Browsing Electronic Theses, Dissertations, and Records of Study (2002– ) by Author "Haberl, Jeff S."
Now showing items 21-28 of 28
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Oh, Sukjoon (2013-08-19)Current designs of high performance buildings utilize hourly building energy simulations of complex, interacting systems. Such simulations need to quantify the benefits of numerous features including: thermal mass, HVAC ...
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Toole, Cory Dawson (2012-07-16)This study evaluated how well energy savings persisted over time in ten university buildings that had undergone retro-commissioning in 1996. The savings achieved immediately following retro-commissioning and in three ...
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Oh, Sukjoon (2017-08-30)This study quantifies the electricity savings to homeowners when they install and use Home Automation Devices (HADs), which are also called Internet of Things (IoT), in a residence. To accomplish this study, new analysis ...
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Chen, Qiang (Texas A&M University, 2005-08-29)Following an introduction, the author describes Texas A&M University and its utilities system. After that, the author presents how to construct simulation models for chilled water and heating hot water distribution systems. ...
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Kiss, Christopher William (2012-07-16)The Military Health System (MHS) is a worldwide network of healthcare facilities and personnel. The healthcare facility inventory is aging and requires extensive facility management, renovations and replacement construction ...
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Andolsun, Simge (2013-07-30)The purpose of this study is to reduce the energy cost of the low-income households in the hot and humid climates of the U.S. and thereby to help them afford comfortable homes. In this perspective, a new HVAC energy saving ...
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Najafi, Massieh (Texas A&M University, 2005-02-17)The new approach for sensor diagnostics is presented. The approach, Enhanced Autoassociative Neural Networks (E-AANN), adds enhancement to Autoassociative Neural Networks (AANN) developed by Kramer in 1992. This enhancement ...
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Lei, Yafeng (2010-01-14)This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of ...