moneo IIoT platform
Improve manufacturing efficiency
Optimize energy consumption

Optimize energy consumption through real-time monitoring

ifm develops customized energy monitoring solutions for you - tailored to your requirements. This will not only help you drive forward the digitalization of your company, but also discover new potential for saving energy and significantly reducing costs.

Potential for energy savings

Compressed air management: Pneumatic cylinders, valve actuators, conveyor belts, etc. all require compressed air. Leaks in the supply system are costly and can cause equipment to malfunction.
Pump/motor optimization: Increased heat generation, poorer overall performance efficiency, etc. can result in higher power consumption.
Heating/cooling system optimization: Analyzing processes enables you to determine the optimal temperature to ensure product quality while avoiding excessive energy consumption.

Use cases: Optimize energy use

Use resources optimally, monitor energy consumption and identify possible energy guzzlers at an early stage.

Measure energy consumption and waste at the machine level

Lower annual energy costs

By optimizing energy consumption and reducing waste, production facilities can save an estimated 25-50% per year, with 1/3 of this achievable without significant investment.

Tracking total costs

Identify process improvements with increased transparency by calculating the total energy cost per product produced or per business unit.

Tracking energy
consumption over time

Easily visualize energy waste from compressed air leaks by tracking energy consumption at machine or zone level over time.

Potential areas for energy savings

	Compressed air management	Pump/motor optimization	Heating system optimization	Cooling system optimization
Savings*	30 – 50%	25 – 30%	25 – 30%	25 – 30%
How	Monitor flow in main supply lines for overall usage Most leaks occur in branch lines that serve multiple machines (zone) or a single machine. Monitoring a single machine isolates leaks, but can be costly. Zone monitoring should take into account the line diameters, the number of possible leak points (connections), and the number of use points (cylinders, actuators, etc.).	Wear and tear on pumps and motors results in inefficient operation and wasted energy. Monitoring parameters such as pump cavitation, motor imbalance, bearing condition, alignment, and power consumption will reveal inefficiencies that can be rectified and repaired.	Insulate tanks, piping systems, etc. to minimise heat loss. Add reliable temperature control to maintain optimal conditions. Optimize the size of tanks and pipes to efficiently heat only what is necessary.	Insulate tanks, piping systems, etc. to minimize cooling loss. Add reliable temperature control to maintain optimal conditions. Minimize glycol concentration in cooling circuits, as this reduces the cooling effect. Optimize the size of tanks and pipes to efficiently cool only what is necessary.
Technology	Compressed air flow meter in main supply lines Compressed air flow meter in zones or machine branches Visualization and notification software	Vibration sensors Temperature sensors Power sensors Oil quality sensors Visualization and notification software	Temperature sensors Flow meters Visualization and notification software	Temperature sensors Flow meters Visualization and notification software

* Survey results from the German Energy Agency

Real-time compressed air monitoring with moneo Cloud

moneo generates recommendations for action

Steps to identify and reduce compressed air leaks

Set a baseline for compressed air consumption
Install flow meters in a zone (branch to multiple machines) or at an end-use location (single machine) to establish the baseline for compressed air consumption.
Identify leaks
Measure compressed air consumption when equipment is shut down. If consumption is not at zero, there are leaks in the system. Check all connections and seals for leaks.
Document leaks and prioritize repairs
Repairing the biggest leaks results in the greatest savings. Repairing the most accessible leaks offers a quick start. Repairing the leaks that most impact machine performance improves the overall efficiency of the machine while reducing waste.
Adjust compressor control
Adjust the compressor control to meet reduced demand. Start/stop, load and relief, etc. will probably need to be adjusted.
Compare and publish results
Compare the results with the baseline and publish them.
Continuous optimization
A well-established leak detection program enables optimization of the existing system. This reduces the need for additional compressors.

Typical components for compressed air monitoring

Component

Description

SD compressed air meter

Traditional leak detection methods are all labor-intensive and unreliable

Tapping and touching
Soapy water tests on joints
Use of ultrasonic leak detector

Air flow meters are the reliable alternative to traditional, labor-intensive leak detection methods.

IO-Link master

Data acquisition via IO-Link for standard PLC controller or data transfer to OT/IT systems

Automatic device replacement to minimize on-site parameter setting
Fast and accurate measurements for maximum process control
No scaling required for IO-Link sensors

moneo edgeGateway

Cloud connection for all IO-Link masters and sensors

Recording of up to 500 process values
Remote control, alarms, and visualizations
Functions include configuration, data collection, and condition monitoring

Success stories

Find out how ifm has helped customers to optimize their energy consumption.

Initial

Optimising efficiency with moneo software: real-time monitoring for maximum savings

Biogas plant Kögelhof

Ultrasonic disintegration in a biogas plant monitored by sensors

Use cases: Optimize energy use

How to optimize your use of resources by monitoring your energy consumption

Want to use resources optimally, monitor energy consumption and identify possible error sources at an early stage? moneo identifies energy guzzlers such as leaks, thereby enabling sustainable optimization of resources and cost cutting.

Optimize energy consumption