An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset

被引:16
|
作者
McPherson, Madeleine [1 ]
Sotiropoulos-Michalakakos, Theofilos [1 ]
Harvey, L. D. Danny [2 ]
Karney, Bryan [1 ]
机构
[1] Univ Toronto, Dept Civil Engn, 35 St George St, Toronto, ON M5S 1A4, Canada
[2] Univ Toronto, Dept Geog, 100 St George St, Toronto, ON M5S 3G3, Canada
来源
ENERGIES | 2017年 / 10卷 / 07期
关键词
wind power time series data; solar photovoltaic time series data; reanalysis data; open-access web tool; LONG-TERM PATTERNS; DIFFUSE FRACTION; IRRADIANCE COMPONENTS; PHOTOVOLTAIC SYSTEMS; INCLINED SURFACES; TILTED SURFACES; POWER RESOURCE; RADIATION; MODELS; VARIABILITY;
D O I
10.3390/en10071007
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
Wind and Solar Energy resources are an increasingly large fraction of generation in global electricity systems. However, the variability of these resources necessitates new datasets and tools for understanding their economics and integration in electricity systems. To enable such analyses and more, we have developed a free web-based tool (Global Renewable Energy Atlas & Time-series, or GRETA) that produces hourly wind and solar photovoltaic (PV) generation time series for any location on the globe. To do so, this tool applies the Boland-Ridley-Laurent and Perez models to NASA's (National Aeronautics and Space Administration) Modern-Era Retrospective Analysis for Research and Applications (MERRA) solar irradiance reanalysis dataset, and the Archer and Jacobson model to the MERRA wind reanalysis dataset to produce resource and power data, for a given technology's power curve. This paper reviews solar and wind resource datasets and models, describes the employed algorithms, and introduces the web-based tool.
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页数:14
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