20_presentation_waterlosses_workshop_cmi
DESCRIPTION
http://cmimarseille.org/_docs/WaterLosses2013/20_presentation_waterlosses_workshop_cmi.pdfTRANSCRIPT
Why do you want to reduce water losses? Poli8cal reasons
Economic reasons
Environmental reasons
Socio-‐economical reasons
Then we are ready to set targets
Thinking about the drivers
How to get there in the most efficient way?
Thinking about the drivers
Think on the long term! Any policy must be
sustainable
Obviously, this assessment of the network and the current situa8on is far
more difficult without meters
If we do not have meters we will have to make ESTIMATIONS.
We will see what we want to see (or what others want to be seen)
Calcula8ng a water balance
They help us in knowing where we are
They are also the cash registers of our company
The amount of water used is related to the presence of a water meter
Why are meters important?
Remember that the op8mal /expected metering quality is related to the value of the good we are selling Expensive meters make no sense if water price is low!
Selec8ng a meter
Selec8ng a meter
High-‐tech meters are not always the best choice, even if they have a very nice error curve
Remember that the op8mal /expected metering quality is related to the value of the good we are selling Expensive meters make no sense if water price is low!
A water meter type cannot be selected without considering: Water quality
Con8nuity of service
Tampering problems
High/low temperatures Pressure
Others…
Selec8ng a meter
Apparent losses components
Economic level of
apparent losses Meter Inaccuracy
Illegal
Consum
p7on
How large can meter inaccuracy
be?
Meters performance
Class B Velocity meter
30 l/h 120 l/h 3000 l/h
-‐10
-‐5
0
5
10 100 1000 10000 Flow rate (l/h)
Error (%
)
Leaks
Meters have measuring limita8ons The error depends on the water flow rate through the meter
Each meter type has a different error curve (signature)
Meters performance
-‐10
-‐5
0
5
10 100 1000 10000 Flow rate (l/h)
Error (%
)
We need to know how customers use water!
Meters performance
Measuring error
Error curve Water consump8on paYern
What is the ini8al error of a domes8c meter?
Meter brand
0%
-‐11.5%
Users with roof tanks
Apartments (few leaks)
Depending on the domes8c meter brand the INITIAL error can be as high as -‐11% or even more!
What is the ini8al error of a domes8c meter?
Maybe now you do not give an answer so
easily!
Performance is also affected by installa8on condi8ons
How much money you lose if you do not install meters horizontally?
Selec8ng a meter
High-‐tech meters are not always the best choice, even if they have a very nice error curve
We should not only be interested in the ini8al error The rate of degrada8on of the error curve is much more important
It will depend: On the design of the meter
Quality of materials Installa8on condi8ons
Working condi8ons
Water quality
Metering errors
The ini8al performance is not forever
Some meters will be affected by water quality Velocity meters can show over-‐registra8on!
This par8cular meter had an error of +25%
The ini8al performance is not forever
We need to protect our measuring instruments from being dismounted
Is this the way?
The ini8al performance is not forever
Meters with electronic components will also suffer from sodware bugs!
The ini8al performance is not forever
Consump8on paYerns can significantly contribute to the degrada8on of the meters
High flows
Sudden changes
Example of a commercial meter degrada8on
Accumulated volume = 27000 m3
Consump8on = 400 m3/month Age = 5.7 years Water selling price = 0.5 €/m3
Error curve Water consump8on paYern
Flow rate (l/h) Flow rate (l/h)
Weighted error = -‐6.1% (installed meter)
Weighted error = -‐1% (new meter – same type)
Meter are an essen8al tool to conduct a proper assessment of the system
Metering quality should be in accordance to water price As any other instrument, meters have a metrological limita8ons
They cannot measure everything
Their performance degrade with over 8me
Can be manipulated
Measuring errors can be extremely high even from the start Measuring errors do not only depend on the meter
Conclusions