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Adaptive Operation Decisions for a System of Smart Buildings


Abstract Buildings (approximately half commercial and half residential) consume over 70% of the electricity among all the consumption units in the United States. Buildings are also responsible for approximately 40% of CO2 emissions, which is more than any other industry sectors. As a result, the initiative smart building which aims to not only manage electrical consumption in an efficient way but also reduce the damaging effect of greenhouse gases on the environment has been launched. Another important technology being promoted by government agencies is the smart grid which manages energy usage across a wide range of buildings in an effort to reduce cost and increase reliability and transparency. As a great amount of efforts have been devoted to the... (more)
Created Date 2012
Contributor Hu, Mengqi (Author) / Wu, Teresa (Advisor) / Weir, Jeffery (Advisor) / Wen, Jin (Committee member) / Fowler, John (Committee member) / Shunk, Dan (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering / decentralized decision / particle filter / particle swarm optimization / smart building / smart grid
Type Doctoral Dissertation
Extent 206 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Industrial Engineering 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis