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Atmosphere 2016, 7(2), 23; doi:10.3390/atmos7020023

The Application of TAPM for Site Specific Wind Energy Forecasting

School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Academic Editors: John Boland and Robert W. Talbot
Received: 6 December 2015 / Revised: 25 January 2016 / Accepted: 26 January 2016 / Published: 5 February 2016
(This article belongs to the Special Issue Climate Variable Forecasting)
View Full-Text   |   Download PDF [5633 KB, uploaded 5 February 2016]   |  

Abstract

The energy industry uses weather forecasts for determining future electricity demand variations due to the impact of weather, e.g., temperature and precipitation. However, as a greater component of electricity generation comes from intermittent renewable sources such as wind and solar, weather forecasting techniques need to now also focus on predicting renewable energy supply, which means adapting our prediction models to these site specific resources. This work assesses the performance of The Air Pollution Model (TAPM), and demonstrates that significant improvements can be made to only wind speed forecasts from a mesoscale Numerical Weather Prediction (NWP) model. For this study, a wind farm site situated in North-west Tasmania, Australia was investigated. I present an analysis of the accuracy of hourly NWP and bias corrected wind speed forecasts over 12 months spanning 2005. This extensive time frame allows an in-depth analysis of various wind speed regimes of importance for wind-farm operation, as well as extreme weather risk scenarios. A further correction is made to the basic bias correction to improve the forecast accuracy further, that makes use of real-time wind-turbine data and a smoothing function to correct for timing-related issues. With full correction applied, a reduction in the error in the magnitude of the wind speed by as much as 50% for “hour ahead” forecasts specific to the wind-farm site has been obtained. View Full-Text
Keywords: wind energy; forecasting; bias correction wind energy; forecasting; bias correction
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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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Kay, M. The Application of TAPM for Site Specific Wind Energy Forecasting. Atmosphere 2016, 7, 23.

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