2023-Announcements_RFI_SAND2023-03896C-1-1

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology invitations will be sent to software companies separately ➢ FAQ section will be updated on the PVPMC website as questions arise ➢ Results will be collected and handled by Sandia ensuring anonymity and an unbiased analysis ➢ Participants will have knowledge of their “participation number”; software names will be published 4 https//pvpmc.sandia.gov/ PVPMC and IEA Task 13 Scenarios5 S1 72.36 kWdc 1.2 DC/AC or 14 MW of monofacial, fixed-tilt, half-cut monocrystalline Trina Solar in Germany over 1-year at 5-min avg resolution S2 72.36 kWdc 1.2 DC/AC or 14 MW of monofacial, fixed-tilt, half-cut monocrystalline Trina Solar in Germany over 1-year at hourly avg resolution S3 3.9 kWdc of monofacial, fixed-tilt, LG n-PERT in Albuquerque, NM over 1-year at 1-min resolution S4 3.9 kWdc of monofacial, fixed-tilt, LG n-PERT in Albuquerque, NM over 1-year at hourly avg resolution Generously shared by Generously shared by PHASE 1 PHASE 2 Inverter 1 Weather station IEA Task 13 bifacial SAT simulation exercise Runs with Phase 1 Blind PVPMC intercomparison iterative process6 Sandia provides POA irradiance End of May Participants simulate module temperature, DC and AC power outputs End of July Sandia returns optimum modeled module temperature and provides derate guidelines Mid August Participants simulate DC and AC power outputs with provided module temperature and derate guidelines End of September PHASE 1 S1, S2 May – September 2023 Iterative process enables error propagation and a self-learning experience Analysis of Phase 1 and 2 will be published in a manuscript with best practices Sandia provides GHI, DHI, DNI irradiance October Participants simulate POA irradiance, Tmod, DC power End of October Sandia returns closest to measured POA irradiance Mid November Participants simulate Tmod and DC power December Sandia returns closest to measured module temperature and derate guidelines Mid December Participants simulate Tmod and DC power output with given derate guidelines End of January PHASE 2 S3, S4 October – January 2024 Why participate ➢ When an approach is tested against known datasets → bias ➢ These blind intercomparisons provide an opportunity for PV modelers to test their models and ability ➢ Participate in an international collaborative and see how your modeling skills or models compare to others ➢ Results are shared with the participants much earlier than any other dissemination efforts ➢ Participate in a large collaborative journal article ➢ Self-learning exercise; iterative process will allow modelers to understand at which steps the error/uncertainty is being introduced ➢ Get your company logo and name advertised for free 7 IEA PVPS Task 13 Modeling Comparison IEA PVPS Task 13 Activity 2.3 is documenting best practices for bifacial tracking PV systems PV performance modeling comparison Goal Compare how different modeling tools represent a set of design variations for bifacial PV tracked systems. Seven scenarios are defined that explore variations in GCR, height, albedo, configuration 1P vs. 2P, and ground slope. Participants will simulate front and rear irradiance, module temperature and DC power for a 8760 TMY dataset. Simulation instructions will be released by end of May 2023. Modeling will be performed during the Summer-Autumn of 2023. Participants will email modeling results to Sandia National Laboratories where they will be anonymized and issued a participant number. Only anonymized data will be available to the rest of the analysis team. Summary of results will be included in an IEA PVPS Task 13 report and participants will have the option to be included in the acknowledgements. 8 IEA PVPS Task 13 Modeling Exercise9 Simulation number Scenario name GCR Albedo Height Configuration Ground surface 1 Ref-A 0.4 0.2 1.5 m 1-Up portrait Horizontal 2 A1 0.25 0.2 1.5 m 1-Up portrait Horizontal 3 A2 0.4 0.5 1.5 m 1-Up portrait Horizontal 4 A3 0.4 0.2 3.5 m 1-Up portrait Horizontal 5 A5 0.4 0.2 1.5 m 1-Up portrait 10 grade* down to the East 6 A6 0.4 0.2 1.5 m 1-Up portrait 10 grade* down to the SW 7 Ref-B 0.4 0.2 3.5 m 2-Up portrait Horizontal Scenarios 10 grade slope angle of 5.71 deg from horizontal atan0.1 Any feedback is welcomed Marios Theristis mtherissandia.gov Solar Energy Technologies Office Award Number 38267 Well-documented PVPMC validation datasets can be downloaded at https//datahub.duramat.org/project/about/pvpmc Many thanks to our data sponsor Juergen Sutterlueti Sandia National Laboratories is a multimission laboratory managed and operated by National Technology Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. IV curve fitting competition Clifford Hansen SAND2023- IV curve fitting competition12 CEC, Pvsyst, other models contain IV curve models IV curve models require parameters for the single diode equation 𝐼 𝐼𝐿 −𝐼𝑂 exp 𝑉 𝐼𝑅𝑆𝑛𝑁 𝑆𝑉𝑡ℎ −1 −𝑉 𝐼𝑅𝑆𝑅 𝑆𝐻 How do I fit this equation to IV curve data Fitting the Single Diode Equation Also termed “parameter extraction” Hundreds of papers on this topic Comparison among methods is practically impossible - No consistent metrics, validation sets or even validation processes. We propose a set of benchmark tests and metrics Automated scoring and a competition platform https//cwhanse.github.io/ivcurves/ https//github.com/cwhanse/ivcurves 13 14U.S. DEPARTMENT OF ENERGY SOLAR ENERGY TECHNOLOGIES OFFICE Performance Data for Solar Photovoltaic Systems Acquisition, Access, and Sharing PVPMC 2023 Tassos Golnas, May 2023 15U.S. DEPARTMENT OF ENERGY SOLAR ENERGY TECHNOLOGIES OFFICE Performance Data for Solar PV Systems - RFI Limited access to high-quality information about real-world PV system performances SETO issued a Request For Information RFI to understand the value and barriers to accessing these datasets Oct 2022 This Photo by Unknown Author is licensed under CC BY 3. 1. 2. Data Owner Perspective o Cost and value of data Data User Perspective o Access, availability, and value of data System Developer/Owner Perspective o Value-add Ancillary Datasets https//www.energy.gov/eere/solar/articles/request-information-performance-data-solar-photovoltaic-systems-acquisition 16U.S. DEPARTMENT OF ENERGY SOLAR ENERGY TECHNOLOGIES OFFICE Received and reviewed responses from Diversity in RFI Respondents Independent System Operators Utilities University Researchers Insurance Companies National Labs Industry 17U.S. DEPARTMENT OF ENERGY SOLAR ENERGY TECHNOLOGIES OFFICE Key RFI Findings about PV Performance Data Cost of sharing Value of sharing Interest in data anonymization options Data Owners Cost and value of data Interested in FAIR and Orange Button compliance Useful data irradiance, weather, DC and AC generation, historical datasets 5-10 years Data Users Access, availability, and value of data Cell temperature, precise location of inverters, unique identifiers, system component failure data, maintenance information, aerial imagery System Developers/Owners Value-add ancillary datasets 18U.S. DEPARTMENT OF ENERGY SOLAR ENERGY TECHNOLOGIES OFFICE