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            <name>Title</name>
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    <name>Article</name>
    <description>Faculty Publications -Articles</description>
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          <name>Title</name>
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              <text>Investigation on window opening behavior in naturally ventilated hostels of warm and humid climate</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Logistic regression model; Natural ventilation; Occupant behavior; Warm and Humid climate; Window opening behavior</text>
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              <text>A window is an inevitable element of a naturally ventilated building, and its usage improves indoor environmental conditions. Various research has presented window opening behavior models, stating that it may vary with region, climate, season, building type and many more environmental and non-environmental factors. Major studies in India relied on survey data and were not focused on continuous monitoring. Limited occupants behavior studies have been reported in warm and humid climatic zones, specifically in hostel buildings. Also, a realistic description of occupants window opening behavior is require for more accurate evaluation of building performance using energy simulation. Therefore, there is a need to study the window opening behavior to predict the indoor environment more accurately by using energy simulation tools. In this context, a one-year field research involving questionnaire survey, physical observation, and monitoring was conducted in different hostel buildings in Tiruchirappalli, India. Logistic models were developed to predict the window state in hostel buildings in warm and humid region based on physical observational and long-term monitoring data. It is found that window use is influenced by season, time of the day, weekdays, floor level, buildings orientation, user type, and gender. Results also showed that insects and animal menace (snakes, squirrels, lizards, mosquitoes etc.) impede window opening behavior. The study also presented a logistic model for window opening behavior based on outdoor environment conditions for simulation modeling.  2022 Elsevier B.V.</text>
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              <text>Faheem M.; Bhandari N.; Tadepalli S.; Abinaya J.</text>
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              <text>Energy and Buildings, Vol-268</text>
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              <text>Elsevier Ltd</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.enbuild.2022.112184" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.enbuild.2022.112184&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131442202&amp;amp;doi=10.1016%2Fj.enbuild.2022.112184&amp;amp;partnerID=40&amp;amp;md5=becea978657e30f97908b53c49249a6c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131442202&amp;amp;doi=10.1016%2fj.enbuild.2022.112184&amp;amp;partnerID=40&amp;amp;md5=becea978657e30f97908b53c49249a6c&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 3787788; CODEN: ENEBD</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Faheem M., Department of Architecture, National Institute of Technology, Tamil Nadu, Tiruchirappalli, 620015, India; Bhandari N., Department of Architecture, National Institute of Technology, Tamil Nadu, Tiruchirappalli, 620015, India; Tadepalli S., Department of Architecture, National Institute of Technology, Tamil Nadu, Tiruchirappalli, 620015, India; Abinaya J., Department of Architecture, National Institute of Technology, Tamil Nadu, Tiruchirappalli, 620015, India, School of Architecture, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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