Optimization
of water meters management in Heredia (Costa Rica)
Efficient water supply for La Empresa de servicios Públicos de Heredia (ESPH)
Optimization
of water meters management in Heredia (Costa Rica)
Efficient water supply for La Empresa de servicios Públicos de Heredia (ESPH)
Water
Empresa de Servicios Publicos de Heredia SA (ESPH)
Heredia Costa Rica
Empresa
de Servicios
Públicos
de Heredia (ESPH),
the public utility company of Heredia in Costa Rica provides public lighting,
telecommunications, electricity, and water to the cantons of Heredia, San
Isidro, San Rafael and Barva.
The
company is highly committed to protecting the environment and to innovation and
has pioneered the application of digital solutions.
The
aim of the project was to improve the hydraulic performance of the ESPH water
distribution network and to optimize the management of customer meters
throughout the network, to avoid commercial losses due to sub-metering.
From
a social perspective, it was critical to limit water price rises by improving
management efficiency through the application of artificial intelligence and
big data.
SIWA Meter Data Analytics
The SIWA Meter Data Analytics has
monitored and optimized the performance of the water meters in ESPH since 2018.
The initial analysis performed by the software determined that the average measurement error level
was 7.5%; Over 16,000 meters should ideally be replaced to reduce the error
level to 6.3%, estimated as the optimal level from an economic point of view.
During 2021, 7,500 meters
identified according to the criteria specified by the tool, were replaced. The
result was an 8% reduction in average measurement errors and a 10.6% reduction
in the levels of meter under-registration.
The meters replaced in line with
the criteria specified by the tool showed up to 5-times higher revenues than
meters replaced using the previous replacement criteria, which had been based
mainly on meter age.
The solution was integrated into
ESPH’s day-to-day operations, helping the water utility not only to replace
meters at an optimal rate, but also to monitor the performance of the various
brands of water meters.
The key benefits for ESPH during
the Case Study period were:
Meters replaced in line with the
criteria specified by the tool recorded up to 5-times
higher revenues than
meters replaced using the previous replacement criteria, which has been based
mainly on age.
A reduction in metering error
levels from 7.5% to 6.9% in one year.
A 10.6% reduction of meter
under-registration.
Clear proof that advanced
algorithms can contribute to optimizing the water meter replacement process,
from an economic perspective.
With continued use of the tool and support in the selecting meters to replace, the economic return on a limited investment to replace meters has been maximized.
In the replacement of the proposed
meters, improvements in registered consumption of more than 68% is observed.
Consumption increases by 6.4 m3/month and meter (from 9.4 to 15.8 m3/month
and meter).