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Photovoltaic simulation considering building integration parameters

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

This research calibrates and validates a model for monocrystalline photovoltaic systems in SAM (System Advisor Model) for power generation simulation, considering the meteorological characteristics of Cuenca, Ecuador, close to the equatorial line. The electrical performance is calculated by arranging photovoltaic systems with specific characteristics, with inclinations that respond to conventional local roofing and different orientations. Efficiency is calculated with in situ measurements over a period of 18 days. Meteorological data were used to calibrate a weather file for the year 2016. Annual yields are estimated according to inclination and orientation, and technical characteristics of the photovoltaic system. Losses are detected due to dirt accumulation and increase in temperature of the panels. The model is validated by linear regression, by comparing the simulated values with the data obtained from in situ measurements of a reference panel deployed horizontally. The results show an average efficiency loss of 2.77% for dirt conditions and up to 30% for temperature increases. The validation of the model showed a determination coefficient R2=0.996 and a normalized Root Mean Square Error (RMSE) of 8.16%. It is concluded that because of the particular latitude of the study site, unlike most of the planet, the provision of photovoltaic panels in any orientation considering low slopes does not significantly reduce the annual power generation performance.

Translated title of the contributionSimulación fotovoltaica considerando parámetros de integración en edificaciones
Original languageEnglish
Pages (from-to)21-31
Number of pages11
JournalIngenius
Volume2019
Issue number21
DOIs
StatePublished - 1 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Monocrystalline
  • Photovoltaic Simulation
  • Renewable Energies
  • SAM

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