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For indoor water uses, the water use simulations for each household are based on the type of water-using appliance and the household occupancy of that household. The difference from the average daily model is that instead of specifying an average daily volume and percentages for each end use, the user specifies the water-using appliance and household occupancy and BESS simulates the water for each individual end-use using the in-built parameters for the water use event dynamics. The types of water-using appliances for each end-use are configured in the appliance types. This enables users to simulate the effects of changes in the uptake of water efficient appliances.
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- Fixed appliances and occupancy – where the type of appliances and occupancy for each house are fixed by the user
- Sampled appliances and occupancy – where the users inputs the user inputs probability distributions for the occupancy and water-using appliance. At the start of an Urban Developer Scenario run the occupancy and appliance type is randomly sampled for each house in the Behavioural Water Use nodes.
- Average appliance demand – rather than sampling from the probability distribution of water consumption for a usage event for each appliance, the average water use is selected. This mode can be used in conjunction with Fixed or Sampled appliances and occupancy and is activated by the 'Use Average Demand' checkbox available in the Behavioural Water Use node user interface.
Further details on these configurations are given below in Behavioural Model Configuration.
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The behavioural water use model configuration with fixed appliances and occupancy allows you to set appliance types for each end use indoor (showers, washing machines, dishwashers, taps and toilets) , household occupancy and outdoor (pool) end use under the Appliances option in Urban Settings for each water use node. Household occupancy is specified om the water use node interface. The water consumption for individual water use events is still sampled from probability distributions, as described in Capturing Temporal Variability in Indoor Water Use Events.
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