How can SMEs identify energy-saving potential and confidently assess investments in efficiency measures, load management, or battery storage? Brugger Magnetsysteme now relies on Mondas to do just that.
Energy Data as a Basis for Decision-Making
Brugger GmbH, based in Hardt in southwestern Germany, develops and manufactures permanent magnet systems for applications ranging from wind power to medical technology. Sustainability has been firmly embedded in the company’s strategy for many years.
Several photovoltaic systems at two production sites, with a combined capacity of 304 kWp, cover 30% of the company’s electricity demand.
To create transparency around electricity generation and consumption, Brugger uses the Mondas data platform. Energy data from production, building systems, and photovoltaic generation is centrally consolidated and analyzed. This makes it possible to identify energy-saving opportunities and assess investments or optimization measures based on actual consumption and load profiles.
One specific example is the conversion of the production and warehouse facilities to LED lighting: The measured data clearly shows that the resulting reduction in electricity consumption can be attributed to this measure.
Use More Solar Power On-Site
Another goal for Brugger is to increase the self-consumption of its own solar power – for example by investing in battery storage, shifting energy-intensive production processes to periods of high solar generation, or adapting EV charging strategies. Brugger uses Mondas to actively manage its on-site energy system.
The Mondas data platform provides the foundation for planning these measures in a targeted way.
From Monitoring to Continuous Optimization
Für Brugger ist die Energiedatenerfassung kein Selbstzweck. Sie schafft die Grundlage, um For Brugger, collecting energy data is not an end in itself. It provides the basis for:
reducing energy costs,
increasing PV self-consumption,
avoiding peak demand, and
making more targeted investment decisions.
Looking ahead, Brugger plans to integrate the collected energy data with its ERP system. Machine operating times and energy costs could then, for example, be assigned specifically to individual production equipment.
Learn more about the project in the Use Case „Brugger Magnetsysteme GmbH“ use case.