Share Email Print
cover

Proceedings Paper

Camera-based forecasting of insolation for solar systems
Author(s): Daniel Manger; Frank Pagel
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With the transition towards renewable energies, electricity suppliers are faced with huge challenges. Especially the increasing integration of solar power systems into the grid gets more and more complicated because of their dynamic feed-in capacity. To assist the stabilization of the grid, the feed-in capacity of a solar power system within the next hours, minutes and even seconds should be known in advance. In this work, we present a consumer camera-based system for forecasting the feed-in capacity of a solar system for a horizon of 10 seconds. A camera is targeted at the sky and clouds are segmented, detected and tracked. A quantitative prediction of the insolation is performed based on the tracked clouds. Image data as well as truth data for the feed-in capacity was synchronously collected at one Hz using a small solar panel, a resistor and a measuring device. Preliminary results demonstrate both the applicability and the limits of the proposed system.

Paper Details

Date Published: 27 February 2015
PDF: 5 pages
Proc. SPIE 9405, Image Processing: Machine Vision Applications VIII, 94050M (27 February 2015); doi: 10.1117/12.2079262
Show Author Affiliations
Daniel Manger, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Frank Pagel, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 9405:
Image Processing: Machine Vision Applications VIII
Edmund Y. Lam; Kurt S. Niel, Editor(s)

© SPIE. Terms of Use
Back to Top