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Energies 2017, 10(7), 1007; doi:10.3390/en10071007

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

1
Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, ON M5S 1A4, Canada
2
Department of Geography, University of Toronto, 100 St. George Street, Toronto, ON M5S 3G3, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Tapas Mallick
Received: 27 June 2017 / Revised: 6 July 2017 / Accepted: 13 July 2017 / Published: 16 July 2017
View Full-Text   |   Download PDF [1442 KB, uploaded 16 July 2017]   |  

Abstract

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. View Full-Text
Keywords: wind power time series data; solar photovoltaic time series data; reanalysis data; open-access web tool wind power time series data; solar photovoltaic time series data; reanalysis data; open-access web tool
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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McPherson, M.; Sotiropoulos-Michalakakos, T.; Harvey, L.D.; Karney, B. An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset. Energies 2017, 10, 1007.

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