Abstract
We evaluate the feasibility of using various clear-sky models or purchased satellite data for estimating the soiling of a reference cell irradiance sensor. We find results to be more accurate for models that consider local meteorological conditions. We conclude that given the data sets considered, and depending on the requirements of the data analyst, choosing to use purchased satellite irradiance data from Solargis to estimate the soiling of a reference cell sensor tends to yield more accurate results, although there are instances where a clear-sky model performs better. The SOLIS clear-sky model in PVLIB with variable Pwat provided useful soiling results, implying that the general method of using a clear-sky model with local meteorological data may provide a low-cost tool for detecting soiling of irradiance sensors. irradiance data from Solargis to estimate the soiling of a reference cell sensor tends to yield more accurate results, although there are instances where a clear-sky model performs better. The SOLIS clear-sky model in PVLIB with variable Pwat provided useful soiling results, implying that the general method of using a clear-sky model with local meteorological data may provide a low-cost tool for detecting soiling of irradiance sensors.
Original language | American English |
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Number of pages | 9 |
State | Published - 2019 |
Event | 46th IEEE Photovoltaic Specialists Conference (PVSC 46) - Chicago, Illinois Duration: 16 Jun 2019 → 21 Jun 2019 |
Conference
Conference | 46th IEEE Photovoltaic Specialists Conference (PVSC 46) |
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City | Chicago, Illinois |
Period | 16/06/19 → 21/06/19 |
Bibliographical note
See NREL/CP-5K00-76287 for paper as published in IEEE proceedingsNREL Publication Number
- NREL/CP-5K00-75156
Keywords
- aerosol optical depth
- clear-sky
- irradiance
- photovoltaic performance
- precipitable water
- soiling
- soiling losses