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2023 IEA Bifacial Tracking Modeling Exercise

Page • We invite participants to simulate a set of seven imaginary PV systems for which the system design and weather data have been provided.  Anonymized results will be combined and analyzed to show similarities and differences between models.  Each participant will be assigned a participant number, which will be used to identify their...

2023 PVPMC – Salt Lake City

Page • 2023 16th PV Performance Modeling Workshop Salt Lake City, Utah USA Note that video recordings are only available for some of the presentations. Day 1: Tuesday May 9, 2023 Welcome to the 2023 PVPMC (3573 downloads) Joshua SteinSandia National Laboratories 1. Solar Resource Assessment Rethinking Typical Year Data Modeling for...

2023 PVPMC Blind Modeling Comparison

Page • Introduction Sandia National Laboratories is organizing the 2023 blind PVPMC modeling intercomparison to provide an opportunity for PV modelers to test their models and modeling ability against real system data and also help to provide a baseline quantifying how much variability there is between different models and modelers. Measured weather...

Call for Abstracts for the 2023 PVPMC Workshop – Due March 6, 2023 

Post, February 28, 2023 • Co-sponsored by Sandia National Laboratories, GroundWork Renewables and CFV Labs, this two-day workshop scheduled for May 9th and 10th in Salt Lake City, Utah, will examine the technical challenges and opportunities related to PV module and systems performance modeling. The workshop this year will have a single track and will...

Datasets

Page • Sandia National Laboratories has measured global normal spectral irradiance nearly continuously from August 2013 to April 2018. During this time other broadband irradiance measurements (global horizontal, direct normal, diffuse horizontal and global normal) and weather variables were also recorded. For this dataset PV Performance Labs (PVPL) has pulled together data...

Fuentes Cell Temperature

Page • The Fuentes cell temperature model is a first-principles energy balance model that, unlike most PV thermal models, includes the effect of thermal transience.  It was originally developed for the PVFORM simulation software and was later adopted by PVWatts (most notably versions 1 and 5).  In addition to the usual plane...

HSU Soiling Model

Page • Described by Coello and Boyle (2019), the Humboldt State University (HSU) soiling model predicts time series soiling ratio SR based on accumulated particulate mass density $$\omega$$ (g/m2): $$\DeclareMathOperator\erf{erf}SR = 1 – 34.37 * \erf(0.17 * \omega^{0.8473})$$ where $$\erf$$ refers to the Gauss error function.  Accumulated mass density $$\omega$$ is the...

Kimber Soiling Model

Page • The Kimber soiling model is a simple model of predicting a time series of soiling ratio values based on an assumed linear soiling accumulation rate and the timing of rainfall and other cleaning events. The model’s soiling rate represents the rate of performance loss accumulation rather than some physical rate...

Model Validation Procedure

Page • To predict the final output of a photovoltaic (PV) system, a variety of different types of models are required, like plane-of-array (POA) transposition, module temperature, and others depending on what meteorological data is available. As the data flows through the modeling pipeline, uncertainties can arise. As these uncertainties accumulate, it...

NOCT Cell Temperature

Page • The nominal operating cell temperature (NOCT) cell temperature model is used in the PV performance modeling application SAM and takes the form: $$T_c = T_a + \frac{E_{POA}}{800} (T_{noct,adj} – 20) \left(1 - \frac{\eta_{ref}}{\tau\alpha}\right) \frac{9.5}{5.7 + 3.8 v_{w,adj}}$$ where $$T_c$$ is cell temperature (°C)$$T_a$$ is ambient temperature (°C)$$E_{POA}$$ is the irradiance...

PV Lifetime Module Characterization Datasets

Page • List of Modules Fielded SiteManufacturerModelCell Technology# of modulesInstallation DateStatusNMTrina SolarTSM-PD05.08 260Wpoly-Si48June 2016NMJinko SolarJKM260P-60 260 Wpoly-Si48June 2016NMCanadian SolarCS6K-270P 270Wpoly-Si48October 2017NMCanadian SolarCS6K-275M 275Wmono-Si48October 2017NNHanwha Q-CellsQ.Plus BFR-G4.1 280Wpoly-Si PERC48October 2017NMHanwha Q-CellsQ.Peak BLK G4.1 300Wmono-Si PERC48October 2017NMPanasonicVBHN325SA16HIT Mono48June 2018NMLGLG320N1K-A5 320W LG NeON2N-PERT Si48June 2018NMMission SolarMSE300SQ5Tmono-Si PERC48May 2019NMItek EnergyIT-360-SE72mono-Si PERC50March 2020NMSolariaPowerXT-400R-PMmono-Si, shingled24October 2021NMLGLG400Q1C-A6mono n-type IBC24October...

Soiling Losses

Page • Dust, soot, organics, and other particulates accumulate on outdoor module surfaces over time, absorbing and scattering some fraction of plane-of-array irradiance before it enters the PV module.  This loss mechanism is called soiling and its magnitude depends on the nature of the accumulated particulate material and how much particulate has...

Spectral Mismatch Definition

Page • A photovoltaic device's spectral response $$SR$$ is what relates the device's short circuit current $$I_{sc}$$ to the incident spectral irradiance $$E(\lambda)$$: $$I_{sc} \propto \int_{0}^{\infty} E(\lambda) SR(\lambda) \mathrm{d} \lambda$$ However, using spectral irradiance to estimate device output in absolute terms like this is not common in practice.  What is more typical...