Masters Theses


“Renewable energy generation is on the rise. One of the best ways to capitalize on this intermittent power supply is by using the renewable energy source in tandem with batteries. A joint photovoltaic (PV) and battery system model was created that implemented battery degradation and optimized battery usage using a Markov Decision Process (MDP). This system was then subjected to a series of tests to do a sensitivity analysis while optimizing the battery and PV sizing for the system at hand. Parametric sweeps of solar power and battery capital costs, the cost of energy taken from the grid, the cost of battery degradation, the time of year, the sizing of the PV generation and the sizing of the battery, and the State of Health (SoH) of the battery were performed to determine an approximate optimal size and explore the trade-offs inherent to the combined system. This was then used to find the lowest total cost of system with PV and battery implementation”--Abstract, page iii.


Kimball, Jonathan W.

Committee Member(s)

Ferdowsi, Mehdi
Park, Jonghyun


Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering


This work was funded in part by the National Science Foundation, award 1610396.


Missouri University of Science and Technology

Publication Date

Summer 2021


viii, 32 pages

Note about bibliography

Includes bibliographic references (pages 30-31).


© 2021 Gideon Hallman, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 11897

Electronic OCLC #