Restrictions
There are restrictions on which node inputs and outputs you can connect together. See Urban Developer node connection rules.
The Behavioural Water Use node is available for Urban Scenarios only.
Node Dependencies
Node Dependencies
The Behavioural Water Use node requires that the following inputs are configured through the Urban Developer Options:
- Climate inputs
- Diurnal pattern
- Appliance types
- Sampled Appliances & Occupancy (optional, required for the behavioural model with sampled appliances and occupancy only)
The Behavioural Model Configuration describes how these inputs are utilised by the behavioural model.
Node Outputs
Connect to any other end-use stream. For example, you can track your garden irrigation through this end-use, and link it back to a pervious area node in your model to capture the effects of run-off of irrigating your pervious area.
allocation and application of these parameters is further described in the Urban Settings section in the Urban Developer Plugin User Guide and the Behavioural Model Configuration section in the Urban Developer Plugin SRG.
Restrictions
There are restrictions on which node inputs and outputs you can connect together. See Urban Developer node connection rules.
The Behavioural Water Use node is available for Urban Scenarios only.
Anchor | ||||
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Node Property | Notes | |||||||
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Number of houses | Specify the number of houses the node representsrepresents | |||||||
Occupants per | household and End-use appliance type) applyhouse | Specify the number of occupants per household (applies only when the behavioural model configuration is set to | fixed appliances and occupancy.Appliances. When the behavioural model configuration is set to | sampledSampled appliances and occupancy, these properties are | not usedgrayed out in the user interface. Refer to | Behavioural Model Configuration forsection 2. Urban Settings for details. | Occupants per household | Specify the number of occupants per household) |
Average appliance demand | Switches between a Stochastic (BESS) and Average method of demand generation Stochastic demand generation will use random number generators to see if water use events occur throughout the day, based on the hourly likelihood for the particular end use. Some end use items also have a random generator for the volume of water used and / or the length of the event. Average demand generation will calculate the average event likelihood and demand volume for a timestep. This means each end use will generate the same demand rate for all timesteps until parameters change to affect end use item rating being used, number of people in the house, or number of houses being modelled. Outdoor use is the exception to this rule as it uses a specified data source, function, or monthly pattern for this demand generation. | |||||||
End-use appliance type | For Indoor end-use , specify the appliance type (e.g. type of shower, dishwasher, toilet, etc). See includes showers, taps and dishwashers, toilet and dishwashers as appliance types. Specifications for indoor water use appliance types in Behavioural model with fixed appliances and occupancy.It is currently not possible to specify an appliance type for the are set under the Urban Developer Options described in section 2. Urban Settings. Pool is currently the only end-use available under Outdoor end-use. | |||||||
Outdoor average daily demandSpecify | the The average daily outdoor demand can be specified using a single value, a time series, a function or a monthly pattern or a time series. By default a monthly pattern is applied. | |||||||
Supply source priorities | For each indoor/outdoor end-use, specify which supply sources are available an order of preference. For example, for the end-use Toilet (illustrated in Figure 2):
Un-checking Use for a supply source specifies that it will not supply that particular end-use. , in order of preference. | |||||||
Discharge breakdown | For each indoor/outdoor end-use, specify the percentage of water discharged as blackwater, greywater, or Irrigation/other wastewater. The values will be rescaled so that they sum to 100%. |
User Interface
The Behavioural Water Use node is configured via the node Feature Editor, illustrated below in Figure 1. to Figure
24. The first window of the Behavioural Water Use
node editor.Average Appliance Demand
node (Figure 1) allows the user to set the Number of houses which will use the end-use configuration specified on this node. This will be 1 if applying the node as a template for an Urban Combination Configuration run. Water end-use is categorised as Indoor and Outdoor use.
The average appliance demand is an option that can be used in conjunction with sampled or fixed appliances and occupancy. Rather
Average values for usage frequency and water consumption are used, rather than simulating the water consumption for individual appliance usage events by sampling from the probability distributions , as described in Capturing Temporal Variability in Indoor Water Use Events, the average values for usage frequency and water consumption are usedset up under the Urban Developer Options described in section 2. Urban Settings. The average values are configured in the Appliance Types Appliances menu.
The average appliance demand model is enabled using the Use Average Demand check box in the Behavioural Water Use node Feature Editor.
References
Micevski, T., Thyer, M., Kuczera, G. (2011) A Behavioural Approach for Household Outdoor Water Use Modelling. Paper submitted to Water Resources Research (April 2011).
Figure 1. Behavioural Water Use node editor
Indoor demand
Four end-use options are available for Indoor water demand allocation (Figure 2). Each end-use is defined by an end-use Rating (according to specification configured in the Urban Settings interface of the Urban Developer Options), a Supply type and a Discharge type.
Supply occurs according to the priority allocated to a particular Supply type. For example, for the end-use Toilet (illustrated in Figure 2) rainwater is the first preference for toilet flushing and, if no rainwater is available, then Mains water is used as the second preference for flushing. Un-checking Use for a supply source specifies that it will not supply that particular end-use. Two unspecified Alternate Supply options are available to represent supply from a source other that Mains or Rainwater, such as greywater.
Discharge can got to blackwater, greywater or an irrigation/other option. Discharge to each option is allocated as a part of the total discharge and the values will be re-scaled so that they sum to 100%.
Figure 2. Configuring Indoor end-use options in the Behavioural Water Use node editor
Outdoor demand
Outdoor demand typically replicates a seasonal variation in water use (e.g. domestic garden use which is higher during dryer months) and can therefore be modelled using a Time series, a Function or a Monthly pattern (Figure 3). Outdoor demand is also more likely to be impacted by long-term variations in climate.
As with the Indoor end-uses, a Supply type and a Discharge type are available for Outdoor demands. A Pool (Figure 4) can be added and can have different Supply and Discharge types to the general Outdoor demand.
Figure 3. Configuring Outdoor demand options in the Behavioural Water Use node editor
Figure 4. Configuring Outdoor demand options in the Behavioural Water Use node editor
References
Roberts, P. (2005) 2004 Residential End Use Measurement Study, Final Report: Yarra Valley Water, Victoria.Thyer, M. A., Duncan, H., Coombes, P., Kuczera, G., & Micevski, T. (2009) A probabilistic behavioural approach for the dynamic modelling of indoor household water use. In H2009: 32nd Hydrology and Water Resources Symposium: Adapting to Change, 30 November - 3 December 2009, Newcastle, Australia (p. 1059).
Thyer, M., Micevski, T., Kuczera, G., and Coombes, P. (2011) A Behavioural Approach to Stochastic End Use Modelling. Paper presented at Oz Water, 9-11 May 2011, Adelaide.
Acknowledgements
This material has been adapted from:
eWater Cooperative Research Centre (2011) Urban Developer User Guide: Urban Developer v1.0.0, eWater Cooperative Research Centre, Canberra, 29 June 2011. ISBN 978-1-921543-40-1