Sky-Imaging Systems for Short-Term Forecasting

Autor: Jan Kleissl, Bryan Urquhart, C. W. Chow, Dung Nguyen, M. S. Ghonima, Ben Kurtz
Rok vydání: 2013
Předmět:
DOI: 10.1016/b978-0-12-397177-7.00009-7
Popis: This chapter discusses the use of ground-based visible wavelength imagery for short-term forecasting of solar-power output. It begins with selected applications of short-term forecasting to both transmission- and distribution-scale generation. The hardware used in sky-imaging systems is next presented, providing technical and historical information on system optics and sensory equipment (e.g., charge-coupled devices). A high-quality sky-imaging system designed by the authors (the USI) is then briefly examined. The core of the chapter consists of describing sky-imagery analysis techniques, followed by their application to a large solar-power plant. The techniques used to detect clouds, determine their height, and estimate their motion are explained. Application of these methods to generate a power forecast is presented in a case study of a 48 MW solar-power plant, for which a week of data was analyzed. The results are discussed and ideas for improvement are presented. Finally, recommendations for advancing ground-based visible-wavelength imagery and forecast performance are presented.
Databáze: OpenAIRE