All-sky Image Processing for Solar Energy Applications
Pages 185 - 188
Abstract
In this work, we aim at perform short-term prediction on the solar irradiance in order to allow the Photovoltaics (PV) operators to manage and allocate energy supplies. Making accurate short-term prediction helps ensure the stability of power supply without the need to reserve too much energy. All-sky cameras are devices that can be used to monitor the behaviors of the sun and the clouds. By analyzing all-sky images, we extract features that can be used to predict solar irradiance via a trained regression model. The results of this work could provide very useful information for PV operators to ensure greater efficiency of the solar energy supply.
References
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Feister, U. and Shields, J., 2005. Cloud and radiance measurements with the VIS/NIR daylight whole sky imager at Lindenberg (Germany). Meteorol. Z. 14, 627--639.
[2]
Pfister, G., McKenzie, R. L., Liley, J. B., Thomas, A., Forgan, B. W., and Long, C. N., 2003. Cloud coverage based on all-sky imaging and its impact on surface solar irradiance. J. Appl. Meteorol. 42, 1421--1434.
[3]
Calbo, J., Sabburg, J., 2008. Feature extraction from whole-sky ground-based images for cloud-type recognition. J. Atmos. Ocean. Tech. 25, 3--14.
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Heinle, A., Macke, A., Srivastav, A., 2010. Automatic cloud classification of whole sky images. Atmos. Measur. Technol. 3, 557--567.
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Singh, M., Glennen, M., 2005. Automated ground-based cloud recognition. Pattern Anal. Appl. 8, 258--271.
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Chow, C. W., Urquhart, B., Lave, M., Dominguez, A., Kleissl, J., Shields, J., Washom, B., 2011. Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed. Solar Energy 85, 2881--2893.
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Long, C. N., Sabburg, J., Calbó, J., and Pagès, D., 2006. Retrieving cloud characteristics from ground-based daytime colorall-sky images. J. Atmos. Ocean. Tech. 23, 633--652.
[8]
Gonzalez, R. C., Woods, R. E., 2002. Digital Image Processing 2nd Edition, Prentice Hall.
[9]
Perez, R., Seals, R., Ineichen, P., Stewart, R., Menicucci, D., 1987. A New Simplified Version of the Perez Diffuse Irradiance Model for Tilted Surfaces. Solar Energy 39, 221--231.
Index Terms
- All-sky Image Processing for Solar Energy Applications
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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- Research-article
- Research
- Refereed limited
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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