<?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>2026-09-20T04:07:04Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111224" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111224</identifier><datestamp>2022-02-01T18:42:41Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</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">Steven R. H. Barrett.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Rosen, Cassandra Vivian</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Institute for Data, Systems, and Society</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Technology and Policy Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-09-15T14:20:05Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/111224</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003283887</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 88-96).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Petroleum-derived fuels made up 93% of the energy demand for the transportation sector in 2013, and are projected to remain a significant source in the future (65% to 90% in the year 2040) [1]. These fuels contribute significantly to global green house gas (GHG) emissions, both from their production and combustion emissions. Production emissions make up one fifth of the emissions associated with the entire petroleum fuel lifecycle. Although the current non-combustion production lifecycle emissions of these fuels are well understood, their future lifecycle emissions have yet to be quantified. In this thesis, a global, scenario-based analysis of petroleum-derived transportation fuels is carried out to estimate lifecycle emissions in the year 2050. The 2050 scenarios differ by the stringency of environmental policies, including no new additional policies, "moderate" new policies, and "'strong" new policies. Data from existing projections for the energy sector in 2050 is used to create lifecycle inventories for the three 2050 scenarios. The production lifecycle emissions for the year 2050 are calculated to be 14.3 - 19.2 g CO2e/MJ for jet fuel, 17.2 - 24.9 g CO2e/MJ for diesel, and 21.1 - 26.8 g CO2e/MJ for gasoline. The production emissions in 2050 could deviate from 2020 values by as much as +20% to -21%, depending on future policy choices. If these production emissions are applied to global fuel demand, the range of emissions reductions from these policy scenarios spans 8.5% of all GHG emissions in 2013.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Cassandra Vivian Rosen.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Technology and Policy</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">96 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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Institute for Data, Systems, and Society.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Scenario based lifecycle analysis of greenhouse gas emissions from petroleum-derived transportation fuels in 2050</dim:field>
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   	&lt;Title>Scenario based lifecycle analysis of greenhouse gas emissions from petroleum-derived transportation fuels in 2050&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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   	&lt;Abstract>Petroleum-derived fuels made up 93% of the energy demand for the transportation sector in 2013, and are projected to remain a significant source in the future (65% to 90% in the year 2040) [1]. These fuels contribute significantly to global green house gas (GHG) emissions, both from their production and combustion emissions. Production emissions make up one fifth of the emissions associated with the entire petroleum fuel lifecycle. Although the current non-combustion production lifecycle emissions of these fuels are well understood, their future lifecycle emissions have yet to be quantified. In this thesis, a global, scenario-based analysis of petroleum-derived transportation fuels is carried out to estimate lifecycle emissions in the year 2050. The 2050 scenarios differ by the stringency of environmental policies, including no new additional policies, &amp;quot;moderate&amp;quot; new policies, and &amp;quot;&amp;apos;strong&amp;quot; new policies. Data from existing projections for the energy sector in 2050 is used to create lifecycle inventories for the three 2050 scenarios. The production lifecycle emissions for the year 2050 are calculated to be 14.3 - 19.2 g CO2e/MJ for jet fuel, 17.2 - 24.9 g CO2e/MJ for diesel, and 21.1 - 26.8 g CO2e/MJ for gasoline. The production emissions in 2050 could deviate from 2020 values by as much as +20% to -21%, depending on future policy choices. If these production emissions are applied to global fuel demand, the range of emissions reductions from these policy scenarios spans 8.5% of all GHG emissions in 2013.&lt;/Abstract>
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