Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bryan Urquhart"'
Publikováno v:
Atmospheric Measurement Techniques, vol 9, iss 9
ATMOSPHERIC MEASUREMENT TECHNIQUES, vol 9, iss 9
Atmospheric Measurement Techniques, Vol 9, Iss 9, Pp 4279-4294 (2016)
Urquhart, B; Kurtz, B; & Kleissl, J. (2016). Sky camera geometric calibration using solar observations. ATMOSPHERIC MEASUREMENT TECHNIQUES, 9(9), 4279-4294. doi: 10.5194/amt-9-4279-2016. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/6x57q4z3
ATMOSPHERIC MEASUREMENT TECHNIQUES, vol 9, iss 9
Atmospheric Measurement Techniques, Vol 9, Iss 9, Pp 4279-4294 (2016)
Urquhart, B; Kurtz, B; & Kleissl, J. (2016). Sky camera geometric calibration using solar observations. ATMOSPHERIC MEASUREMENT TECHNIQUES, 9(9), 4279-4294. doi: 10.5194/amt-9-4279-2016. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/6x57q4z3
A camera model and associated automated calibration procedure for stationary daytime sky imaging cameras is presented. The specific modeling and calibration needs are motivated by remotely deployed cameras used to forecast solar power production wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99b9e5b16d68ea9400495767b370c1be
https://doi.org/10.5194/amt-9-4279-2016
https://doi.org/10.5194/amt-9-4279-2016
Autor:
Carlos F.M. Coimbra, Bryan Urquhart, Jan Kleissl, Hugo T.C. Pedro, Seyyed Mohammad Iman Gohari, Yinghao Chu
Publikováno v:
Solar Energy. 112:68-77
A smart, real-time reforecast method is applied to the intra-hour prediction of power generated by a 48 MWe photovoltaic (PV) plant. This reforecasting method is developed based on artificial neural network (ANN) optimization schemes and is employed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d827d996f84e8c8f525c46bf256924a
https://doi.org/10.1016/j.solener.2014.11.017
https://doi.org/10.1016/j.solener.2014.11.017
Publikováno v:
Solar Energy. 103:502-524
Solar irradiance forecast accuracy of a ground-based sky imaging system currently being developed at UC San Diego is analyzed by assessing its performance on thirty-one consecutive days of historical data collected during winter. Sky images were take
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3edf7be5261ee377422226670f424764
https://doi.org/10.1016/j.solener.2014.02.044
https://doi.org/10.1016/j.solener.2014.02.044
Autor:
M. S. Ghonima, Dung Nguyen, M.I. Gohari, Handa Yang, Jan Kleissl, Ben Kurtz, C. W. Chow, Bryan Urquhart
Publikováno v:
Energy Procedia. 49:2340-2350
The performance of the Total Sky Imager (TSI) and University of California, San Diego Sky Imager (USI) instruments has been evaluated using correlation and dispersion metrics applied to clear sky index. The TSI was located at a 48MW PV plant in Nevad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac7792102a52a43510d97e21faf27e7
https://doi.org/10.1016/j.egypro.2014.03.248
https://doi.org/10.1016/j.egypro.2014.03.248
Publikováno v:
Atmospheric Measurement Techniques, Vol 5, Iss 11, Pp 2881-2892 (2012)
Digital images of the sky obtained using a total sky imager (TSI) are classified pixel by pixel into clear sky, optically thin and optically thick clouds. A new classification algorithm was developed that compares the pixel red-blue ratio (RBR) to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d3b845f6f820abf05daae632e85d2b
https://doi.org/10.5194/amt-5-2881-2012
https://doi.org/10.5194/amt-5-2881-2012
Autor:
Matthew Lave, Bryan Urquhart, C. W. Chow, Anthony Dominguez, Janet Shields, Byron Washom, Jan Kleissl
Publikováno v:
Chow, Chi Wai; Urquhart, Bryan; Lave, Matthew; Dominguez, Anthony; Kleissl, Jan; Shields, Janet; et al.(2011). Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed. Solar Energy, 85(11), 2881-2893. doi: 10.1016/j.solener.2011.08.025. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/5813b9j0
Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed Chi Wai Chow 1 , Bryan Urquhart 1 , Matthew Lave 1 , Anthony Dominguez 1 , Jan Kleissl 1 , Janet Shields 2 , Byron Washom 3 Department of Mechanical and Aerospace
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcba4315ed44d76a12d795c410d46299
https://doi.org/10.1016/j.solener.2011.08.025
https://doi.org/10.1016/j.solener.2011.08.025
Publikováno v:
Atmospheric Measurement Techniques, vol 8, iss 2
Atmospheric Measurement Techniques, Vol 8, Iss 2, Pp 875-890 (2015)
Urquhart, B; Kurtz, B; Dahlin, E; Ghonima, M; Shields, JE; & Kleissl, J. (2015). Development of a sky imaging system for short-term solar power forecasting. Atmospheric Measurement Techniques, 8(2), 875-890. doi: 10.5194/amt-8-875-2015. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/3qh3p6jm
Atmospheric Measurement Techniques, Vol 8, Iss 2, Pp 875-890 (2015)
Urquhart, B; Kurtz, B; Dahlin, E; Ghonima, M; Shields, JE; & Kleissl, J. (2015). Development of a sky imaging system for short-term solar power forecasting. Atmospheric Measurement Techniques, 8(2), 875-890. doi: 10.5194/amt-8-875-2015. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/3qh3p6jm
To facilitate the development of solar power forecasting algorithms based on ground-based visible wavelength remote sensing, we have developed a high dynamic range (HDR) camera system capable of providing hemispherical sky imagery from the circumsola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5771f69eea567ad8fdad2a30a38d90fd
https://escholarship.org/uc/item/3qh3p6jm
https://escholarship.org/uc/item/3qh3p6jm
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 ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20ca97cb4f9a654aa46224fc5b5322bd
https://doi.org/10.1016/b978-0-12-397177-7.00009-7
https://doi.org/10.1016/b978-0-12-397177-7.00009-7