Semester

Spring

Date of Graduation

2023

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Chemical and Biomedical Engineering

Committee Chair

Debangsu Bhattacharyya

Committee Co-Chair

John Hu

Committee Member

Jeremy Hardinger

Abstract

The increasing significance of renewable energy sources is thrusting the load cycling of fossil-fueled power plants (FFPP), designed to operate under nominal-load conditions. Integration of energy storage systems (ESS) with the FFPPs such as hydrogen energy storage (HES) and mechanical energy storage facility such as compressed air energy storage (CAES) shows the potential to minimize the levelized cost of electricity during high demand scenarios and also minimize the negative impacts of off-design FFPP operation. The deployment of energy storage facilities at the FFPP level have considerable potential advantages as they can be exploited within the existing equipment items and facilities for improving the efficiency of the storage technologies and reducing required storage capacities.

The project focuses on the development of first principles model for the ESS. These storage models are integrated with the high-fidelity dynamic plant model such as the Natural Gas Combined Cycle (NGCC) plant configuration. NGCC plant model being highly nonlinear poses more computational flexibility which is a major concern for optimization/control perspectives. Hence, a reduced-order model (ROM) of the corresponding FFPP integrated with ESS for each system configuration was developed. Reduced order model development is a sub modeling approach whereby the high-fidelity complex model could be reduced into a computationally efficient structure. The reduced dynamic model projects the important behavior of the true model with reasonable accuracy and better computational efficiency.

A detailed techno-economic analysis (TEA) of CAES and HES integrated with NGCC is evaluated. This study performed a dynamic process optimization by utilizing input-output data from the developed ROM models by incorporating of 14 regional electricity signals (LMP) with different carbon tax of whole year and NPV maximization as an objective function. For this framework of energy system configuration, the optimal design conditions of CAES and HES units are decided and optimal profiles of different parameters with respect to LMP are shown.

Embargo Reason

Publication Pending

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Available for download on Saturday, April 27, 2024

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