Publication Date


Document Type


Committee Members

Mitch Wolff (Advisor)

Degree Name

Master of Science in Engineering (MSEgr)


Distributed generation is desired when the individual energy requirements ranging from 25-75 kW of office buildings, restaurants, hospitals and apartments can not be met by the current electric utility grid. Microturbine generators as stand alone power generation systems have been designed to meet these requirements. For power requirements up to 50 MW, hybrid fuel cell systems offer higher efficiency and lower levels of pollutant emissions with more advanced fuel energy savings than non-hybrid systems. The objective of this project is to develop a simulation of a microturbine generator as a stand alone power generation system to validate a microturbine generator as part of a hybrid power generation system designed to produce 250 kW of usable power in MATLAB/Simulink®. The stand alone power generation system will be modeled using a 1-Dimensional approach. The hybrid power generation system is modeled as three major sub-systems; a hybrid microturbine generator, a molten carbonate fuel cell with catalytic oxidizer, and a shell-and-tube heat exchanger. The hybrid power generation system will be analyzed by two different models; a 0-Dimensional hybrid model where all the components are 0-Dimensional and a 0-Dimensional model with 1-Dimensional zooming for the hybrid microturbine generator. The analysis of the stand alone system is used for validation of the hybrid system at the operating design point of the microturbine generator. A control system was placed on the hybrid microturbine generator power generation system and an analysis was completed on the temperature response of the 0-Dimensionl hybrid system as the microturbine generator power was ramped from 0-30 kW over six different time intervals. A second controller was placed on the fuel cell power generation system to further analyze the hybrid system's controllability. The three MATLAB/Simulink® models developed provide an initial design methodology for modeling and simulation of a hybrid power generation system.

Page Count


Department or Program

Department of Mechanical and Materials Engineering

Year Degree Awarded