Acquire and Analyze Energy Flows and Consumption Data

Application

The iba system is ideal for evaluating your energy efficiency as it monitors energy and process data together and gives you a constant overview of all performance indicators and characteristic values.

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Benefits Energy Data Analysis Visualizations Functions Customers More Applications

Energy Monitoring

When used as an energy monitoring system, an important factor is the ability to monitor the energy data over the long term. The data acquired is usually collected in 15-minute intervals over a long period of time to enable statistical analyses, but the recording intervals can also be adjusted in different ways if required.

Benefits at a Glance

Seamlessly zoom from the 15-minute value down to μs level
Perform real-time analyses of energy and process data
Correlate events, e.g., from substations or from production and operation
Connect existing systems via OPC UA, M-bus (via gateway), Modbus TCP, or PLC communication
Audit-related analyses and automated reports
Analyses for annual statistics (15-minute values)

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Use as an Energy Monitoring System

It does not matter where the data comes from – the iba system determines and calculates the data you need. In addition to the high-resolution devices from iba (from the PADU range or ibaMAQ system, for example), you can also easily integrate measuring devices from external manufacturers into the iba system via a communication interface such as Modbus TCP in order to acquire energy data. Measurement data from controllers (e.g., SIMATIC S7) can easily be integrated using Xplorer interfaces.

Analyze Energy and Process Data Together

Events from the process, switchgear, or power quality analysis which are linked via other interfaces are incorporated into the overall data set and also available for analyses at a later date. The iba system determines performance indicators and characteristic values to enable efficient, results-oriented energy management.

You benefit because you don’t just see the energy flows and can evaluate them statistically, it’s also easy to see how things are linked with the production and event data. If required, you can use anomalies as a trigger for the event monitoring function, investigate them with a resolution at ms or even μs level, and identify and address appropriate measures.

Simple to Integrate Into Existing Systems

Energy monitoring can be added to all existing iba systems or set up as a new, stand-alone system. ibaPDA’s comprehensive connectivity comes into its own here as it enables existing devices to be integrated with ease.

Meaningfully Structure Energy Data

The signals in an energy system have very different properties and structures, but the energy sampling concept in ibaPDA enables the signals to be structured clearly. You can also save metadata, such as descriptive information and other technical data, and use it for analyses later on.

Example Visualization of Energy Data

Energy consumption and production over time

Time series chart “Power (15min EMS Resolution)” over a year with blue positive demand spikes (MainDemand_E) and orange negative generation values (MainGen_E) across the months.

Statistic distribution of energy consumers

Stacked bar chart of daily energy consumption by hour with contributions from multiple systems and a peak at midday.

Pie chart showing energy consumption distribution by area with Basement as the largest share, followed by Building B, eMobility, Kitchen, and Building A.

15-minute values from just an energy management system (left) compared with high-resolution measured values from the iba system (right)

Time series chart showing a gradual rise, a sharp jump to around 14, followed by a stepwise decline.

Time series chart showing a sharp increase up to around 70 followed by fluctuating decline with occasional spikes.

Measurement data and calculated characteristic values from the energy data are shown clearly on a dashboard using ibaDaVIS (data visualization and information system). In the example above, line charts show the energy production and consumption gradient over a freely definable period of time, e.g., a year. For this period of time, bar and pie charts visualize the statistic deviation of all the values included, which could be grouped by hours in the course of the day, for example, or by consumers and what proportion of the overall consumption they are responsible for. The zoom function provides quick access to daily or minute-based views of the trends, so you can see when the plant or energy system caused events. Whereas the 15-minute values of just an energy management system (bottom left figure) usually only show a rough gradient, the high-resolution measured values provided by the iba system (bottom right figure) clearly show peaks and dips. If high-resolution measuring devices have been connected to the iba system, you can see events accurately right down to μs level (cf. event monitoring).