Certified by (2009)
BibTeX
@MISC{Feldmeier09certifiedby,
author = {Mark Christopher Feldmeier and Joseph A. Paradiso and Deb K. Roy and Mark Christopher Feldmeier},
title = {Certified by},
year = {2009}
}
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Abstract
Creating an appropriate indoor climate is essential to worker productivity and personal happiness. It is also an area of large expenditure for building owners. And, with rising fuel costs, finding ways of reducing energy consumption is more important than ever. This idea is promoted further by the notion that most buildings are currently being run inefficiently, due to the non-adaptable nature of their control systems. Not just the occupants, but also the buildings themselves have ever changing needs, for which a single setpoint is inadequate. This dissertation presents a novel air-conditioning control system, focused around the individual, which remedies these inefficiencies through the creation of personalized environments. To date, the measurement of thermal preference has been limited to either a complex set of sensors attempting to determine a Predicted Mean Vote (PMV) value, or to direct polling of the user. The former is far too cumbersome and expensive for practical application, and the latter places an undue burden on the user. To overcome these limitations, an extremely low power, light weight, wireless sensor is developed which can measure temperature, humidity, activity and light level directly on the user’s body. These data are
Keyphrases
latter place energy consumption control system wireless sensor fuel cost personalized environment non-adaptable nature user body novel air-conditioning control system complex set large expenditure low power personal happiness practical application thermal preference appropriate indoor climate undue burden single setpoint building owner light level predicted mean vote light weight
