Abstract
High-resolution solar resource data is required for solar generation models such as SAM, power system models such as the IGMS, and for renewable integration studies. These models and tools require information at a temporal resolution of minutes and spatial resolution of 1-2 km. The NSRDB provides 20 year of solar resource information covering North and South America at 30 minute, 4km x 4km resolution. This paper summarizes the development of a physics-based methodology to downscale the NSRDB to higher spatiotemporal resolution for use in the various downstream models. The method utilizes the NSRDB radiative transfer models and is sufficiently generic to downscale any solar resource data from the NSRDB without any site-specific tuning required.
Original language | American English |
---|---|
Number of pages | 11 |
State | Published - 2020 |
Event | 2019 International Solar Energy Society (ISES) Solar World Congress - Santiago, Chile Duration: 4 Nov 2019 → 7 Nov 2019 |
Conference
Conference | 2019 International Solar Energy Society (ISES) Solar World Congress |
---|---|
City | Santiago, Chile |
Period | 4/11/19 → 7/11/19 |
NREL Publication Number
- NREL/CP-6A20-74386
Keywords
- algorithm
- downscaling
- National Solar Radiation Database
- NSRDB
- solar irradiance data
- solar resource data
- spatial resolution
- temporal resolution