Welcome to the official site for the Solar Resource Assessment and Forecasting Laboratory

at the University of California, San Diego!

Picture1

Raw image from a UCSD sky imager.

We are an enthusiastic, diverse group of Masters, PhD, and Postdoctoral researchers working in the areas of solar forecasting and grid integration of renewable energy. We are led by Professor Jan Kleissl. As a group, our research encompasses three focuses: long-term solar forecasting using numerical weather prediction; short-term solar forecasting using sky-imagers; and diverse grid integration topics which utilize solar forecasting, power system modeling, optimization, and control. Please enter to learn more!

Our most recent publications:

  • [DOI] A. Nguyen, M. Velay, J. Schoene, V. Zheglov, B. Kurtz, K. Murray, B. Torre, and J. Kleissl, “High PV penetration impacts on five local distribution networks using high resolution solar resource assessment with sky imager and quasi-steady state distribution system simulations,” Solar energy, vol. 132, pp. 221-235, 2016.
    [Bibtex]
    @article{Nguyen2016,
    doi = {10.1016/j.solener.2016.03.019},
    url = {http://dx.doi.org/10.1016/j.solener.2016.03.019},
    year = {2016},
    month = {jul},
    publisher = {Elsevier {BV}},
    volume = {132},
    pages = {221--235},
    author = {Andu Nguyen and Maxime Velay and Jens Schoene and Vadim Zheglov and Ben Kurtz and Keenan Murray and Bill Torre and Jan Kleissl},
    title = {High {PV} penetration impacts on five local distribution networks using high resolution solar resource assessment with sky imager and quasi-steady state distribution system simulations},
    journal = {Solar Energy}
    }
  • [DOI] X. Zhong, J. A. Ruiz-Arias, and J. Kleissl, “Dissecting surface clear sky irradiance bias in numerical weather prediction: application and corrections to the new goddard shortwave scheme,” Solar energy, vol. 132, pp. 103-113, 2016.
    [Bibtex]
    @article{Zhong2016,
    doi = {10.1016/j.solener.2016.03.009},
    url = {http://dx.doi.org/10.1016/j.solener.2016.03.009},
    year = {2016},
    month = {jul},
    publisher = {Elsevier {BV}},
    volume = {132},
    pages = {103--113},
    author = {Xiaohui Zhong and Jos{\'{e}} A. Ruiz-Arias and Jan Kleissl},
    title = {Dissecting surface clear sky irradiance bias in numerical weather prediction: Application and corrections to the New Goddard Shortwave Scheme},
    journal = {Solar Energy}
    }
  • [DOI] G. Wang, B. Kurtz, and J. Kleissl, “Cloud base height from sky imager and cloud speed sensor,” Solar energy, vol. 131, pp. 208-221, 2016.
    [Bibtex]
    @article{Wang2016,
    doi = {10.1016/j.solener.2016.02.027},
    url = {http://dx.doi.org/10.1016/j.solener.2016.02.027},
    year = {2016},
    month = {jun},
    publisher = {Elsevier {BV}},
    volume = {131},
    pages = {208--221},
    author = {Guang Wang and Ben Kurtz and Jan Kleissl},
    title = {Cloud base height from sky imager and cloud speed sensor},
    journal = {Solar Energy}
    }
  • [DOI] M. S. Ghonima, T. Heus, J. R. Norris, and J. Kleissl, “Factors controlling stratocumulus cloud lifetime over coastal land,” J. atmos. sci., 2016.
    [Bibtex]
    @article{Ghonima2016,
    doi = {10.1175/jas-d-15-0228.1},
    url = {http://dx.doi.org/10.1175/JAS-D-15-0228.1},
    year = {2016},
    month = {mar},
    publisher = {American Meteorological Society},
    author = {Mohamed S. Ghonima and Thijs Heus and Joel R. Norris and Jan Kleissl},
    title = {Factors controlling stratocumulus cloud lifetime over coastal land},
    journal = {J. Atmos. Sci.}
    }