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Figure 1 uses an average of the default values[1] applied in a UD Plugin Urban Behavioural Demand node to illustrate the components of urban demand over a two-year period. Constant non-time-varying end-use efficiencies are applied and therefore indoor demand remains constant. Indoor demands will be more consistent, with long term changes occurring mostly as a result of population growth and also the implementation of changes in end-use efficiencies. The introduction of rainwater Tanks and greywater use will also impact on this long-term trend. Outdoor demands, however, are more variable, reflecting climate variations which can be the result of seasonal changes as well changes in use due to restrictions introduced during drought periods.
Figure 1 Urban demand components
Key to urban demand calibration is understanding this split between Indoor and Outdoor demands in a specific study area. Indoor demand calibration will determine the consistent, base component of a demand time series while outdoor demand calibration will determine the ‘peaks’ and ‘troughs’ of a demand time series.
Figure 1 Urban demand components
[1] Default end-use values are based on those reported by Roberts (2005) as the result of a study involving Yarra Valley Water residential customers in Melbourne, Australia
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