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          <dc:identifier>https://hdl.handle.net/2286/R.I.38784</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>All Rights Reserved</dc:rights>
                  <dc:date>2016</dc:date>
                  <dc:format>vi, 57 pages : illustrations (some color)</dc:format>
                  <dc:type>Masters Thesis</dc:type>
          <dc:type>Academic theses</dc:type>
          <dc:type>Text</dc:type>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Routhier, Alexander F</dc:contributor>
          <dc:contributor>Honsberg, Christiana</dc:contributor>
          <dc:contributor>Fraser, Matthew</dc:contributor>
          <dc:contributor>Bowden, Stuart</dc:contributor>
          <dc:contributor>Arizona State University</dc:contributor>
                  <dc:description>Partial requirement for: M.S., Arizona State University, 2016</dc:description>
          <dc:description>Includes bibliographical references (pages 40-42)</dc:description>
          <dc:description>Field of study: Electrical engineering</dc:description>
          <dc:description>This thesis examines using thermal energy storage as a demand side management tool for air-conditioning loads with the goal of increasing photovoltaic penetration. It uses Arizona State University (ASU) as a case study. The analysis is completed with a modeling approach using typical meteorological year (TMY) data, along with ASU’s historical load data. Sustainability, greenhouse gas emissions, carbon neutrality, and photovoltaic (PV) penetration are all considered along with potential economic impacts.&lt;br/&gt;&lt;br/&gt;By extrapolating the air-conditioning load profile from the existing data sets, it can be ensured that cooling demands can be met at all times under the new management method. Using this cooling demand data, it is possible to determine how much energy is required to meet these needs. Then, modeling the PV arrays, the thermal energy storage (TES), and the chillers, the maximum PV penetration in the future state can be determined.&lt;br/&gt;&lt;br/&gt;Using this approach, it has been determined that ASU can increase their solar PV resources by a factor of 3.460, which would amount to a PV penetration of approximately 48%.</dc:description>
                  <dc:subject>Electrical Engineering</dc:subject>
          <dc:subject>Sustainability</dc:subject>
          <dc:subject>PV Generation Model</dc:subject>
          <dc:subject>PV Penetration</dc:subject>
          <dc:subject>Thermal Energy Storage</dc:subject>
          <dc:subject>Heat Storage</dc:subject>
          <dc:subject>Photovoltaic power generation</dc:subject>
                  <dc:title>Using thermal energy storage to increase photovoltaic penetration at Arizona State University&#039;s Tempe Campus</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
