DocumentCode :
739004
Title :
Geostrophic Wind Dependent Probabilistic Irradiance Forecasts for Coastal California
Author :
Mathiesen, P. ; Brown, Justin M. ; Kleissl, Jan
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, San Diego, La Jolla, CA, USA
Volume :
4
Issue :
2
fYear :
2013
fDate :
4/1/2013 12:00:00 AM
Firstpage :
510
Lastpage :
518
Abstract :
Coastal California has enormous potential for rooftop solar photovoltaic (PV) energy production. To reduce grid-integration costs, accurate and certain solar energy forecasts are required. However, frequent marine layer fog and stratus conditions limit the accuracy of numerical weather prediction models, especially during the summer. Thus, irradiance uncertainty is large and probabilistic forecast intervals are generally wide. To produce narrow and meaningful forecast intervals, the correlation of uncertainty to local meteorological conditions describing synoptic-scale atmospheric flow was considered. Specifically, the direction and magnitude of geostrophic flow were used as an indicator of coastal cloud cover probability to produce regime-dependent forecast intervals. The method was tested in summer 2011 for coastal California. The forecast interval was smaller than that provided by previous methods for all except clear conditions and contained 80% of irradiance measurements.
Keywords :
clouds; probability; solar power; weather forecasting; wind; coastal cloud cover probability; geostrophic flow; geostrophic wind dependent probabilistic irradiance forecasts; grid integration costs; irradiance uncertainty; marine layer fog; probabilistic forecast intervals; rooftop solar photovoltaic energy production; solar energy forecasts; synoptic-scale atmospheric flow; weather prediction models; Clouds; Predictive models; Probabilistic logic; Sea measurements; Uncertainty; Wind forecasting; Numerical weather prediction; probabilistic forecasting; solar energy forecasting; uncertainty characterization;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2012.2200704
Filename :
6236289
Link To Document :
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