Andrey Romanenko

  • Model predictive control and optimization solution development and deployment

We cover all the phases of a project: model development, control system architecture development, interfacing to regulatory controls, tuning, commissioning and testing. Before an actual project begins, we will conduct an economic assessment study followed by performance and benefits monitoring once the MPC system is in operation.

  • Process modeling and system identification

Mathematical models are the center piece of all model predictive control techniques. Their quality determines the overall control performance. Our staff, with a background in chemical engineering, is capable of process modeling using first-principle approaches as well as a combination of these with artificial intelligence tools.

  • Process and control loop performance audits and troubleshooting

Using our Plantstreamer® Portal system, we are able to carry out process performance assessment and process troubleshooting projects, pinpointing the root cause of suboptimal performance and finding unrealized economic benefits.

  • Applied research and development

Ciengis is a reliable partner with a vast experience in the area of process systems engineering and industrial grade software development.