PVPMC published/presented the following in FY22-24:
Journal articles
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- A. Driesse, J. S. Stein, M. Theristis, “PV Module Operating Temperature Model Equivalence and Parameter Translation”. [poster] https://www.osti.gov/biblio/2003640
- 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
- M. Theristis, J. S. Stein, L. M. Deville et al., “International photovoltaic modeling intercomparison”. [plenary] https://www.osti.gov/biblio/2004810
- M. Kumari, M. Theristis, J. S. Stein, “Impact of various photovoltaic module characteristics across geographic regions”. [oral] https://www.osti.gov/biblio/2004754
- A. Driesse, J. Gallon, N. Kopidakis, M. Theristis, J. S Stein “Tools and Techniques for Spectral Irradiance Processing and Mismatch Estimation”. [poster] https://www.osti.gov/biblio/2293598
- L. Micheli et al., “The Economics of Photovoltaic Performance and Loss Mitigation in Electricity Spot Markets”. [poster] https://www.osti.gov/biblio/2293595
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
- 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
- C. W. Hansen, A. R. Jones, T. Transue, M. Theristis, “Benchmark tests for IV fitting algorithms”. [poster] https://www.osti.gov/biblio/2293584
- 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
- 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
- https://www.osti.gov/biblio/2293594
- 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
- C. W. Hansen, “Uncertainty in annual yield: conceptual approaches and implementation in SAM”.
- C. W. Hansen, K. Anderson, W. Holmgren, M. Mikofski, A. R. Jensen, A. Driesse, “pvlib 2023 update: pvlib-python, pvanalytics and twoaxistracking”.
- J. S. Stein, “2023 IEA PVPS bifacial tracking modeling comparison”.
- M. Theristis, “2023 PVPMC blind modeling comparison”.
Sandia technical reports
- 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
- 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
- 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
- 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
- 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]
- PV module spectral response measurements – Data and Resources https://doi.org/10.21948/2204677 https://www.osti.gov/biblio/2204677
- Global horizontal spectral irradiance in Albuquerque – Data and Resources https://doi.org/10.21948/2204674 https://www.osti.gov/biblio/2204674
- PV Module Operating Temperature – Data and Resources https://doi.org/10.21948/2204673 https://www.osti.gov/biblio/2204673
- 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 |