کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1736351 | 1016214 | 2007 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Modelling changes to electricity demand load duration curves as a consequence of predicted climate change for Australia Modelling changes to electricity demand load duration curves as a consequence of predicted climate change for Australia](/preview/png/1736351.png)
In this paper, we describe a method for constructing regional electricity demand data sets at 30 min intervals, which are consistent with climate change scenarios. Specifically, we modify a commonly used linear regression model between regional electricity demand and climate to also describe intraday variability in demand so that regional load duration curves (LDCs) can be predicted. The model is evaluated for four different Australian states that are participants in the Australian National Electricity Market (NEM) and the resultant data sets are found to reproduce each state's LDCs with reasonable accuracy. We also apply the demand model to CSIRO's Mk 3 global climate model data sets that have been downscaled to 60 km resolution using CSIRO's conformal-cubic atmospheric model to estimate how LDCs change as a consequence of a 1 °C increase in the average temperature of Australian state capital cities. These regional electricity demand data sets are then useful for economic modelling of electricity markets such as the NEM.
Journal: Energy - Volume 32, Issue 9, September 2007, Pages 1647–1659