<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T20:06:30Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/72870" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/72870</identifier><datestamp>2026-06-06T01:04:54Z</datestamp><setSpec>com_1721.1_97716</setSpec><setSpec>com_1721.1_7749</setSpec><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_97717</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">John Fernandez.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Webb, Amanda Laurel</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Architecture</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-09-13T18:58:07Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/72870</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">808369177</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Architecture Studies)--Massachusetts Institute of Technology, Dept. of Architecture, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 67-70).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Our thermal experience is never neutral. Whether standing near a cold window in the winter, or in the shade on a sunny day, we constantly experience a rich set of thermal stimuli. Yet, many of the tools used in professional practice to analyze and design thermal environments in buildings do not account for the richness of our thermal experience. This disconnect between our analysis tools and our experience results in buildings that use more energy than they should, and that leave occupants dissatisfied with their thermal environment. This thesis seeks to bridge the gap between our thermal experience and our building thermal analysis tools. A unique methodology has been developed that produces mapping of thermal comfort parameters in all three spatial dimensions, as well as over time. Both heat balance and adaptive comfort indices have been incorporated into the methodology. An accompanying software program, called cMap, has been developed to illustrate the ways that this methodology can be used with existing energy analysis software and to demonstrate how it can fit into existing analysis workflows in professional practice.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Amanda Laurel Webb.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Architecture Studies</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">166 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Mapping comfort : an analysis method for understanding diversity in the thermal environment</dim:field>
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   	&lt;Title>Mapping comfort : an analysis method for understanding diversity in the thermal environment&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Webb, Amanda Laurel&lt;/DisplayName>
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    &lt;Keyword>Architecture.&lt;/Keyword>
   	&lt;Abstract>Our thermal experience is never neutral. Whether standing near a cold window in the winter, or in the shade on a sunny day, we constantly experience a rich set of thermal stimuli. Yet, many of the tools used in professional practice to analyze and design thermal environments in buildings do not account for the richness of our thermal experience. This disconnect between our analysis tools and our experience results in buildings that use more energy than they should, and that leave occupants dissatisfied with their thermal environment. This thesis seeks to bridge the gap between our thermal experience and our building thermal analysis tools. A unique methodology has been developed that produces mapping of thermal comfort parameters in all three spatial dimensions, as well as over time. Both heat balance and adaptive comfort indices have been incorporated into the methodology. An accompanying software program, called cMap, has been developed to illustrate the ways that this methodology can be used with existing energy analysis software and to demonstrate how it can fit into existing analysis workflows in professional practice.&lt;/Abstract>
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