Energy is one of the largest cost items in production; however, in many plants, energy consumption has no visibility beyond a total meter reading. Industrial IoT-based energy monitoring makes consumption visible at machine and process level, opening the door to savings.
Measure First
"You cannot manage what you do not measure" is the core principle of energy management. With meters and sensors placed at the right points, energy consumption can be calculated per line, machine, shift, and product. This data is the prerequisite for identifying savings opportunities.
Energy Monitoring Architecture
- Measurement: Energy analyzers and meters collect voltage, current, power, and consumption data.
- Communication: Data is transferred to a central gateway via Modbus, MQTT, or OPC UA.
- Collection: Data is stored as time series at the edge or in the cloud.
- Analysis: Consumption profiles, anomaly detection, and benchmarking analyses are performed.
- Action: Peak demand reduction, shift planning, and equipment optimization are applied.
Main Savings Areas
- Peak demand management: Reduce capacity charges on electricity bills by balancing consumption during high-tariff periods.
- Standby consumption: Identify equipment running outside production hours and create shutdown plans.
- Compressed air leaks: Compressed air systems account for a significant share of energy use; leaks can be detected with data.
- Equipment efficiency: See the energy difference between machines doing the same job and standardize the most efficient operating conditions.
- Product-level costing: Calculate energy consumption per unit of product to base pricing and process decisions on data.
ISO 50001 and Data
ISO 50001, the energy management system standard, targets continuous improvement of energy performance. The standard's concepts of energy performance indicators (EnPIs) and energy baseline require a proper measurement infrastructure. IoT-based monitoring is the most practical way to meet this standard's data requirements.
Implementation Steps
- Prioritize processes and equipment with high energy consumption.
- Place measurement devices at critical points; integrate data communication with the existing network.
- Publish the data on a dashboard that the operations team will see.
- Complete the first improvement loop: detect, act, measure, verify.
- Validate gains and report the return on investment.
Most energy efficiency projects do not require new technology; making the existing system visible and taking the right actions is enough.
Conclusion
IoT-based energy monitoring is a digital transformation initiative that can start with low investment, delivers fast returns, and supports sustainability goals. The shorter the path from measurement to action, the faster the savings materialize.
