Industrial Energy Efficiency

Energy monitoring and management

Green Factory – Energy-Efficient Production

The topic of industrial energy-efficiency is taking on an increasingly important role in the industrial environment. The "Green Factory" is not only important from an environmental standpoint, but ultimately increases profitability in production. The need to train apprentices and specialists in energy-efficient production is high. Our modular and practical learning systems prepare workers in the field of energy efficiency.

Green Factory: Learning systems for energy-efficient, transparent, and flexible production

Our modular Green Factory system offers add-ons to other learning systems, such as the cyber-physical systems, and can also be used as stand-alone learning systems for studying the topic of energy. The add-ons include hardware or software components, and cover the topics of energy monitoring, industrial energy-efficiency, and energy generation.

Benefits of the modular Green Factory learning systems

Complete and transparent energy flow

The energy monitoring and energy efficiency systems offer full and transparent access to the energy flows in plants and plant networks – from generators and storage to efficient consumers.

Expansion of the cyber-physical systems

The energy monitoring and energy efficiency systems are ideal extensions for CP Lab and CP Factory and can be combined to form a comprehensive energy lab.

Modular

Take advantage of the learning systems' modularity – from workstations at individual cells to complex energy networks.

Investment protection

As with all of our learning systems, it will also be possible to seamlessly integrate future learning modules.

Short description of the Green Factory

Energy Monitoring

Energy Monitoring
Energy Measurement System

Our energy measurement systems enable a systematic analysis of energy flows. Hardware components and software conveniently display the energy flows using sensors and web visualizations and enable easy export.

The energy measurement systems can be combined with all learning systems where an energy analysis makes sense.

Discover our learning systems for energy monitoring:

To the Energy measurement system

Energy monitoring tools in use: system example using the CP Lab

Industrial Energy Efficiency

Industrial Energy Efficiency

The systematic recording of energy consumption up to the process level is an important part of our learning systems in the area of energy efficiency. Using the example of typical industrial consumers, you define, execute, and evaluate energy-efficiency measures. The systems consists of industrial power analyzers, compressed air sensors, and an evaluator/controller with an open OPC UA interface. The learning systems for industrial energy efficiency are intended as an add-on for our cyber-physical learning systems.

Discover our learning systems for industrial energy efficiency:

"Green Factory – Energy efficiency" software package

“Green Factory – Energy Efficiency” software package is an add-on for the cyber-physical learning systems that provides ways to actively influence energy consumption. Using the software package, the power consumption of plant sections can be varied in order to operate the plant flexibly in terms of energy. It also provides functions for increasing the industrial energy-efficiency of plant sections. A preconfigured dashboard is used for operation and visualization.

Energy recovery for box warehouse

This set adds hardware and software for analyzing and optimizing energy efficiency to the automatic warehouse of the CP Factory. This enables students to investigate the question: "How can mechanical energy be recovered and re-used?"

The set consists of a power analyzer, an energy storage system, analysis software, and instructions on how to carry out the energy analysis and optimization.

Robot efficiency

How can movements of articulated-arm robots be optimized in terms of energy and time? This is the topic investigated by students with the “Robot efficiency” add-on set for our cyber-physical learning systems.

Students research and optimize systematically relevant energy-consumption factors, such as speed, acceleration, distance, and moving load.

The set consists of an energy meter, touch panel software for customizing the robot parameters, and instructions on how to carry out energy analyses and consumption optimization.

Power Supply

Learning systems energy cube

The learning systems from the “Power supply” series constitute a complete power supply network. They can be operated individually or in a network, and can, for example, autonomously supply cyber-physical learning systems with energy. They deal with the topics of power, heat and compressed air generation, energy storage, and intelligent energy consumption.

In addition to topic-specific content, there is also a focus on universal technologies, such as combined heat and power generation, the use of converters, output forecasts, and safety factors.

Discover our learning systems for power supply:

Efficiency Compressor

The Efficiency Compressor is a learning system about modern, energy-efficient compressed air generation, and supplies compressed air at a rate of up to 65 Nl/min at overpressure of up to 7 bar. What is special about the compressor is that generated heat is extracted using a water circuit via the integrated heat exchanger during compression and made available for downstream processes.

The Efficiency Compressor can also be coupled with the Heat Reservoir for this.

Heat Reservoir

The Heat Reservoir enables heat to be generated, stored, and transferred, and has additional connection points for adding heat consumers or other heat sources.

It also has an additional air reservoir. Together with the Efficiency Compressor, you can integrate the topic of energy generation into our cyber-physical systems.

Fuel Cell

The fuel cell demonstrates the industrial generation of power and heat using a hydrogen-based fuel cell. Acting as a small "power station," it converts hydrogen and oxygen from the air into water and energy, which are then used for downstream thermal processes.

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