Applications of a shadow camera system for energy meteorology
Pascal Kuhn
CORRESPONDING AUTHOR
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
Stefan Wilbert
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
Christoph Prahl
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
Dominik Garsche
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
David Schüler
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
Thomas Haase
German Aerospace Center (DLR), Institute of Solar Research,
Plataforma Solar de Almería, Ctra. De Senés s/n km 5, 04200
Tabernas, Spain
Lourdes Ramirez
CIEMAT, Energy Department – Renewable Energy Division, Av.
Complutense, 40, 28040 Madrid, Spain
Luis Zarzalejo
CIEMAT, Energy Department – Renewable Energy Division, Av.
Complutense, 40, 28040 Madrid, Spain
Angela Meyer
MeteoSwiss, Les Invuardes, 1530 Payerne, Switzerland
Philippe Blanc
MINES ParisTech, PSL Research University, O. I. E. Centre
Observation, Impacts, Energy, CS 10207, 06904, Sophia Antipolis CEDEX,
France
Robert Pitz-Paal
German Aerospace Center (DLR), Institute of Solar Research, Linder
Höhe, 51147 Cologne, Germany
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Site-specific seasonal changes of environmental conditions cause small but noticeable fluctuation of calibration results. Calibration results within certain periods show a higher likelihood of deviation. These effects can partially be attenuated by including more measurements from outside these periods.
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P. Blanc and L. Wald
Adv. Sci. Res., 13, 1–6, https://doi.org/10.5194/asr-13-1-2016, https://doi.org/10.5194/asr-13-1-2016, 2016
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Atmos. Meas. Tech., 8, 5099–5112, https://doi.org/10.5194/amt-8-5099-2015, https://doi.org/10.5194/amt-8-5099-2015, 2015
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N. Hanrieder, S. Wilbert, R. Pitz-Paal, C. Emde, J. Gasteiger, B. Mayer, and J. Polo
Atmos. Meas. Tech., 8, 3467–3480, https://doi.org/10.5194/amt-8-3467-2015, https://doi.org/10.5194/amt-8-3467-2015, 2015
W. Wandji Nyamsi, A. Arola, P. Blanc, A. V. Lindfors, V. Cesnulyte, M. R. A. Pitkänen, and L. Wald
Atmos. Chem. Phys., 15, 7449–7456, https://doi.org/10.5194/acp-15-7449-2015, https://doi.org/10.5194/acp-15-7449-2015, 2015
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A novel model of the absorption of radiation by ozone in the UV bands [283, 307]nm and [307, 328]nm yields improvements in the modeling of the transmissivity in these bands. This model is faster than detailed spectral calculations and is as accurate with maximum errors of respectively 0.0006 and 0.0143. How to practically implement this new parameterization in a radiative transfer model is discussed for the case of libRadtran.
W. Wandji Nyamsi, B. Espinar, P. Blanc, and L. Wald
Adv. Sci. Res., 12, 5–10, https://doi.org/10.5194/asr-12-5-2015, https://doi.org/10.5194/asr-12-5-2015, 2015
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We propose an innovative method to estimate the Photosynthetically Active Radiation (PAR) under clear sky conditions derived from the fast approach of Kato et al. (1999). It provides very good results better than the two state-of-the-art empirical methods computing the daily mean of PAR from the daily mean of total irradiance. In addition, this technique may be extended to be able to accurately estimate other spectral quantities taking into account absorption of plants photosynthetic pigments.
P. Blanc, C. Coulaud, and L. Wald
Adv. Sci. Res., 12, 1–4, https://doi.org/10.5194/asr-12-1-2015, https://doi.org/10.5194/asr-12-1-2015, 2015
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New Caledonia experiences a decrease in surface solar irradiation since 2004, of order of 4% of the mean yearly irradiation, and amounts to 9 W m 2. The preeminent roles of the changes in cloud cover and to a lesser extent, those in aerosol optical depth on the decrease in yearly irradiation are evidenced. The study highlights the role of data sets offering a worldwide coverage in understanding changes in solar radiation and planning large solar energy plants.
J. Badosa, J. Wood, P. Blanc, C. N. Long, L. Vuilleumier, D. Demengel, and M. Haeffelin
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A. Oumbe, Z. Qu, P. Blanc, M. Lefèvre, L. Wald, and S. Cros
Geosci. Model Dev., 7, 1661–1669, https://doi.org/10.5194/gmd-7-1661-2014, https://doi.org/10.5194/gmd-7-1661-2014, 2014
B. Reinhardt, R. Buras, L. Bugliaro, S. Wilbert, and B. Mayer
Atmos. Meas. Tech., 7, 823–838, https://doi.org/10.5194/amt-7-823-2014, https://doi.org/10.5194/amt-7-823-2014, 2014
M. Lefèvre, A. Oumbe, P. Blanc, B. Espinar, B. Gschwind, Z. Qu, L. Wald, M. Schroedter-Homscheidt, C. Hoyer-Klick, A. Arola, A. Benedetti, J. W. Kaiser, and J.-J. Morcrette
Atmos. Meas. Tech., 6, 2403–2418, https://doi.org/10.5194/amt-6-2403-2013, https://doi.org/10.5194/amt-6-2403-2013, 2013
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Short summary
Downward-facing shadow cameras might play a major role in future energy meteorology. Shadow cameras image shadows directly on the ground from an elevated position. They are used to validate other systems (e.g. all-sky imager based nowcasting systems, cloud speed sensors or satellite forecasts) and can potentially provide short term forecasts for solar power plants. Such forecasts are needed for electricity grids with high penetrations of renewable energy and solar power plants.
Downward-facing shadow cameras might play a major role in future energy meteorology. Shadow...