Monitoring and Improving Performance in the Water
Industry
Monitoring processes and
interpreting the data can easily become an overwhelming task. This
can be especially true in the Water Industry where there are many
factors to consider across a large number of physically separate sites. Meniscus has
considerable expertise in this area and some examples where we are currently helping
companies include:
-
Process Benchmarking on 45 Waste Water
Treatment plant. Evaluating energy use at a Process level and then
comparing the performance of each process against other similar
processes on other sites.
-
Monitoring the Energy use per Ml of water
pumped for 50 boreholes. Calculations undertaken every 30 minutes
to help understand pump efficiency of different pumping
regimes.
-
Using CUSUM analysis to identify potential
ragging, blockages and similar operational issue at 35 pumping
stations.
-
Benchmarking the sludge thickening
performance of a number of centrifuge and belt thickener
systems
-
Monitoring the detailed operational cost
performance at a number of sludge dryers.
A brief case study.
Objective
A major UK Water Company came to Meniscus to try to make
sense of the performance data from their major wastewater treatment sites. The
two objectives were to identify opportunities to reduce energy, chemical and
sludge costs and to make the process performance information easily accessible
to various levels of staff in an understandable format.
Taking Measurements
The process plants already had standard instrumentation
fitted to measure the various consumption rates. These instruments were mostly
locally read meters (power meters, hours run meters, etc) together with some
meters connected to the central telemetry system monitoring data in real time
(flow, dissolved oxygen, tank levels, etc.). Using the powerful meter handling
facilities in IPMS we were able to feed the existing measurements into the
software which translated the raw data into real consumption figures. This
meant there was no need to add extra instrumentation to the wastewater plants.
The data gathering was simple to implement with the raw data
being collected by the plant operators and fed into the IPMS software via
handheld consoles, directly onto the web site, via spreadsheets or even by
simply faxing reading forms through to Meniscus.
Implementation
We developed a process model for the wastewater plant by
breaking it down into a number of process units. For each unit we set up
regular monthly monitoring of hours run data and using the existing meter
readings were able to calculate energy use and cost.
Each wastewater plant was modeled within the software to
produce individual performance and cost figures. We then set up a Process
Benchmarking system across the collection of sites to compare and contrast the
information for similar process units.
This information allowed us to establish performance targets
for each of the processes at each site. Settings exception trigger levels to
15% above the target energy or chemical usage costs now provides operators,
supervisors, etc. instant notification of potential problems within their site.
Outcome
By analysing and comparing the data from a wide range of
sites the Water Company was able to identify the best operating parameters and
therefore savings of over £80,000 per year.
Real time information about the actual performance and costs of each site is now available 24 hours a day to a wide range of staff. Each level of staff have their own customised reports to allow them to look at the processed data in the way that best suits their needs. By removing the complexity of the monitoring task further opportunities can now be identified and all members of the operational team can share ideas and comments on the plant operation.
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