To use existing SCADA/telemetry operational data, as well as sub-metered and site-based energy data, to deliver low-level process specific energy benchmarks to identify energy inefficiencies and to calculate the energy costs of operating each process and sub process.
15-minute data is collected in the corporate telemetry system from some 10,000+ pumps, drives, blowers etc., as well as process specific information on flows, tank levels, dissolved oxygen and much more is pushed into the Meniscus platform at the beginning of each day.
The Analytics Platform processes this raw data into the pump and drive estimated kWh figures and then aggregates this data into sub-processes (a group of pumps for example) and then into processes (Return Activated Sludge pumping for example). At each level of aggregation, Targets are applied to the calculated data, based on historic analysis and regression techniques, as well as High and Low expected values (these values are calculated values that can be based on flows etc).
The Actual and Target values from each sub-process and process are then aggregated to a total site value and compared against the accurately measured fiscal metered electricity readings available for the overall Site.
Exceptions are generated where Actual values exceed the individual drive, sub process or process based High and Low-level values to deliver pro-active alerts that energy use for an individual, or group of pumps is higher than expected.
All the exceptions and management information is calculated within approximately 1 ½ hours of the initial raw data being fed into the system.
Benefits of using MAP
MAP delivers the flexibility to allow the Energy Team to directly control the calculations and information that is calculated by the system and to ensure that the data collected matches the physical infrastructure on site.
Using MAP’s widget based graphs makes it possible to share this information readily with operators on sites and lets the Energy team set up their own simple web-enabled dashboards simply and quickly.