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    • 2013 Theses (UMKC)
    • 2013 UMKC Theses - Freely Available Online
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    Adaptive thermal comfort computation with Zigbee wireless sensor networks

    Aswathanarayanajois, Krishnaswaroop
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    [PDF] AshwathanarayanajoisSAdaTheCom.pdf (2.676Mb)
    Date
    2013
    Format
    Thesis
    Metadata
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    Abstract
    The rapid development of wireless communications, scalable technology enabling large scale mass production of System-On-Chip boards, and low cost and low power sensors have made wireless sensor networks easy accessible and usable. Zigbee (802.15.4) operated wireless sensor networks have been commonly used in home automation, building automation, personal health care and fitness, consumer electronics, telecom services etc. In our thesis we investigate Zigbee's application in computing thermal comfort in indoor environments as an extension of home automation systems. Maintenance of thermal comfort consumes a large majority of energy costs. In our home automation system we interfaced a Honeywell based humidity sensor. The Zigbee system consists of a central unit called a coordinator which acts as a control unit. The coordinator is responsible for configuring the network and the start of the network. The end-devices which also act as routers are interfaced with a humidity sensor, an inbuilt temperature sensor, light sensor and accelerometer. The end-device periodically reports data like temperature, humidity, light and accelerometer readings. From these readings, a thermal comfort index is calculated by an index called Predicted Mean Vote. Thermal comfort is dependent on variation of 6 factors like clothing, Metabolism, air temperature, air velocity, mean radiant temperature and relative humidity. A series of simulations are performed with MATLAB to illustrate variation of PMV with the above mentioned 6 factors. Finally prediction and opinion is given about cost variation with energy usage variation. Also the thesis gives advice on achieving thermal comfort by taking into consideration different factors and also to change those factors to achieve thermal comfort at expense of the cost
    Table of Contents
    Abstract -- List of illustrations -- List of tables -- Acknowledgements -- Introduction -- Background -- Thermal comfort index -- Zigbee wireless sensor networks -- Zigbee thermal comfort sensor network -- Simulation and results -- Thermal comfort and cost -- Conclusion and future work -- Reference list
    URI
    http://hdl.handle.net/10355/41482
    Degree
    M. S.
    Thesis Department
    Electrical Engineering (UMKC)
    Collections
    • Computer Science and Electrical Engineering Electronic Theses and Dissertations (UMKC)
    • 2013 UMKC Theses - Freely Available Online

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