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Simulator DCS Solutions


DCSs are being applied extensively to nuclear power plant refurbishments and new plant builds. L3Harris has been engaged in numerous simulator projects—both modernizations and new full scope simulators that require the implementation of DCSs from various vendors. There are different techniques for adding DCSs to the process simulation and for ensuring that the process simulation and the DCS interact correctly. Through our experience with power generation professionals, we have found that these techniques are not always that apparent. Some of these techniques are reviewed below.

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Incorporating DCS on Simulators

The three techniques that are commonly used for adopting DCS on simulators are stimulation, emulation and simulation. The following definitions are adapted from the IAEA publication IAEA-TECDOC-1500, Guidelines for upgrade and modernization of nuclear power plant simulators:

Stimulation Emulation Simulation
Simulator DCS Solutions Diagram
Simulator DCS Solutions Diagram
Simulator DCS Solutions Diagram
Implementation of a replica of the reference plant DCS on the simulator using actual DCS hardware and application software as installed on the reference plant. Implementation of the reference plant DCS on the simulator using the same application software installed on the reference plant but running on the lower cost simulator hardware and operating system. In the case of DCS controls, emulation is sometimes referred to as “virtual machine,” “virtual stimulation” or “virtual controllers.” Implementation of the reference plant DCS by simulating the DCS functionality using simulator vendor tools.

On the surface, these definitions appear straightforward enough. However, each of these techniques has advantages and disadvantages, and the right choice for a particular project will depend on a number of factors including the architecture of the DCS, the availability of a simulator-ready solution from the DCS vendor, the availability of upstream proprietary DCS data, the data delivery schedule, the cost, end-user preferences and whether the simulator is intended for engineering, training or both. It should also be noted that a particular project may use different techniques for different DCSs and even different techniques (a hybrid solution) for the control and HMI parts of the DCS. Advantages and disadvantages of each technique as they apply to DCS controls and HMI are reviewed on this page.

DCS Control

Stimulation and emulation have the advantage of running the same control software (as generated by the DCS configuration tools) that runs in the DCS controllers of the actual plant. This provides maximum fidelity, facilitates updating the simulator when the plant DCS software changes and is, of course, particularly useful if the simulator is being used as a validation tool for the DCS. Nevertheless, stimulation and emulation typically appear as external applications to the simulator environment and, as such, modifications are required to be compatible with the simulator environment. The proprietary nature of the software and hardware dictates that the modifications are available, if at all, only from the DCS vendor or its partners. For a simulator, the DCS application software must be adapted to support simulator functions such as freeze, run, backtrack and store/restore either by adding this functionality to the DCS software itself or by adapting the DCS software to run as an application within the simulator environment. These modifications must be extensively evaluated. In addition, a stimulated solution may also require specialized hardware and software to interface the process simulation to the control application software running on the DCS controllers. The design of this interface is dependent on the design of the DCS itself. In the case of emulation, a communications interface is also required between the process simulation environment and the emulation, unless the emulation has been adapted to run in the simulation environment.

Of the three techniques, the stimulation solution provides the highest possible fidelity, but at the highest cost due to the modifications and the cost of hardware acquisition and software licenses. In fact, the high cost of the proprietary DCS hardware means that this solution is in practice rarely chosen for the control application software on the simulator. Emulation of the control application software addresses this problem by eliminating the need to use the actual DCS controllers, though the cost of software licenses from the DCS vendor may still be substantial. This is an important consideration when the simulator consists of a suite of simulation instances such as the full scope simulator, development platforms and classroom simulators.

With simulation, the logic represented by the DCS function plans is reproduced using the modeling tool. Simulation can take place either by manually redrawing the function plans or by automatically importing (translating) the function plans. The latter is more efficient, but requires that the function plans contain all interface information and be available in a known electronic format. Simulation also requires object libraries that reproduce the functionality of the DCS functions blocks. Most DCS vendors use a combination of off-the-shelf function blocks (AND, OR, etc.) and custom function blocks. For the latter, access to a functional specification (or ideally the code itself) is required to accurately reproduce the functionality of the controls.

The fact that stimulation and emulation use the same application code as the real station has the potential of facilitating engineering simulator applications and simulator maintenance in terms of commissioning the plant DCS, validating future DCS changes and implementing plant changes on the simulator. There are nevertheless potential disadvantages related to whether the DCS vendor’s implementation of initial conditions (ICs) allows efficient updates of existing ICs and whether there is support for multiple configurations and configuration rollbacks. Another possible disadvantage if the simulator is implemented in parallel to the plant controls is the cycle time required to receive the application software and modifications that address logic errors detected on the simulator, since this is typically determined by the plant design cycle.

On the other hand, a major advantage of simulation is the built-in compatibility with the simulation environment including IC management tools and configuration management. The imported functions plans can be used to generate simulation code directly, either through a purpose-built code generator or by generating editable graphic schematics for the model building tool, provided all the topological data is available in the upstream data. The latter facilitates graphical modifications and debugging. An additional advantage for engineering simulators is that modifications to the logic can be implemented, interfaced to the process and tested directly within the simulation environment faster, before they are implemented on the DCS itself. In addition, licensing multiple copies of a simulation is usually more economical since it is fully controlled by the simulation vendor. This makes simulation the tool of choice during the basic design phase of the DCS. In fact, for new builds, early simulation followed by eventual emulation delivers the best of both worlds.


In the case of the DCS HMI, a stimulated or emulated solution also requires a communication interface and adaptation for the simulator functions. Emulation is particularly of interest when the HMI runs on expensive, safety qualified hardware. For HMIs that run on commercially available computer hardware, the choice between stimulation/emulation and simulation depends on the sophistication of the HMI itself. Simulation requires the faithful reproduction of all aspects of the look and feel of the HMI. While some parts of this process can be automated such as the reproduction of operational pages—a fair amount must be manually reproduced. While simulation is technically feasible, the increasingly sophisticated nature of the HMI graphics usually makes stimulation the solution of choice. Nevertheless, as is the case for controls, simulation is a good choice for engineering applications for the initial design and verification and validation of the HMI, due to its rapid prototyping features and modest licensing costs.

Solution Advantages/Disadvantages

Potential Advantages Possible Disadvantages
  • Highest functional and physical replication of control and HMI
  • Fast implementation of plant changes
  • Pre-testing of plant changes


  • Highest hardware and software license cost
  • Implementation and validation of simulator-specific functionality
  • Efficiency of IC maintenance
  • Delivery and modification of simulator DCS application software highly dependent on actual progress of plant DCS design process
  • Availability of multiple configuration support


Potential Advantages Possible Disadvantages
  • Highest functional and physical replication of control and HMI
  • Lower hardware cost than stimulation
  • Fast implementation of plant changes
  • Pre-testing of plant changes


  • High software license cost if provided by third parties
  • Implementation and validation of simulator-specific functionality
  • Efficiency of IC maintenance
  • Delivery and modification of simulator DCS application software highly dependent on actual progress of plant DCS design process
  • Availability of multiple configuration support


Potential Advantages Possible Disadvantages
  • High Fidelity replication subject to data availability
  • Lower hardware and software license costs
  • Automatic/inherent support for simulator-specific functionality
  • Logic can be implemented and modified quickly before implementation on DCS


  • Access to proprietary data from DCS vendor
  • More time consuming for validation of functional and physical fidelity


  • Advanced Models Data Sheet
    Advanced Models: High Performance Reactor and Thermal-Hydraulic Models Data Sheet
  • High Realism Simulation and Training Data Sheet
    High Realism Simulation and Training Data Sheet


  • Montreal ISO 9001:2015



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