to achieve environmental benefits in comparison to existing systems. The environmental impacts of the proposed intelligent lighting system are 18 to 344 times smaller than those of a conventional lighting system for the different environmental impact categories considered: acidification, global warming potential, carcinogenicity, non-cancer potential, ecotoxicity, photochemical smog eutrophication, ozone depletion potential, and fossil fuel depletion. This case study also provides insight for design choices in the sensor network, such as what type of battery should be used or which materials should be minimized.
Keywords :
building management systems; design for environment; intelligent sensors; life cycle costing; lighting control; wireless sensor networks; ILS; acidification; battery choice; commercial building lighting systems; distributed sensor network; distributed wireless mote network; ecotoxicity; environment benefits; environmental impact categories; eutrophication; fossil fuel depletion; global warming; intelligent lighting system; life-cycle assessment; miniaturized wireless networked sensors; noncancer potential; ozone depletion; photochemical smog; potential carcinogenicity; smart dust motes; Control systems; Global warming; Intelligent networks; Intelligent sensors; Intelligent systems; Lighting control; Photochemistry; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and the Environment, 2004. Conference Record. 2004 IEEE International Symposium on
ISSN :
1095-2020
Print_ISBN :
0-7803-8250-1
Type :
conf
DOI :
10.1109/ISEE.2004.1299700
Filename :
1299700
Link To Document :
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