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Optimizing Sustainable Energy Soluti...

Chen, Yunzhi,

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Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage // Yunzhi Chen.
Author:	Chen, Yunzhi,
Description:	1 electronic resource (121 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 87-03, Section: A.
Contained By:	Dissertations Abstracts International87-03A.
Subject:	Chemical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31847787
ISBN:	9798293832637

Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage /
Chen, Yunzhi,

Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage /Yunzhi Chen. - 1 electronic resource (121 pages)

Source: Dissertations Abstracts International, Volume: 87-03, Section: A.

As global energy demands continue to rise, transitioning to renewable energy has become essential for addressing climate change, reducing air pollution, and fostering a sustainable energy future. However, this transition is not without challenges, with major issues including high upfront costs, resource intermittency, and grid integration complexities. To overcome these challenges, critical focus areas include resource management, renewable energy integration, and grid storage. This dissertation addresses renewable energy challenges through four major topics: converting food waste into renewable energy, leveraging industrial processes for demand response, evaluating underground hydrogen storage for grid electricity seasonal storage, and developing a method to integrate long duration energy storage into electricity grid capacity expansion models. The methodologies employed in this study include multi-scale modeling, system design, techno-economic and environmental analysis, process simulation and control, and mathematical optimization. By tackling key issues in renewable energy systems, this dissertation advances understanding of the value of clean energy, develops economically feasible methods for its utilization, and contributes to improved cost-competitive planning for the future integration of renewable energy into the energy system. It offers practical solutions to meet the current energy and grid system needs while supporting the transition toward sustainability.

English

ISBN: 9798293832637Subjects--Topical Terms:

560457
Chemical engineering.
Subjects--Index Terms:

Capacity expansion models

Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage /
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245 1 0 $a Optimizing Sustainable Energy Solutions for Resource Management, Renewable Energy Integration, and Grid Storage / $c Yunzhi Chen.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (121 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 87-03, Section: A.
500 $a Advisors: Powell, Kody Committee members: McLennan, John David; Deo, Milind; Hedengren, John; Cole, Wesley.
502 $b Ph.D. $c The University of Utah $d 2025.
520 $a As global energy demands continue to rise, transitioning to renewable energy has become essential for addressing climate change, reducing air pollution, and fostering a sustainable energy future. However, this transition is not without challenges, with major issues including high upfront costs, resource intermittency, and grid integration complexities. To overcome these challenges, critical focus areas include resource management, renewable energy integration, and grid storage. This dissertation addresses renewable energy challenges through four major topics: converting food waste into renewable energy, leveraging industrial processes for demand response, evaluating underground hydrogen storage for grid electricity seasonal storage, and developing a method to integrate long duration energy storage into electricity grid capacity expansion models. The methodologies employed in this study include multi-scale modeling, system design, techno-economic and environmental analysis, process simulation and control, and mathematical optimization. By tackling key issues in renewable energy systems, this dissertation advances understanding of the value of clean energy, develops economically feasible methods for its utilization, and contributes to improved cost-competitive planning for the future integration of renewable energy into the energy system. It offers practical solutions to meet the current energy and grid system needs while supporting the transition toward sustainability.
546 $a English
590 $a School code: 0240
650 4 $a Chemical engineering. $3 560457
650 4 $a Energy. $3 876794
650 4 $a Nuclear engineering. $3 595435
650 4 $a Sustainability. $3 1029978
653 $a Capacity expansion models
653 $a Energy systems
653 $a Hydrogen underground storage
653 $a Optimization
653 $a Renewable natural gas
653 $a Smart manufacturing
690 $a 0542
690 $a 0552
690 $a 0640
690 $a 0791
710 2 $a The University of Utah. $b Chemical Engineering. $e degree granting institution. $3 3825833
720 1 $a Powell, Kody $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 87-03A.
790 $a 0240
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31847787