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    David Daily

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    Daily_umd_0117N_14914.pdf (6.009Mb)
    No. of downloads: 359

    Date
    2014
    Author
    Daily, David Richard
    Advisor
    Baras, John
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    Abstract
    Energy efficient buildings are becoming more necessary to meet government standards, reduce operating costs, and curb emissions. However, designing efficient buildings is significantly complicated as designers must account for hundreds of design parameters across multiple domains. Simulation-based, design space exploration allows for designers to model a building's performance for multiple designs. These simulations can be computationally expensive and time consuming. This thesis explores trade-off analysis in building design space exploration through the use of multi-objective optimization software that seeks to quickly produce optimal designs. Three different techniques are developed producing optimal design configurations for each technique.
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    http://hdl.handle.net/1903/15145
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    • Computer Science Theses and Dissertations
    • UMD Theses and Dissertations

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    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
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