CEMA: Comfort Control and Energy Management Algorithms for Use in Residential Spaces Through Wireless Sensor Networks

CEMA: Comfort Control and Energy Management Algorithms for Use in Residential Spaces Through Wireless Sensor Networks

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dc.contributor.author Henry, Rami F.Z.
dc.contributor.other MASc en
dc.date.accessioned 2010-08-26T14:52:53Z
dc.date.available 2010-08-26T14:52:53Z
dc.date.created 2010 en
dc.date.issued 2010-08-26T14:52:53Z
dc.identifier.uri http://hdl.handle.net/10393/19580
dc.description.abstract In recent years, many strides have been achieved in the area of Wireless Sensor Networks (WSNs), which is leading to constant innovations in the types of applications that WSNs can support. Much advancement has also been achieved in the area of smart homes, enabling its occupants to manually and easily control their utility expenses. In this thesis, both areas of research will be colluded for a simple, yet critical application: efficient and economical comfort control in smart residential spaces. The goal is to design a central, modular energy consumption control system for residential spaces, which manages energy consumption in all aspects of a typical residence. This thesis is concerned with two facets of energy consumption in residences. The first facet is concerned with controlling when the heating, ventilating, and air conditioning unit (HVAC) operates for each room separately. This is in contrast to a typical HVAC system where comfort is provided across the floor as a whole. The second facet is concerned with controlling the lighting in each room so as to not exceed a certain input value. The communication network that supports the realization of these coveted goals is based on Zigbee interconnected sensor nodes which pour data unto a smart thermostat which does all the required calculations and activates the modules required for comfort control and energy management, if needed. A Java-based discrete event simulator is then written up to simulate a floor of a typical Canadian single-family dwelling. The simulation assumes error-less communication and proceeds to record certain room variables and the ongoing cost of operation periodically. These results from the simulator are compared to the results of the well known simulator, created by DesignBuilder, which describes typical home conditions. The conclusion from this analysis is that the Comfort Control and Energy Management Algorithms (CEMA) are feasible, and that their implementation incurs significant monetary savings. en
dc.language.iso en en
dc.subject Comfort Control en
dc.subject Energy Managment en
dc.subject HVAC optimization en
dc.subject Wireless Sensor Networks en
dc.title CEMA: Comfort Control and Energy Management Algorithms for Use in Residential Spaces Through Wireless Sensor Networks en
dc.type thesis en
dc.faculty engineering en
dc.year.graduated 2010 en
dc.faculty.department Ottawa-Carleton Institute for Electrical and Computer Engineering en
dc.contributor.supervisor Mouftah, Hussein T.

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