Energy Management Is Becoming a Core Part of Industrial Automation

Industrial automation has traditionally focused on production efficiency.

Factories used automation to control:

• Motors
• Pumps
• Conveyors
• Valves
• Robots
• Production equipment

Today, manufacturers are facing another challenge.

They need to control energy consumption as carefully as they control production.

Electricity costs, sustainability targets and the growing power requirements of modern industrial facilities are making energy management increasingly important.

ABB has continued expanding the integration of electrification, automation and digital technologies to help industrial customers improve energy visibility and operational efficiency.

This represents a major change in how industrial automation should be viewed.

Energy is becoming another process variable.

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Why Industrial Energy Management Matters

A factory can contain thousands of electrical loads.

These may include:

• Motors
• Compressors
• Pumps
• Fans
• Heating systems
• Refrigeration equipment
• Production machines

Some equipment operates continuously.

Other equipment operates intermittently.

Without detailed monitoring, it can be difficult to understand where energy is being consumed.

Industrial automation provides a solution.

Automation systems can collect information about:

• Voltage
• Current
• Power
• Energy consumption
• Equipment operating status

This information can then be analyzed to identify inefficiencies.

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Automation and Electrification Are Becoming More Closely Connected

Historically, electrical systems and automation systems were often managed separately.

Modern industrial facilities increasingly connect them.

A motor is no longer simply an electrical load.

Its operating information can be integrated into the automation system.

Engineers can monitor:

• Motor status
• Load
• Current
• Temperature
• Operating hours

This creates a more complete picture of machine performance.

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Variable Speed Drives Play an Important Role

Motors consume significant amounts of industrial electricity.

Variable speed drives can adjust motor speed according to actual process requirements.

For example, a pump does not always need to operate at maximum speed.

Reducing motor speed when full capacity is unnecessary can significantly improve energy efficiency.

Drives can therefore become both motion-control devices and energy-management tools.

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Energy Data Can Reveal Equipment Problems

Energy consumption can also provide information about equipment health.

A machine operating normally may consume a relatively predictable amount of energy.

If consumption suddenly increases, it may indicate:

• Mechanical resistance
• Bearing problems
• Process changes
• Equipment overload
• Inefficient operation

This creates an opportunity to combine energy monitoring with predictive maintenance.

Energy data becomes another diagnostic signal.

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Digital Energy Management Improves Visibility

Modern industrial software can collect information from multiple areas of a factory.

A centralized platform can display:

• Energy consumption
• Production output
• Equipment utilization
• Power demand

Engineers can then compare energy use with production.

For example:

Energy consumed per unit produced

can be more useful than simply looking at total energy consumption.

This allows manufacturers to measure energy efficiency more accurately.

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AI Can Optimize Industrial Energy Consumption

Artificial intelligence can provide another level of analysis.

AI systems can examine relationships between:

• Production schedules
• Equipment loads
• Energy consumption
• Environmental conditions

The system can identify patterns that may not be obvious to operators.

Potential applications include:

• Peak demand management
• Equipment scheduling
• Energy optimization
• Load balancing

AI can therefore help factories become more dynamic in their energy management.

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Data Centers Increase the Importance of Industrial Energy Automation

The rapid growth of artificial intelligence is also increasing global electricity demand.

AI data centers require:

• High-capacity power systems
• Cooling
• Monitoring
• Electrical protection
• Energy management

This creates additional demand for intelligent electrification.

Data centers increasingly resemble industrial facilities in terms of their need for reliable automated infrastructure.

This is expanding the role of companies with expertise in both electrification and automation.

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Industrial Sustainability Requires Measurement

Companies cannot improve what they cannot measure.

Sustainability programs therefore require accurate industrial data.

Automation systems can help measure:

• Electricity
• Gas
• Steam
• Water
• Production output

This creates a more complete picture of resource consumption.

Manufacturers can then identify where improvements are possible.

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Smart Electrification Supports Decarbonization

Electrification is becoming an important part of industrial decarbonization.

Industrial facilities are increasingly replacing certain fossil-fuel-based processes with electrically powered technologies.

This creates new electrical loads.

Smart automation can help manage those loads efficiently.

The combination of electrification and automation therefore becomes increasingly important.

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Industrial Cybersecurity Remains Essential

Connected energy systems also create cybersecurity requirements.

Energy management platforms may communicate with:

• PLCs
• Electrical equipment
• Building systems
• Enterprise software

These connections need to be protected.

Industrial cybersecurity must therefore cover both control systems and energy infrastructure.

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The Future Industrial Facility

The future factory will increasingly integrate:

• Automation
• Electrification
• Energy management
• Digital software
• AI

These technologies will no longer operate as completely separate systems.

Instead, they will exchange information continuously.

Production decisions can consider energy conditions.

Energy systems can respond to production requirements.

Maintenance systems can use electrical data.

This creates a much more integrated industrial environment.

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Conclusion

ABB’s continued focus on automation and electrification reflects a major change in industrial technology.

Energy is becoming a critical part of production management.

Modern automation systems can measure energy consumption, identify inefficiencies and provide data for predictive maintenance.

AI can take this capability further by analyzing complex relationships between production and energy.

For manufacturers, the future is not simply about producing more.

It is about producing more efficiently while using energy intelligently.

The combination of automation, electrification, digitalization and AI will therefore play an increasingly important role in the development of efficient and sustainable industrial facilities.