<?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>2026-09-19T21:36:20Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/101500" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/101500</identifier><datestamp>2026-06-16T18:15:17Z</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_131022</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">Christoph F. Reinhart.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Dogan, Timur</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department 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">2016-03-03T21:05:07Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-03-03T21:05:07Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/101500</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">939673767</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D. in Architecture: Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2015.</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 (pages 103-109).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This research is meant to facilitate a wider use of energy simulation in urban and schematic building design. The major contribution is the development and validation of software algorithms that can manage, automatically produce and execute building energy models for urban and schematic design. Modeling approaches for building performance simulation engines such as EnergyPlus and TRNSYS have been developed. The first approach introduces an algorithm that automatically converts arbitrary building massing models into multi-zone thermal models following the ASHRAE 90.1 Appendix G prescribed perimeter and core discretization schema. This method yields geometrically resolved multizone models and provides a streamlined workflow for single and multi-building energy evaluation. The second approach dissects an urban massing model that may consist of hundreds of buildings with various architectural programs into a discrete number of "typical room" energy models. It is shown that for standard interior partitions and fully conditioned spaces the method yields results that are comparable to conventional perimeter and core simulations in terms of accuracy as well as temporal and spatial resolution at a fraction of the calculation time. This speed-up facilitates interactive urban level design evaluations. The third approach explores the energetic consequences of using a zoning methodology that goes beyond generic perimeter and core subdivisions. Based on a review and categorization of real floor plan designs it is shown that key characteristics of interior subdivisions have a decisive effect on building energy use and present a largely untapped opportunity for architects to reduce building energy use in schematic design. Each approach is documented and simulation results are compared against conventional modeling workflows for a realworld urban case study. As a proof of concept, the mentioned methods have been implemented as plug-ins for the widely used CAD modeling software Rhinoceros3d (Rhino) and its parametric scripting environment Grasshopper.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Timur Dogan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D. in Architecture: Building Technology</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">110 pages</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">Procedures for automated building energy model production for urban and early design</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   <dim:field mdschema="others" element="access-status">unknown</dim:field>
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	&lt;Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843&lt;/Type>
	&lt;Language>eng&lt;/Language>
   	&lt;Title>Procedures for automated building energy model production for urban and early design&lt;/Title>
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   	&lt;PublicationDate>2015&lt;/PublicationDate>
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        	&lt;DisplayName>Dogan, Timur&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Architecture.&lt;/Keyword>
   	&lt;Abstract>This research is meant to facilitate a wider use of energy simulation in urban and schematic building design. The major contribution is the development and validation of software algorithms that can manage, automatically produce and execute building energy models for urban and schematic design. Modeling approaches for building performance simulation engines such as EnergyPlus and TRNSYS have been developed. The first approach introduces an algorithm that automatically converts arbitrary building massing models into multi-zone thermal models following the ASHRAE 90.1 Appendix G prescribed perimeter and core discretization schema. This method yields geometrically resolved multizone models and provides a streamlined workflow for single and multi-building energy evaluation. The second approach dissects an urban massing model that may consist of hundreds of buildings with various architectural programs into a discrete number of &amp;quot;typical room&amp;quot; energy models. It is shown that for standard interior partitions and fully conditioned spaces the method yields results that are comparable to conventional perimeter and core simulations in terms of accuracy as well as temporal and spatial resolution at a fraction of the calculation time. This speed-up facilitates interactive urban level design evaluations. The third approach explores the energetic consequences of using a zoning methodology that goes beyond generic perimeter and core subdivisions. Based on a review and categorization of real floor plan designs it is shown that key characteristics of interior subdivisions have a decisive effect on building energy use and present a largely untapped opportunity for architects to reduce building energy use in schematic design. Each approach is documented and simulation results are compared against conventional modeling workflows for a realworld urban case study. As a proof of concept, the mentioned methods have been implemented as plug-ins for the widely used CAD modeling software Rhinoceros3d (Rhino) and its parametric scripting environment Grasshopper.&lt;/Abstract>
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