In today’s manufacturing landscape, managing the energy variable has taken a central role in defining the industrial cost of a product. It is no longer merely a matter of monitoring overhead expenses, but of integrating energy consumption as a fundamental KPI within production processes.
The project developed for Tecnomill is a concrete example of how the adoption of an advanced EMS (Energy Management System) enables a shift from an aggregate view of consumption to the analytical management of individual production assets.
From Aggregate Data to Individual Machine Behavior
Tecnomill’s requirement was clear: to move beyond the limited perspective of the main utility meter and achieve total transparency regarding energy vectors within the facility. For a complex industrial entity, understanding how and where energy is consumed is the prerequisite for any efficiency-driven action.
The technical challenge lay in the heterogeneity of the machine park. The implementation of our EMS solution enabled the interconnection and normalization of data from machinery of various types and generations, creating a unified monitoring infrastructure.
End-to-End Energy Flow Mapping
Industrial-Cloud’s approach was based on “End-to-End” energy mapping. The software does not merely record data; it reconstructs the entire electrical distribution chain:
Inlet (Main Feeder): Real-time acquisition of kWh entering the facility for immediate cross-referencing with utility provider data.
Distribution (Department Panels): Consumption segmentation by functional areas, allowing for the isolation of auxiliary service costs from purely productive ones.
Utilization (Machine Level): Precise measurement of individual machine consumption during different cycle phases (processing, tool change, standby).
This architecture enables Tecnomill’s management to accurately allocate energy costs to specific cost centers and, consequently, to individual production orders.
The Strategic Value of the Automated Baseline
The core technological differentiator implemented at Tecnomill is the automated Energy Baseline calculation functionality. By utilizing historical analysis algorithms, the EMS software processes the correlation between energy consumption and production variables (e.g., output volume, machine hours, process type). The system independently generates the reference curve (Baseline), representing the “ideal” or “expected” consumption of the plant under specific operating conditions.
This tool provides management with immediate operational advantages:
Anomaly Detection (Drift Analysis): The system identifies real-time deviations between actual consumption and the Baseline. Excessive consumption, relative to production levels, serves as an immediate maintenance alert (indicating potential friction, component wear, or incipient failure).
Validation of Interventions: Every efficiency-driven action can be objectively measured by comparing performance before and after the intervention against the historical Baseline.
Results and Outlook
The implementation of the EMS at Tecnomill has converted raw data into high-value information. The company now utilizes:
Accurate and automated industrial energy accounting.
Real-time performance indicators.
The ability to identify hidden waste (e.g., early startups or delayed shutdowns).
Energy digitalization is not a theoretical exercise; it is a competitive lever to optimize operating margins.
