Consumption array has an extra dimension: flowtypes. This has the values totalflow and hotflow. totalflow is the total water consumption while hotflow is just the heated part of the waterflow.
Each end use has, when applicable, a temperature set of the water outflow from which the percentage of hot waterflow (also with a fixed temperature) is calculated.
plot and write functions have been updated.
This is a breaking change. Due to the addition of an extra dimension to the consumption data array statements like (as in the example) tot_cons = consumption.sum(['enduse', 'user']).mean([ 'patterns']) need to be replaced by: tot_cons = consumption.sum(['enduse', 'user']).sel(flowtypes='totalflow').mean([ 'patterns']) to get the same results. the .sel(flowtypes='totalflow') part selects the totalflow array. by replacing this by .sel(flowtypes='hotflow') you gain access to just the hot water flow.
Added warm water functionality
Consumption array has an extra dimension:
flowtypes. This has the valuestotalflowandhotflow.totalflowis the total water consumption whilehotflowis just the heated part of the waterflow.Each
end usehas, when applicable, a temperature set of the water outflow from which the percentage of hot waterflow (also with a fixed temperature) is calculated.plot and write functions have been updated.
This is a breaking change. Due to the addition of an extra dimension to the consumption data array statements like (as in the example)
tot_cons = consumption.sum(['enduse', 'user']).mean([ 'patterns'])need to be replaced by:tot_cons = consumption.sum(['enduse', 'user']).sel(flowtypes='totalflow').mean([ 'patterns'])to get the same results. the.sel(flowtypes='totalflow')part selects the totalflow array. by replacing this by.sel(flowtypes='hotflow')you gain access to just the hot water flow.