Publications

PVPMC published/presented the following in FY22-24:

Journal articles

  1. A. Livera, G. Paphitis, M. Theristis, J. Lopez-Lorente, G. Makrides, G. E. Georghiou, “Photovoltaic system health-state architecture for data-driven failure detection,” Solar, 2(1), pp.81-98, 2022. https://doi.org/10.3390/solar2010006 https://www.osti.gov/biblio/1855530
  2. S. Lindig, M. Theristis, D. Moser, “Best practices for photovoltaic performance loss rate calculations,” Progress in Energy, 4(2), pp. 22003, 2022. https://doi.org/10.1088/2516-1083/ac655f https://www.osti.gov/biblio/1863634
  3. A. Livera, M. Theristis, L. Micheli, E. F. Fernandez, J. S. Stein, G. E. Georghiou, “Operation and Maintenance Decision Support System for Photovoltaic Systems,” IEEE Access, 10, pp. 42481-42496, 2022. https://doi.org/10.1109/ACCESS.2022.3168140 https://www.osti.gov/pages/biblio/1863644
  4. A. Livera, M. Theristis, L. Micheli, J. S. Stein, G. E. Georghiou, “Failure diagnosis and trend-based performance losses routines for the detection and classification of incidents in large-scale photovoltaic systems,” Progress in Photovoltaics: Research and Applications, 30(8), pp. 921-937, 2022. https://doi.org/10.1002/pip.3578 https://www.osti.gov/biblio/1867931
  5. L. Micheli, M. Theristis, D. L. Talavera, G. Nofuentes, J. S. Stein, F. Almonacid, E. F. Fernandez, “The economic value of photovoltaic performance loss mitigation in electricity spot markets,” Renewable Energy, 199, pp. 486-497, 2022. https://doi.org/10.1016/j.renene.2022.08.149 https://www.osti.gov/pages/biblio/1887412
  6. M. Theristis + 31 authors, “Blind photovoltaic modeling intercomparison: a multidimensional data analysis and lessons learned,” Progress in Photovoltaics: Research and Applications, 31(11), pp. 1144-1157, 2023. https://doi.org/10.1002/pip.3729 https://www.osti.gov/biblio/1995463
  7. L. Deville, M. Theristis, B. H. King, T. L. Chambers, J. S. Stein, “Open-source photovoltaic model pipeline validation against well-characterized system data,” Progress in Photovoltaics: Research and Applications, pp., 2023. http://doi.org/10.1002/pip.3763 https://www.osti.gov/biblio/2248120
  8. M. G. Deceglie, K. Anderson, D. Fregosi, W. B. Hobbs, M. A. Mikofski, M. Theristis, B. E. Meyers, “Perspective: Performance Loss Rate in PV Systems,” Solar RRL, 7(15), 2300196, 2023. https://doi.org/10.1002/solr.202300196 https://www.osti.gov/biblio/1987571
  9. A. Livera, G. Tziolis, M. Theristis, J. S. Stein, G. E. Georghiou, “Estimating the performance loss rate of photovoltaic systems using time series change point analysis,” Energies, 16(9), 3724, 2023. https://doi.org/10.3390/en16093724 https://www.osti.gov/biblio/1971708
  10. M. Theristis, K. Anderson, J. Ascencio-Vasquez, J. Stein, “How climate and data quality impact photovoltaic performance loss rate estimations,” Solar RRL, 2300815, 2023. https://doi.org/10.1002/solr.202300815 https://www.osti.gov/biblio/2229488
  11. A. R. Jensen, K. Anderson, W. Holmgren, M. Mikofski, C. Hansen, L. Boeman, R. Loonen. “pvlib iotools–open-source python functions for seamless access to solar irradiance data,” Solar Energy, 266, 112092, 2023. https://doi.org/10.1016/j.solener.2023.112092 https://www.osti.gov/pages/biblio/2311327
  12. K. Anderson, C. Hansen, W. Holmgren, A. R. Jensen, M. Mikofski, and A. Driesse. “pvlib python: 2023 project update,” Journal of Open Source Software, 8(92), 5994, 2023. https://doi.org/10.21105/joss.05994 https://www.osti.gov/biblio/2311276

Conference/workshops proceedings/presentations

PVSC-49, Philadelphia, PA, June 2022

  1. M. Kumari, M. Theristis, J. S. Stein, “Geographic Analysis for Determining the Value of Different Photovoltaic Performance Factors”. [poster] https://www.osti.gov/biblio/2003606
  2. A. Driesse, J. S. Stein, M. Theristis, “PV Module Operating Temperature Model Equivalence and Parameter Translation”. [poster] https://www.osti.gov/biblio/2003640
  3. C. Hansen, J. Johnson, R. Darbali-Zamora, N. Gurule. “Modeling Efficiency of Inverters with Multiple Inputs”. [poster] https://www.osti.gov/biblio/2003432  

WCPEC-8, Milan, Italy, September 2022

SyNERGY MED, Thessaloniki, Greece, October 2022

  • A. Livera, G. Tziolis, M. Theristis, J. S. Stein, G. E. Georghiou, “Performance loss rate estimation of fielded photovoltaic systems based on statistical change-point techniques”. [oral] https://www.osti.gov/biblio/2003987

PVPMC, SLC, May 2023

  • C. W. Hansen, K. Anderson, W. Holmgren, M. Mikofski, A. R. Jensen, A. Driesse, “pvlib 2023 update: pvlib-python, pvanalytics and twoaxistracking”.
  • L. Deville, “Comparison of open-source photovoltaic performance models against multi-year field data”. https://www.osti.gov/biblio/2293585
  • M. Theristis, K. Anderson, J. S. Stein, C. W. Hansen, T. Golnas, “Announcements of model validation comparisons”. https://www.osti.gov/biblio/2293581
  • K. Anderson, “pvlib tutorial and training session”.

PVSC-50, Puerto Rico, June 2023

  1. L. Deville, M. Theristis, B. H. King, T. L. Chambers, J. S. Stein, “Comparison of open-source photovoltaic performance models against multi-year field data”. [oral presentation] https://www.osti.gov/biblio/2293585
  2. C. W. Hansen, A. R. Jones, T. Transue, M. Theristis, “Benchmark tests for IV fitting algorithms”. [poster] https://www.osti.gov/biblio/2293584
  3. L. Micheli, M. Muller, M. Theristis, G. P. Smestad, F. Almonacid, E. F. Fernandez, “Inverter clipping and its masking effect on PV soiling: truth or myth?”. [poster]

40th EUPVSEC, Lisbon, September 2023

  1. M. Theristis, K. Anderson, B. G. Pierce, J. Ascencio-Vasquez, J. S. Stein, “Impact of analytic decision making on photovoltaic degradation rate estimations using synthetic datasets”. [oral presentation] https://www.osti.gov/biblio/2293586
  2. https://www.osti.gov/biblio/2293594
  1. J. S. Stein et al., “IEA PVPS Task 13 Techno-Economic Study of Bifacial Photovoltaic Systems on Single Axis Trackers”. [oral presentation] https://www.osti.gov/biblio/2041090

PVPMC, Mendrisio, Switzerland, November 2023

  1. C. W. Hansen, “Uncertainty in annual yield: conceptual approaches and implementation in SAM”.
  2. C. W. Hansen, K. Anderson, W. Holmgren, M. Mikofski, A. R. Jensen, A. Driesse, “pvlib 2023 update: pvlib-python, pvanalytics and twoaxistracking”.
  3. J. S. Stein, “2023 IEA PVPS bifacial tracking modeling comparison”.
  4. M. Theristis, “2023 PVPMC blind modeling comparison”.

Sandia technical reports

  1. A. Driesse, J. S. Stein, M. Theristis, “Improving common PV module temperature models by incorporating radiative losses to the sky”, No. SAND2022-11604. Sandia National Laboratories. (SNL-NM), Albuquerque, NM (United States), 2022. https://www.osti.gov/biblio/1884890
  2. A. Driesse, M. Theristis, J. S. Stein, “PV module operating conditions and temperature measurements: an open dataset for PV research”, No. SAND2023-01949. Sandia National Laboratories. (SNL-NM), Albuquerque, NM (United States), 2023. https://www.osti.gov/biblio/2293574
  3. A. Driesse, M. Theristis, J. S. Stein, “Global horizontal spectral irradiance and module spectral response measurements: an open dataset for PV research”, No. SAND2023-02045. Sandia National Laboratories. (SNL-NM), Albuquerque, NM (United States), 2023. https://www.osti.gov/biblio/2293575
  4. M. Theristis, and J. S. Stein, “The 2021 blind PVPMC modeling intercomparison”, No. SAND2023-03135. Sandia National Laboratories. (SNL-NM), Albuquerque, NM (United States), 2023. https://www.osti.gov/biblio/2293576
  5. A. R. Jones, C. W. Hansen, K. S. Anderson, “Parameter estimation for incidence angle modifier models for photovoltaic modules”, No. SAND2023-13944. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), 2023. https://www.osti.gov/biblio/2293593

Public datasets [link: https://datahub.duramat.org/project/about/pvpmc]

  1. PV module spectral response measurements – Data and Resources https://doi.org/10.21948/2204677 https://www.osti.gov/biblio/2204677
  2. Global horizontal spectral irradiance in Albuquerque – Data and Resources https://doi.org/10.21948/2204674 https://www.osti.gov/biblio/2204674
  3. PV Module Operating Temperature – Data and Resources  https://doi.org/10.21948/2204673 https://www.osti.gov/biblio/2204673
  4. PV Performance Modeling – Data and Resources
    https://doi.org/10.21948/1970772 https://www.osti.gov/biblio/1970772

Websites

https://pvpmc.sandia.gov/modeling-steps/1-weather-design-inputs/shading-soiling-and-reflection-losses/soiling-losses/Modeling steps: Soiling loss definition
https://pvpmc.sandia.gov/modeling-steps/1-weather-design-inputs/shading-soiling-and-reflection-losses/kimber-soiling-model/Modeling steps: Kimber soiling model
https://pvpmc.sandia.gov/modeling-steps/1-weather-design-inputs/shading-soiling-and-reflection-losses/hsu-soiling-model/Modeling steps: HSU soiling model
https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/cell-temperature/noct-cell-temperature/Modeling steps: NOCT cell temperature model
https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/cell-temperature/fuentes-cell-temperature/Modeling steps: Fuentes cell temperature model
https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/effective-irradiance/spectral-mismatch-definition/Modeling steps: Spectral mismatch definition