<?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>2026-09-19T05:23:19Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111776" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111776</identifier><datestamp>2021-10-02T03:49:07Z</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">John H. Lienhard, V.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ahdab, Yvana D. (Yvana Daniella)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-10-04T15:08:06Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-10-04T15:08:06Z</dim:field>
   <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/1721.1/111776</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1004865449</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.</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 119-122).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Water scarcity around the globe has motivated rising interest in desalinating brackish groundwater to meet fresh water demand. Various organizations in the United States have collected more hydrological and chemical data from the growing number of wells. Yet, only one national assessment of groundwater resource distribution and availability has been conducted in the United States since the 1960s, and no national assessment has been conducted on the energy costs required to make brackish groundwater potable. Because the ionic composition of groundwater varies significantly from location to location, unlike seawater, conducting site-specific analyses of the resource across the U.S. is necessary. This thesis uses chemical and physical data from a U.S. Geological Survey dataset compiled in 2017, including samples from over 100,000 groundwater wells across the United States, to carry out a nationwide investigation of brackish groundwater composition and minimum desalination energy costs. Beginning with a full Pitzer-Kim mixed electrolyte model, we develop a thermodynamic analysis of the least work of separation in order to compute the site-specific least work of separation required for groundwater desalination. Least work of separation represents a baseline for specific energy consumption of real-world desalination systems. Then, we study the geographic distribution of least work of separation to determine areas with both low least work of separation and high water stress. These regions hold potential for desalination to decrease the disparity between high water demand and low water supply. We develop simplified equations for least work as a function of recovery ratio and the following parameters: total dissolved solids, specific conductance, ionic strength, and molality. Lastly, we examine the effects of groundwater composition on minimum energy costs, and the geographic distribution of total dissolved solids, well depth and major ions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yvana D. Ahdab.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">122 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">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Desalination of brackish groundwater in the United States : minimum energy requirements</dim:field>
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   	&lt;Title>Desalination of brackish groundwater in the United States : minimum energy requirements&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Ahdab, Yvana D. (Yvana Daniella)&lt;/DisplayName>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>Water scarcity around the globe has motivated rising interest in desalinating brackish groundwater to meet fresh water demand. Various organizations in the United States have collected more hydrological and chemical data from the growing number of wells. Yet, only one national assessment of groundwater resource distribution and availability has been conducted in the United States since the 1960s, and no national assessment has been conducted on the energy costs required to make brackish groundwater potable. Because the ionic composition of groundwater varies significantly from location to location, unlike seawater, conducting site-specific analyses of the resource across the U.S. is necessary. This thesis uses chemical and physical data from a U.S. Geological Survey dataset compiled in 2017, including samples from over 100,000 groundwater wells across the United States, to carry out a nationwide investigation of brackish groundwater composition and minimum desalination energy costs. Beginning with a full Pitzer-Kim mixed electrolyte model, we develop a thermodynamic analysis of the least work of separation in order to compute the site-specific least work of separation required for groundwater desalination. Least work of separation represents a baseline for specific energy consumption of real-world desalination systems. Then, we study the geographic distribution of least work of separation to determine areas with both low least work of separation and high water stress. These regions hold potential for desalination to decrease the disparity between high water demand and low water supply. We develop simplified equations for least work as a function of recovery ratio and the following parameters: total dissolved solids, specific conductance, ionic strength, and molality. Lastly, we examine the effects of groundwater composition on minimum energy costs, and the geographic distribution of total dissolved solids, well depth and major ions.&lt;/Abstract>
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