Forecasts of PV power output using power measurements of 80 residential PV installs

Conference Record of the IEEE Photovoltaic Specialists Conference

Volumn , Issue , 2012, Pages 3300-3305

  Lonij, Vincent P A ^a   Jayadevan, Vijai Thottathil ^b   Brooks, Adria E ^a   Rodriguez, Jeffrey J ^b   Koch, Kevin ^c   Leuthold, Michael ^b   Cronin, Alexander D ^a  

^a The University of Arizona   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c Technicians for Sustainability   (United States)

Author keywords

Clouds; Forecasting; Photovoltaic systems; Smart grids; Solar energy; Solar power generation

Indexed keywords

CLOUDY SKIES; FORECASTING ALGORITHM; GROUND BASED; HYBRID METHOD; IMAGE ANALYSIS ALGORITHMS; NUMERICAL WEATHER MODEL; OUTPUT POWER; PHOTOVOLTAIC SYSTEMS; POWER OUT PUT; PV SYSTEM; SMART GRID; SUN-TRACKING;

CAMERAS; CLOUDS; NUMERICAL MODELS; SOLAR ENERGY; SOLAR POWER GENERATION;

FORECASTING;

EID: 84869467842     PISSN: 01608371     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PVSC.2012.6318280     Document Type: Conference Paper

References (11)

1. National Academy of Engineering, Grand Challenges for Engineering, 2008, http://www.engineeringchallenges.org
2. G. Gowrisankaran, S. S. Reynolds, M. Samano, "Intermittency and the Value of Renewable Energy,", NBER Working Paper No. w17086. 2011, Available at SSRN: http://ssrn.com/abstract=1854188
3. R. Perez, S. Kivalov, J. Schlemmer, K. Hemker Jr., D. Renne, T. E. Hoff, "Validation of short and medium term operational solar radiation forecasts in the US,", Solar Energy, Vol. 84, pp. 2161-2172, 2010.
4. Solar Anywhere operational forecast https://solaranywhere.com As of May 2012, forecasts are available for 1-hour averages with a minimum forecast horizon of 1 hour. Spatial resolution is 10 km by 10 km. Higher spatial and temporal resolution is only available for historic data.
5. C. W. Chow, B. Urquhart, M. Lave, A. Dominguez, J. Kleissl, J. Shields, B. Washom, "Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed,", Solar Energy, Vol. 85, pp. 2881-2893, 2011.
6. Müller, R.W., Dagestad, K., F., Ineichen, P., Schroedter-Homscheidt, M., Cros, S., Dumortier, D., Kuhlemann, R., Olseth, J.A., Piernavieja, G., Reise, C., Wald, L., Heinemann, D. "Rethinking satellite-based solar irradiance modelling. The SOLIS clear-sky module,". Remote Sensing of Environment, Vol. 91, pp. 160-174, 2004.
7. V. Thottathil Jayadevan, V. P. A. Lonij, J. J. Rodriguez, A. D. Cronin, "Forecasting solar power intermittency using ground-based cloud imaging,", World Renewable Energy Forum 2012.
8. R. Perez, M. Beauharnois, K. Hemker, Jr., S. Kivalov, E. Lorenz, S. Pelland, J. Schlemmer, G. Van Knowe, "Evaluation of Numerical Weather Prediction Solar Irradiance Forecasts in the US.," Proc. ASES National Conference, 2011.
9. Arizona Regional WRF Model Data, Dept. of Atmospheric Sciences, University of Arizona, http://www.atmo.arizona.edu/?section=weather&id=wrf
10. Photovoltaics Group, University of Arizona, http://www.uapv.org
11. V. P. A. Lonij, A. E. Brooks, K. Koch, and A. D. Cronin, "Analysis of 100 rooftop PV systems in the Tucson, AZ area,", Photovoltaic Specialists Conference (PVSC), 2012 38th IEEE, 2012.