<?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>2026-09-20T03:09:42Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/98731" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/98731</identifier><datestamp>2022-02-01T17:29:35Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>com_1721.1_91570</setSpec><setSpec>col_1721.1_131023</setSpec><setSpec>col_1721.1_91571</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">Ignacio Pérez-Arriaga and Gabriella Carolini.x</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Borofsky, Yael</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Urban Studies and Planning</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">Technology and Policy Program</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-09-17T19:08:05Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-09-17T19:08:05Z</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/1721.1/98731</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">920874583</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 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 122-126).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Around 30% of India's roughly 1.2 billion people lack access to electricity, largely in rural areas. National and state rural electrification efforts are predominantly focused on grid extension, but interest in off-grid systems, like solar home systems and microgrids, for rural areas has been growing. Little policy or regulation dictates off-grid electrification and detailed data about customers' needs are hard to access, making it difficult for planners to determine the best electrification mode for a given area. New planning approaches are needed in the face of these challenges. Technoeconomic planning methods typically dominate rural electrification planning, yet many obstacles face rural electrification planners that are not technoeconomic. This thesis posits that combining the best aspects of technocratic and communicative planning into a transdisciplinary planning methodology will allow planners in India to incorporate technoeconomic, socioeconomic, sociotechnical, social, political, and regulatory factors that influence rural electrification into a single comprehensive approach to regional rural electrification planning in India. I propose and demonstrate three elements of this overarching methodology. First, I attempt to elicit planners' perspectives on rural electrification planning priorities in India through semi-structured interviews (n = 6) and a pilot survey (n = 10). Second, I discuss the importance of understanding consumer electricity needs and demonstrate how electricity demand is both a technoeconomic and non-technoeconomic factor that influences rural electrification. Third, I show how a technoeconomic electrification planning model, called the Reference Electrification Model (REM), can illuminate the consequences of different assumptions about electricity demand on technology decisions for Vaishali District in the state of Bihar. This research emphasizes the variety of perspectives and dynamics that influence rural electrification planning and reflects on the challenges of developing a truly transdisciplinary rural electrification planning methodology for India.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yael Borofsky.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.C.P.</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">158 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">Urban Studies and Planning.</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">Towards a transdisciplinary approach to rural electrification planning for universal access in India</dim:field>
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   	&lt;Title>Towards a transdisciplinary approach to rural electrification planning for universal access in India&lt;/Title>
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   	&lt;PublicationDate>2015&lt;/PublicationDate>
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    &lt;Keyword>Urban Studies and Planning.&lt;/Keyword&gt;
    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
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   	&lt;Abstract>Around 30% of India&amp;apos;s roughly 1.2 billion people lack access to electricity, largely in rural areas. National and state rural electrification efforts are predominantly focused on grid extension, but interest in off-grid systems, like solar home systems and microgrids, for rural areas has been growing. Little policy or regulation dictates off-grid electrification and detailed data about customers&amp;apos; needs are hard to access, making it difficult for planners to determine the best electrification mode for a given area. New planning approaches are needed in the face of these challenges. Technoeconomic planning methods typically dominate rural electrification planning, yet many obstacles face rural electrification planners that are not technoeconomic. This thesis posits that combining the best aspects of technocratic and communicative planning into a transdisciplinary planning methodology will allow planners in India to incorporate technoeconomic, socioeconomic, sociotechnical, social, political, and regulatory factors that influence rural electrification into a single comprehensive approach to regional rural electrification planning in India. I propose and demonstrate three elements of this overarching methodology. First, I attempt to elicit planners&amp;apos; perspectives on rural electrification planning priorities in India through semi-structured interviews (n = 6) and a pilot survey (n = 10). Second, I discuss the importance of understanding consumer electricity needs and demonstrate how electricity demand is both a technoeconomic and non-technoeconomic factor that influences rural electrification. Third, I show how a technoeconomic electrification planning model, called the Reference Electrification Model (REM), can illuminate the consequences of different assumptions about electricity demand on technology decisions for Vaishali District in the state of Bihar. This research emphasizes the variety of perspectives and dynamics that influence rural electrification planning and reflects on the challenges of developing a truly transdisciplinary rural electrification planning methodology for India.&lt;/Abstract>
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