Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets

被引:137
|
作者
Polo, J. [1 ]
Wilbert, S. [2 ]
Ruiz-Arias, J. A. [3 ]
Meyer, R. [4 ]
Gueymard, C. [5 ]
Suri, M. [6 ]
Martin, L. [7 ]
Mieslinger, T. [4 ]
Blanc, P. [8 ]
Grant, I. [9 ]
Boland, J. [10 ]
Ineichen, P. [11 ]
Remund, J. [12 ]
Escobar, R. [13 ]
Troccoli, A. [14 ]
Sengupta, M. [15 ]
Nielsen, K. P. [16 ]
Renne, D. [17 ]
Geuder, N. [18 ]
Cebecauer, T.
机构
[1] CIEMAT, Renewable Energy Div, Avda Complutense 40, E-28040 Madrid, Spain
[2] PSA, Inst Solar Res, DLR, Plataforma Solar Almeria, Spain
[3] Univ Jaen, MATRAS Grp, Jaen, Andalucia, Spain
[4] Suntrace GmbH, Hamburg, Germany
[5] Solar Consulting Serv, Madrid, Spain
[6] GeoModel Solar, Bratislava, Slovakia
[7] IrSOLaV, Madrid, Spain
[8] MINES ParisTech, OIE, Paris, Ile De France, France
[9] Australian Bur Meteorol, Sydney, NSW, Australia
[10] Univ S Australia, Adelaide, SA 5001, Australia
[11] Univ Geneva, Inst FA Forel, CH-1211 Geneva 4, Switzerland
[12] Meteotest, Bern, Switzerland
[13] Pontificia Univ Catolica Chile, Santiago, Chile
[14] World Energy & Meteorol Council, London, England
[15] NREL, Boulder, CO USA
[16] Danish Meteorol Inst, Copenhagen, Denmark
[17] Dave Renne Renewables LLC, Boulder, CO USA
[18] Univ Appl Sci Stuttgart, CSP Serv, Stuttgart, Germany
关键词
Satellite-derived solar radiation; Site adaptation; Bankability of data for solar projects; Solar radiation model-derived data; AEROSOL OPTICAL DEPTH; RESOURCE ASSESSMENT; GLOBAL RADIATION; IRRADIANCE; SURFACE; MODEL; ACCURACY; VARIABILITY; REST2; CHILE;
D O I
10.1016/j.solener.2016.03.001
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
At any site, the bankability of a projected solar power plant largely depends on the accuracy and general quality of the solar radiation data generated during the solar resource assessment phase. The term "site adaptation" has recently started to be used in the framework of solar energy projects to refer to the improvement that can be achieved in satellite-derived solar irradiance and model data when short-term local ground measurements are used to correct systematic errors and bias in the original dataset. This contribution presents a preliminary survey of different possible techniques that can improve long-term satellite-derived and model-derived solar radiation data through the use of short-term on-site ground measurements. The possible approaches that are reported here may be applied in different ways, depending on the origin and characteristics of the uncertainties in the modeled data. This work, which is the first step of a forthcoming in-depth assessment of methodologies for site adaptation, has been done within the framework of the International Energy Agency Solar Heating and Cooling Programme Task 46 "Solar Resource Assessment and Forecasting". (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:25 / 37
页数:13
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