Journal article
Optimising the deployment of renewable resources for the Australian NEM (National Electricity Market) and the effect of atmospheric length scales
R Huva, R Dargaville, P Rayner
Energy | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016
Abstract
This study sheds new light on the variability of wind power across the Australian NEM (National Electricity Market) and in doing so gives an insight on the potential network configuration for a high RE (Renewable Electricity) future. We present idealised cost-minimised simulations for the NEM utilising onshore wind, large-scale solar, pumped hydro and OCGT (open cycle gas turbines) technologies. A model using gridded meteorological data from the regional ACCESS-(Australian Community Climate and Earth-System Simulator) simulates wind and solar technology output along with generation from OCGT to meet demand in the NEM for the period 2010-2011. A cost for connecting each location to the neares..
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Awarded by Australian Research Council
Funding Acknowledgements
Rayner is in receipt of an ARC Professorial Fellowship (DP1096309), Dargaville is in receipt of the Australian Renewable Energy Association grant no. 002489 and the work of Huva was made possible through a Melbourne Research Scholarship. The authors acknowledge ECMWF for the ERA-Interim data and the Bureau of Meteorology for the ACCESS-R data. The authors also acknowledge Stephen Thomas and Marcelle Gannon for their contribution to the establishment and maintenance of the Genetic Algorithm code.