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An Adaptive Intelligent Integrated Lighting Control Approach for High-Performance Office Buildings

Abstract An acute and crucial societal problem is the energy consumed in existing commercial buildings. There are 1.5 million commercial buildings in the U.S. with only about 3% being built each year. Hence, existing buildings need to be properly operated and maintained for several decades. Application of integrated centralized control systems in buildings could lead to more than 50% energy savings.

This research work demonstrates an innovative adaptive integrated lighting control approach which could achieve significant energy savings and increase indoor comfort in high performance office buildings. In the first phase of the study, a predictive algorithm was developed and validated through experiments in an actual test room. The objective was to ... (more)
Created Date 2015
Contributor Karizi, Nasim (Author) / Reddy, T. Agami (Advisor) / Bryan, Harvey (Committee member) / Dasgupta, Partha (Committee member) / Kroelinger, Michael (Committee member) / Arizona State University (Publisher)
Subject Architecture / Energy / Engineering / Building Energy Optimization / Control in High performance Buildings / Controlling Venetian Blinds / Daylighting Control / Genetic Algorithm / Integrated Lighting Control
Type Doctoral Dissertation
Extent 245 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Architecture 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis