Life- Cycle Assessment of an Intelligent Lighting System Using a Distributed Wireless Sensor 'Mote' Network
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| Audience/Grade: | College Freshman-Graduate |
| Discipline(s): |
Design General Engineering, Engineering Science Green Design and Sustainable Engineering Mechanical Engineering |
| Special Topic(s): | |
| Learning Resource Type: |
Teaching - Case Study |
| Media Type: |
Unknown |
| Author(s): |
Alice Agogino Arpad Horvath Matthew Dubberley |
| Description: | This paper describes a 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 the 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. Presented at the Proceedings of the 2004 IEEE International Symposium on Electronics and the Environment and the IAER Electronics Recycling Summit: Life-Cycle Environmental Stewardship for Electronic Products, (May 10-13, 2004, Phoenix, Scottsdale, AZ). |
| Rating: | No Rating |
| Related Resources | |
| Referenced By: |
Life Cycle Analysis Tutorial and Example Wireless Smart Lighting System - Saves Energy, Responds to Human Preferences |
| Usage Tip | |
| Use of Resource: |
Could be used as a reference or case study in a product design class. The smart lighting project is implemented in the BEST Lab in 6102 Etcheverry Hall and has been used for project-based learning in E10, a freshman/ sophomore design and analysis class. Paper presented at the 2004 <a href=http://www.regconnect.com/content/isee/> International Symposium on Electronics and the Environment</a>. |
| Version Info | |
| Publication Date: | December 2004 |
| Platform/Format: |
Cross Platform |
| Cost: |
Free |
| Download URL: | http://best.me.berkeley.edu/~aagogino/papers/IEEE_PID32680_Final. |
| Metadata: |
IEEE LOM Record |
| Collection: |
Engineering and Business for Sustainability
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