//Case Studies/Energy Monitoring

Challenge

Lack of transparency in energy monitoring and excessive energy consumption.

Solution

Digital monitoring reduces costs and CO₂ emissions and provides real-time data for production and management

Highlights

  • Up to 30% energy savings
  • 95% less time spent on meter reading
  • 6 weeks from kick-off to go-live

Starting Point

At CHEMPARK, a stable and efficient energy supply is essential for safe and cost-effective production operations. Customers in the chemical, pharmaceutical, automotive, and food production industries need reliable real-time data to optimize consumption, enable flexibility, and meet regulatory requirements. However, without live data, there is no basis for targeted energy efficiency and informed decision-making.

Challenged problems

  • No detailed consumption data at the facility or machine level
    It was not possible to analyze energy consumption in detail—reactive power, idle consumption, and peak loads went undetected.
  • Manual data entry was time-consuming and prone to errors
    Energy meters had to be read in the control cabinet—a process that was labor-intensive and resulted in inconsistent data quality.
  • ESG pressure and rising costs without a data foundation
    Neither production control nor management accounting had access to up-to-date consumption data—making it impossible to carry out a meaningful optimization.

Solution

Digital measurement data all the way to the machine. Greater efficiency, transparency, and CO₂ savings at CHEMPARK.

  • Retrofitting using flip-top sensor technology with smart Conneqtive energy meters
    These were installed without any system modifications—battery-free, maintenance-free, and retrofit-compatible.
  • Wireless data transmission via LoRaWAN
    The sensors transmit the measured values via radio—even from control cabinets or remote locations. Installation takes only a few minutes per sensor.
  • Dashboard
    All energy data is visualized and analyzed in real time on the central cloud dashboard and made available for reporting or alerts. The sensors provide a reliable basis for decision-making regarding energy optimization, production, and sustainability (ESG).

Outcome

  • Expected energy savings of 10–30%
  • 95% reduction in data collection effort
  • Real-time data to reduce idle time and avoid peak loads
  • Even small consumers are visible

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Used Services

IT Infrastuctures

IoT Solutions