Accession Number:

ADA191344

Title:

Space-Time Modelling with Long-Memory Dependence: Assessing Ireland's Wind Power Resource.

Descriptive Note:

Technical rept.,

Corporate Author:

WASHINGTON UNIV SEATTLE DEPT OF STATISTICS

Personal Author(s):

• Haslett, John
• Raftery, Adrian E.

Report Date:

1987-10-01

Pagination or Media Count:

30.0

Abstract:

The Irish government has, in recent years, been considering the possibility of using wind energy to meet a significant portion of Irelands energy needs. This paper describes a project aimed at developing methods for the evaluation of Irelands wind power resource. The authors consider estimation of the long-term average power output from a wind turbine generator at a site for which little data on wind speeds is available. Long-term records of wind speeds at the twelve synoptic meteorological stations are also used. Inference is based on a simple and parsimonious approximating model which accounts for the main features of wind speeds in Ireland, namely seasonal effects, spatial correlation, short-memory temporal autocorrelation, and long-memory temporal dependence. It syntheses deseasonalisation, kriging, ARMA modelling, and fractional differencing in a natural way. A simple kriging estimator performs well as a point estimator, and good interval estimators result from the model. The resulting procedure is easy to apply in practice.

Descriptors:

• *IRELAND
• *WIND
• *ENERGY MANAGEMENT
• CORRELATION
• ENERGY
• ESTIMATES
• GENERATORS
• OUTPUT
• POWER
• RESOURCES
• SEASONAL VARIATIONS
• SPATIAL DISTRIBUTION
• TURBINES
• WIND VELOCITY

Subject Categories:

• Non-electrical Energy Conversion
• Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE