PV Performance Modeling - Data and Resources

Theristis, Marios; Stein, Joshua S

doi:10.21948/1970772

Title: PV Performance Modeling - Data and Resources

Dataset
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Abstract

The Photovoltaic (PV) Performance Modeling Collaborative (PVPMC) organized a blind PV performance modeling intercomparison to allow PV modelers to blindly test their models and modeling ability against real system data. Measured weather and irradiance data were provided along with detailed descriptions of PV systems from two locations (Albuquerque, New Mexico, USA and Roskilde, Denmark). Participants were asked to simulate the plane-of-array irradiance, module temperature, and DC power output from six systems and submit their results to Sandia for processing. This dataset includes seven MS-Excel sheets with instructions, notes and all necessary data (weather, irradiance, temperature, power) used for the data analysis of the blind modeling comparison. The hourly data represent six different systems from Albuquerque, NM and Roskilde, Denmark over a period of one year. These data are useful for PV performance model validation studies.

Authors:

Theristis, Marios; Stein, Joshua S

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: Sun Apr 23 00:00:00 EDT 2023

DOE Contract Number:: 38267

Research Org.:: EMN-DURMAT (EMN-DuraMAT); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Subject:: 14 SOLAR ENERGY

Keywords:: PVPMC; performance modeling; blind comparison; photovoltaics; validation

OSTI Identifier:: 1970772

DOI:: https://doi.org/10.21948/1970772

Citation Formats


                    Theristis, Marios, and Stein, Joshua S. PV Performance Modeling - Data and Resources.  United States: N. p., 2023. 
        Web.  doi:10.21948/1970772.

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                    Theristis, Marios, & Stein, Joshua S. PV Performance Modeling - Data and Resources.  United States.  doi:https://doi.org/10.21948/1970772

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                    Theristis, Marios, and Stein, Joshua S. 2023.  
"PV Performance Modeling - Data and Resources".  United States.  doi:https://doi.org/10.21948/1970772.  https://www.osti.gov/servlets/purl/1970772. Pub date:Sun Apr 23 00:00:00 EDT 2023

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@article{osti_1970772,

  title        = {PV Performance Modeling - Data and Resources},

  author       = {Theristis, Marios and Stein, Joshua S},

  abstractNote = {The Photovoltaic (PV) Performance Modeling Collaborative (PVPMC) organized a blind PV performance modeling intercomparison to allow PV modelers to blindly test their models and modeling ability against real system data. Measured weather and irradiance data were provided along with detailed descriptions of PV systems from two locations (Albuquerque, New Mexico, USA and Roskilde, Denmark). Participants were asked to simulate the plane-of-array irradiance, module temperature, and DC power output from six systems and submit their results to Sandia for processing. This dataset includes seven MS-Excel sheets with instructions, notes and all necessary data (weather, irradiance, temperature, power) used for the data analysis of the blind modeling comparison. The hourly data represent six different systems from Albuquerque, NM and Roskilde, Denmark over a period of one year. These data are useful for PV performance model validation studies.},

  doi          = {10.21948/1970772},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Apr 23 00:00:00 EDT 2023},

  month        = {Sun Apr 23 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.21948/1970772

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