This work investigates two main aspects related to photovoltaic: systems and module
characterization and performance modeling.
The first part aims to characterize a PV generator located in Spain with a nominal power of
109.44 kW under standard test conditions according to the datasheet. An operational photovoltaic
system's nominal power is a valid parameter for determining its current operational state. The
applicability of a standard procedure to estimate the nominal power of an operating generator,
proposed by Martínez-Moreno and based on Osterwald's model, is investigated. However, the
standard procedure does not specify how to deal with experimental data when unexpected behavior
impedes the nominal power estimation under operating conditions. During the 6-month study, the
power-irradiance relation showed a hysteresis effect with varying amplitudes throughout the
campaign. Adding a data filter that removes the non-linear part of the data proves necessary to
estimate the nominal power, complementing Martinez-Moreno's procedure to enable the
generators' characterization.
The second part contributes to closing a knowledge gap in the performance behavior and
predictability of multiple PV technologies in Peru. The quality of two simple analytical models for
estimating the outdoor performance of three different photovoltaic module technologies in Lima
was investigated. Osterwald's and the Constant Fill Factor models were applied to estimate the
maximum power delivered by an Aluminum Back Surface Field, a Heterojunction with Intrinsic
Thin-layer, and an amorphous/microcrystalline thin-film tandem PV module. The results point that
both models overestimate the expected power compared to the measured one. Implementing a
correction factor adjusts the estimated maximum power by both models. This correction factor allows us to estimate losses, calculate an adequate nominal power and minimize the estimated
power error. The normalized root mean square error and mean bias error determine the
implemented methodology's quality. The two crystalline silicon-based technologies present a
similar behavior throughout the year. However, both differ considerably from the tandem one
during different months, implying that the ambient variables have other seasonal impacts on their
performance.
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/21718 |
| Date | 02 March 2022 |
| Creators | Calsi Silva, Brando Xavier |
| Contributors | Palomino Töfflinger, Jan Amaru |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/bachelorThesis |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess, Atribución-NoComercial-CompartirIgual 2.5 Perú, http://creativecommons.org/licenses/by-nc-sa/2.5/pe/ |
Page generated in 0.0019 seconds