Electronic Theses and Dissertations

Date

2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Mechanical Engineering

Committee Chair

Alexander John Headley

Committee Member

Daniel Vincent Foti

Committee Member

Deepak Venugopal

Committee Member

Jeffrey G Marchetta

Committee Member

Mohd Hasan Ali

Abstract

In this dissertation, the presented research supports the energy transition from fossil fuels to clean energy through the optimization of sizing of energy storage systems, operational strategies, and renewable energy systems considering the uncertainties in atmospheric conditions. Towards this transition, maintaining stability between generation and demand is necessary due to the increasing renewable penetration, intermittency, and uncertainty. Maintenance of the stability between renewable energy generation and load is challenging because of varying resource availabilities, demand profiles, and economic factors in any given location. Though there are several techniques employed traditionally, here in this dissertation energy storage systems and demand side management are considered and employed together to balance the supply and demand and reduce the electricity cost through optimal operations and system capacities. Further, the battery degradation factor, as characterized through published experimental studies, are included in the optimal energy system sizing techniques to estimate batteries to avoid early failure. The research is performed by developing system models and optimization frameworks using linear, nonlinear, mixed integer, and stochastic programming methods. The models presented in this dissertation are applicable to estimate electrical energy system needs and operational strategies for small-scale and large-scale purposes.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to ProQuest.

Notes

Embargoed until 07-30-2025

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Available for download on Wednesday, July 30, 2025

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