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  <title><![CDATA[Ph.D. Dissertation Defense - Yiming Chen]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; Advanced Techno-Economic and Sustainability Analysis Methods of Emerging Grid Technologies</em></p><p><strong>Committee:</strong></p><p>Dr. Santiago Grijalva, ECE, Chair, Advisor</p><p>Dr. Lukas Graber, ECE</p><p>Dr. Bayoun Ge, ECE</p><p>Dr. Sakis Meliopoulos, ECE</p><p>Dr. Fan Zhang, ME</p>]]></body>
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      <value><![CDATA[Advanced Techno-Economic and Sustainability Analysis Methods of Emerging Grid Technologies ]]></value>
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      <value><![CDATA[<p>This dissertation develops advanced techno-economic, environmental, and asset-management methods to evaluate and guide the adoption of emerging grid technologies. A modular techno-economic analysis framework extends conventional device-level assessments by incorporating power-system simulation, with case studies showing consistent cost and performance benefits of medium voltage DC architectures. A life-cycle assessment procedure quantifies cradle-to-grave emissions, demonstrating that supercritical CO2–based circuit breakers can substantially reduce environmental impact relative to SF6 ones. To inform optimal upgrade timing, two asset-management frameworks are introduced: a two-stage framework that integrates life-cycle cost analysis with system-level optimization, and an condition-aware approach using a multi-action RMAB formulation for managing large fleets under uncertainties. Together, these methods provide a valuable decision-support toolkit for identifying cost-effective, low-emission, and scalable pathways for integrating emerging technologies into future grids.</p>]]></value>
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      <value><![CDATA[2025-12-05T12:00:00-05:00]]></value>
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      <value><![CDATA[Room 408, Van Leer]]></value>
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