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Energy Management as an IIoT Solution

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  • Jan 23,25
Following the dramatic rise in electricity prices, energy consumption is becoming an increasingly important variable that needs be carefully influenced. Energy management systems have long offered a solution. But only now is there an IIoT-supported application for the capture and optimisation of energy consumption, which – as in many other areas of digitalisation – promises considerable added value.
Energy Management as an IIoT Solution

For decades, energy costs were a reliable and predictable variable in production and with competitive costs of around 5 cents per kWh, they were easy enough to calculate. There are a number of reasons this calculation is no longer reliable, the war in Ukraine and the energy transition prompted by climate change are perhaps the most significant. In any event, organisations should now budget around 25 cents per kWh, which means that energy costs have a much greater impact on production costs, and energy-intensive companies in particular face major problems.

Most importantly, there is no improvement in sight. Quite the opposite in fact. CO2 pricing will cause energy costs to climb higher, and the urgent need to renew and expand electricity grids will mean that electricity costs will need to be passed on to users.

Managing energy: A task for today and tomorrow
What is scarce, expensive and essential needs to be ‘managed’, which is why energy management is the current watchword. Appropriate IT tools are available and are frequently used. These use energy meters to capture consumption (for electricity, gas, compressed air, etc.), which users can then trace to individual areas of production, systems or even production quantities. 

These systems are especially useful when they are full integrated into the organisation’s or production department’s data environment, and not operated as stand-alone devices. This way, the ‘adjustment screws’ for targeted optimisation and clear allocation of energy costs to individual products or production steps will be transparent (in the best case scenario).

EMS 4.0: Comprehensive database for optimising energy consumption
Tec.nicum, the Schmersal Group’s newly established service division, has developed a modular solution in the form of the Energy Management Solution 4.0 (EMS 4.0). It is part of a comprehensive IIoT platform whose task is to bring transparency to production and provide users with a comprehensive database for far more than just energy consumption.

Energy consumption is accurately captured and broken down into its constituent elements.

As a plug-and-play module within this solution, EMS 4.0 makes it easy to set up and assign energy meters. A dashboard visualises the consumption of all systems and their development. A range of evaluation functions allows for the generation of detailed reports on energy consumption, including to individually defined parameters. Limit values can be defined and an (alarm) message emitted if these values are exceeded.

This provides users with a solid basis for energy efficiency initiatives, allowing them to test and evaluate the efficacy of individual measures and to prepare the data for CSR reporting, something that is already compulsory for larger companies across the EU. This requirement will gradually be rolled out to smaller companies.

Figure 3:Electricity meters’ most important parameters are captured and forwarded for further processing.

EDGE gateways collect the data of all parameters that are forwarded to the platform. The data are stored

and processed on the Schmersal IIoT platform and forwarded to the EMS 4.0

Energy efficiency as a KPI factor
Where EMS 4.0 differs from other energy management systems is in its integration into the comprehensive IIoT concept developed by the Schmersal Group, which it makes available to its customers as a platform. This IIoT platform was essentially developed for the task of ‘Safety as a Service’ and for IIoT-supported service concepts (condition monitoring and predictive maintenance), but as it captures and analyses wide-ranging production) data, it is also suitable as a basis for energy management.

Task: To capture OEE
And because calculating KPIs is also part of the IIoT concept developed by tec.nicum (as are condition monitoring and predictive maintenance), energy efficiency can be related to KPI-relevant data. More specifically, as the IIoT platform captures central KPIs for production, energy-related data may be incorporated into these KPIs, something which applies to the overall equipment effectiveness (OEE) KPI, for example. It captures the productivity and effectiveness of a production system, thereby allowing systems (in the same or in different production facilities of an organisation) to be compared, as well as targeted optimisation of this KPI.

First usage example: Production of household appliances
The first user of the Schmersal’s ‘Energy Management Solution 4.0’ is making use of exactly this option. Plant management at the Indian production facility of a global manufacturer of household appliances had set itself the goal of increasing energy efficiency in production year on year, with a 2% to 5% reduction in energy consumption in relation to production volume each year – and a matching positive impact on the carbon emissions from the site (which are also accurately recorded).

The company was looking for a comprehensive, IT-supported solution to bring transparency to the current status, while also allowing KPIs such as OEE to be captured. The third requirement was for the database to document progress – in part for international ESG reporting.

The site’s managers approached the Schmersal Group’s IIoT Global Competence Centre, which also happens to be based in India, with their list of requirements. The Competence Centre was already planning the market launch of the ‘Energy Management Solution 4.0’ and was able to use the manufacturer as an initial ‘use case’.

Hardware: Failsafe edge solution
When selecting hardware components, particular care was taken to ensure that components are able to maintain communication with the web server for a defined period of time, even if there is a power failure. The data captured from machinery and drive systems and recorded by energy meters and other sensors are initially collected at edge level, i.e. in the immediate vicinity of production, and analysed in real time. 4G Modbus IoT gateways are just one of the devices used for this.

This means that users have access to almost current data at all times, which can also be used directly to control the energy supply and generation (solar systems, generators, etc.). Comprehensive reports are also generated in parallel to document the progress made in reducing energy consumption and carbon emissions.