Graduation Year
2023
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Electrical Engineering
Major Professor
Wilfrido A. Moreno, Ph.D.
Committee Member
Chung Seop Jeong, Ph.D.
Committee Member
Fernando Falquez, Ph.D.
Committee Member
D. Yogi Goswami, Ph.D.
Committee Member
Danvers E. Johnston, Ph.D.
Keywords
6 Parameter PV Model, PV 5 Parameter Verification, PV Statistical Equation Simplificati, Transcendental Equation Free PV I-V Plot
Abstract
This dissertation analyzes Photovoltaic PV equations and models for silicon based systems from a Systems Engineering framework. Background information includes an introduction, a summary of the state of PV use, a brief history of photovoltaics, and the detailed derivation of equations that enable the finding of the PV parameters contained in the PV models.The novel inquiry, leveraging systems engineering frameworks, includes three areas useful in analyzing PV equations and models. The first is a statistical verification of common simplifications of PV equations at the primary conditions of short circuit, open circuit, and maximum power. Additional analysis shows other simplifications that should and should not be utilized. The second is a novel systems engineering methodology to verify parameter solutions found when solving the equations derived from the Five Parameter PV Model. Once the five parameters were determined and verified, existing methods to plot a PV current-voltage I-V curve require solving the transcendental PV equation for each data point. The third novel idea presents a Six Parameter Model, which enables graphing the PV I-V curve without solving the PV five parameter transcendental equation.
Scholar Commons Citation
Michael, Peter R., "Novel Systems Engineering Framework Analysis of Photovoltaic Models and Equations" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10067
