Determination of Empirical Coefficients and Δt for Sandia Thermal Model: Dependence on Backsheet Type

Jaewon Oh, Ashwini Pavgi, Govinda Samy Tamizh Mani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Sandia thermal model has been extensively used by the industry to predict cell temperature of photovoltaic (PV) module using a few empirical coefficients and ΔT (temperature difference between cell and typical backsheet). We present the empirical coefficients and ΔT of the PV modules equipped with various types of new polymer backsheets and glass substrate. These backsheet-specific coefficients and ΔT provide more accurate predicted cell temperature. It was shown that ΔT can be as high as 4.1 °C at 1000 W/m2 irradiance depending on the substrate type. It has been demonstrated that the temperature coefficients, using model converted cell temperature from module substrate temperature, can be overestimated when non-thermal equilibrium condition is existing in the PV module.

Original languageEnglish (US)
Title of host publication2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-446
Number of pages5
ISBN (Electronic)9781538685297
DOIs
StatePublished - Nov 26 2018
Externally publishedYes
Event7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - Waikoloa Village, United States
Duration: Jun 10 2018Jun 15 2018

Publication series

Name2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC

Other

Other7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Country/TerritoryUnited States
CityWaikoloa Village
Period6/10/186/15/18

Keywords

  • photovoltaic cells
  • silicon
  • temperature coefficient
  • thermal model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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