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<journal-id journal-id-type="publisher">global-journal-of-human-social-science-b-geography-environmental-science-disaster-management</journal-id>
<journal-title-group>
<journal-title>Global Journal of Human-Social Science - B: Geography, Environmental Science &amp; Disaster Management</journal-title>
</journal-title-group>
<issn publication-format="print">0975-587X</issn>
<issn publication-format="electronic">2249-460X</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/77448.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">77448</article-id>
<title-group>
<article-title>Investigating the Applicability of Adaptive Comfort Model in a Naturally Ventilated Student Housing in Nigeria</article-title>
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<contrib-group>
<contrib contrib-type="author"><name><surname>Emmanuel</surname><given-names></given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">NIGERIA, Obafemi awolowo university,ile ife, Nigeria</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2014-01-15">
<day>15</day>
<month>01</month>
<year>2014</year>
</pub-date>
<volume>14</volume>
<issue>B4</issue>
<fpage>43</fpage>
<lpage>52</lpage>
<abstract><p>Thermal comfort, influenced by thermal sensation is an important building performance indicator. In the context of this work, the applicability of adaptive comfort model (ACM) to simulate the thermal comfort level in a naturally ventilated hostel building at Obafemi Awolowo University, Ile-Ife, Nigeria was investigated. The applicability of ACM was investigated by determined the neutral and comfort temperature in addition to comfort range temperature of the occupants using the environmental data derived from field measurements and information from questionnaire survey. A total of 288 responses participated in the three months short-term thermal comfort field study. The results obtained were compared with the recommendations of ASHRAE Standard 55, ISO 7730 Standard and results of previous field studies located in the warm-humid tropics. The predicted neutral temperature was found to be 26.8 o C. The acceptable ranges of comfort temperature around thermal neutrality were 24.3-29.3 o C and 23.3-30.3 o C for 90% and 80% acceptability. These values closely matched the recommended range of ASHRAE Standard 55 and ISO 7730 standard. The results of this study indicated that the use of ACM seems to be promising regarding the prediction of indoor climatic conditions under steady-state nonuniform environments.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>adaptive comfort model</kwd>
<kwd>applicability</kwd>
<kwd>naturally ventilated hostel.</kwd>
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<p>Thermal comfort, influenced by thermal sensation is  an important building performance indicator. In the context of  this work, the applicability of adaptive comfort model (ACM) to  simulate  the  thermal  comfort  level  in  a  naturally  ventilated  hostel building at Obafemi Awolowo University, Ile-Ife, Nigeria  was investigated. The applicability of ACM was investigated by  determined the neutral and comfort temperature in addition to  comfort  range  temperature  of  the  occupants  using  the  environmental  data  derived  from  field  measurements  and  information  from  questionnaire  survey.  A  total  of  288  responses participated in the three months short-term thermal  comfort field study. The results obtained were compared with  the  recommendations  of  ASHRAE  Standard  55,  ISO  7730  Standard  and  results  of  previous  field  studies  located  in  the  warm-humid  tropics.  The  predicted  neutral  temperature  was  found  to  be  26.8 o C.  The  acceptable  ranges  of  comfort  temperature  around  thermal  neutrality  were  24.3-29.3 o C  and  23.3-30.3 o C  for  90%  and  80%  acceptability.  These  values  closely  matched  the  recommended  range  of  ASHRAE  Standard 55 and ISO 7730 standard. The results of this study  indicated  that  the  use  of  ACM  seems  to  be  promising  regarding  the  prediction  of  indoor  climatic  conditions  under  steady-state non-uniform environments. The study concluded  that the adaptive algorithms are more reliable to evaluate the  thermal comfort in naturally ventilated buildings.</p>
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