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A method for including daily patterns to synthetic wind speed data for energy systems planning: Validation in the Azores Islands
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10.1063/1.3692220
/content/aip/journal/jrse/4/2/10.1063/1.3692220
http://aip.metastore.ingenta.com/content/aip/journal/jrse/4/2/10.1063/1.3692220

Figures

Image of FIG. 1.
FIG. 1.

Overview of the proposed methodology.

Image of FIG. 2.
FIG. 2.

Spectral analysis of the original data for the coastal, mid-island, and offshore location. In parenthesis the number of years of data included.

Image of FIG. 3.
FIG. 3.

A sine-curve fit to the monthly mean wind speed of the given number of years of data, separately for each location.

Image of FIG. 4.
FIG. 4.

The distribution of the five day types at the three locations based on the original wind speed data.

Image of FIG. 5.
FIG. 5.

The reference days fitted to the empirical hourly mean wind speeds of the days for each day type.

Image of FIG. 6.
FIG. 6.

Distibution of day types as a function of daily mean wind speed, per location. The day types, numbered one through five, correspond to the day types “No peak,” “00:00-06:00,” “06:00-12:00,” “12:00-18:00,” “18:00-24:00,” respectively.

Image of FIG. 7.
FIG. 7.

Spectral analysis comparison of original data with the reference method and the new method: the spectral information of the original data is reasonably well maintained by both methods for synthetic wind speed data.

Image of FIG. 8.
FIG. 8.

The distribution of the different day types in the test year of original data, the data generated by the new method and the data from the reference method.

Tables

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Table I.

Measured wind speed data information.

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Table II.

Seasonal mean wind speeds in m/s per location.

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Table III.

Lag-terms and standard deviations of the determined AR-models for variation of the daily mean wind speed from the reference value given by location.

Generic image for table
Table IV.

Lag-terms and standard deviations of the AR-models for variation of hourly mean wind speed from the reference value given by day type and location.

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Table V.

Seasonal variation factors for the test year, in relation to reference values calculated from the available years of historical data.

Generic image for table
Table VI.

Quantitative comparison of statistical characteristics of the test year data set, the synthetic data generated by the reference method and the new method. λ and κ refer to the Weibull scale and shape parameters respectively.

Generic image for table
Table VII.

Number of “off-days” in comparison to the test year for the average results of the scenarios from the new method and the results from the reference method for all three locations.

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/content/aip/journal/jrse/4/2/10.1063/1.3692220
2012-03-09
2014-04-17
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A method for including daily patterns to synthetic wind speed data for energy systems planning: Validation in the Azores Islands
http://aip.metastore.ingenta.com/content/aip/journal/jrse/4/2/10.1063/1.3692220
10.1063/1.3692220
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