Abstract
This article proposes a method to improve the efficiency of solar power plants by estimating and forecasting the spatial distribution of direct normal irradiance (DNI) using a sensor network and anemometer data. For this purpose, the proposed approach employs spatio-temporal kriging with an anisotropic spatio-temporal variogram that depends on wind speed to accurately estimate the distribution of DNI in real-time, making it useful for short-term forecast and nowcast of DNI. Finally, the method is validated using synthetic data from varying sky conditions, outperforming another state-of-the-art technique.
Original language | English |
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Article number | e39247 |
Number of pages | 13 |
Journal | Heliyon |
Volume | 10 |
Issue number | 20 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- Direct normal irradiance
- Distributed estimation
- Forecasting
- Kriging
- Sensor networks
- Thermosolar plant