A Physical Downscaling Algorithm for the Generation of High-Resolution Spatiotemporal Solar Irradiance Data: Preprint
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1669402
- Report Number(s):
- NREL/CP-6A20-74386; MainId:6365; UUID:6a15bdba-8fac-e911-9c24-ac162d87dfe5; MainAdminID:13449
- Resource Relation:
- Journal Volume: 216; Conference: Presented at the 2019 International Solar Energy Society (ISES) Solar World Congress, 4-7 November 2019, Santiago, Chile
- Country of Publication:
- United States
- Language:
- English
Similar Records
A stochastic downscaling approach for generating high-frequency solar irradiance scenarios
What's New in the NSRDB