The increasing electrification of industrial facilities is changing how plants are engineered, operated, and expanded. Electrical infrastructure can no longer be treated as a separate utility layer from production automation. Recognizing this shift, Hitachi Energy and Rockwell Automation have announced a collaboration focused on an integrated grid-to-process architecture that connects electrical power infrastructure with the automation and digital systems responsible for production.
From Separate Systems to a Grid-to-Process Architecture
Traditionally, electrical distribution, power quality, protection, energy management, process control, and production automation have often been designed as separate engineering disciplines. That approach can create boundaries between the systems that supply energy and the systems that consume it.
The proposed Hitachi Energy and Rockwell Automation approach moves toward a more coordinated architecture. It combines expertise in grid connection, power quality, protection and control, energy management, process automation, and digital operations.
From an engineering standpoint, the value of this concept is not simply putting more systems onto the same network. The more significant change is the possibility of making electrical conditions and production requirements part of the same planning and operational model.
Why Electrification Is Becoming a Production Issue
Industrial electrification is increasingly connected to production capacity, rather than being viewed only as an energy or sustainability project.
Higher electrical demand can affect substation capacity, distribution architecture, power quality, protection coordination, motor systems, drives, and the availability of production equipment. At the same time, changes in production processes can directly alter electrical loading and operating requirements.
This creates a two-way relationship: the electrical system affects production, while production determines how the electrical system must be designed and operated.
A grid-to-process architecture can therefore provide a common framework for considering these dependencies during engineering, commissioning, and plant operation.
Mining and Metals as the Initial Application
Mining and metals will be the initial focus of the collaboration. This sector provides a clear example of why electrical infrastructure and automation need to be considered together.
Processes such as crushing, grinding, conveying, and mineral processing consume substantial amounts of electrical power. An interruption or degradation in power quality can consequently affect equipment utilization, production continuity, and operating costs.
Mining companies are also under pressure to increase capacity while modernizing existing facilities. Electrification adds another engineering variable to projects that are already constrained by capital, infrastructure, and commissioning requirements.
The companies cite analysis estimating that growth capital expenditure for new mining capacity could reach approximately $1 trillion over the next decade.
Power Quality Is Part of Automation Performance
One important engineering consideration is power quality.
Automation engineers often focus on controller availability, network redundancy, I/O performance, instrumentation, and control logic. However, these systems ultimately depend on an electrical infrastructure that must provide appropriate voltage quality, protection, and continuity.
Large motors, variable-speed drives, converters, and other power electronic equipment can introduce electrical disturbances or create demanding load profiles. Conversely, unstable electrical conditions can propagate into automation equipment and production processes.
Integrating power quality information with automation and operational data can therefore provide a more complete view of plant performance.
Protection and Control Need Better Operational Context
Protection systems traditionally operate according to electrical parameters and predefined protection schemes. Process automation, meanwhile, responds to production conditions and equipment states.
Greater integration between these domains could allow operating teams to understand electrical events in the context of production assets. For example, an electrical disturbance can be evaluated not only as a protection event but also in terms of which production systems were affected, how equipment utilization changed, and whether production recovery is required.
This does not eliminate the need for independent protection functions. Instead, it creates an opportunity for better information exchange between protection, electrical control, process automation, and supervisory systems.
Digital Operations Create the Connection Layer
Once an industrial facility is operating, the combination of electrification, automation, and digital technologies can expose information about energy consumption, production performance, and asset utilization.
This information can support operational analysis and provide a foundation for identifying relationships between electrical loading and production behavior.
In my view, this is one of the more practical aspects of the collaboration. Digital integration is most useful when it converts previously isolated engineering data into information that operators and maintenance teams can act upon. Simply collecting more data does not improve a plant unless that data is connected to equipment states, production requirements, and operational decisions.
Planning for Future Capacity
Industrial electrical systems are rarely static. Production capacity can increase, additional drives can be installed, new process equipment can be introduced, and alternative energy resources may eventually become part of the facility.
Designing electrical and automation systems independently can make later expansion more difficult because each modification may require changes across multiple engineering domains.
A coordinated architecture can instead establish a scalable foundation for additional production capacity, increased electrification, and integration of new energy resources.
This is particularly relevant for mining projects, where infrastructure may need to accommodate significant changes over the operating life of the facility.
The Engineering Benefit: Fewer Boundaries
The strongest technical argument for the collaboration is the reduction of boundaries between electrical engineering and automation engineering.
A modern industrial facility can contain medium- and low-voltage distribution, protection and control equipment, motors and drives, PLC or DCS systems, industrial networks, instrumentation, energy management platforms, and asset monitoring applications. These systems already interact physically, even when they are engineered and managed separately.
The grid-to-process concept recognizes that physical interaction and attempts to provide a more coordinated engineering and operational framework.
For project teams, this could improve coordination during system design, commissioning, troubleshooting, and future expansion.
Beyond Mining and Metals
Although mining and metals are the initial target, the same engineering principles can apply to other energy-intensive industries.
Manufacturing plants, data centers, chemical facilities, transportation infrastructure, and other large industrial sites increasingly depend on high electrical availability and tightly controlled production processes.
As electrification expands, the distinction between "power system" and "production system" will continue to become less meaningful from an operational perspective.
What This Means for Industrial Automation
The Hitachi Energy and Rockwell Automation collaboration reflects a broader direction in industrial engineering: electrical infrastructure is becoming an increasingly visible component of production performance.
The long-term opportunity is not simply to connect power equipment to automation networks. It is to create an architecture in which electrical conditions, production requirements, asset utilization, and energy consumption can be considered together.
For industrial automation engineers, this means future plant architectures will likely require closer coordination between electrical distribution, protection, drives, PLC/DCS platforms, industrial networks, energy management, and digital operations.
The practical outcome will depend on how the companies translate the concept into specific architectures and industrial applications. The technical direction, however, is clear: as industrial processes become more electrified, power engineering and automation engineering increasingly need to be designed as parts of the same system.
