Integrated Steam & Power
Understanding the interaction between electrical systems, steam networks, generation and industrial process demand.
Solvina brings together multidisciplinary engineering, dynamic simulation, testing and practical validation to understand how complex industrial systems behave and how they can be improved.
Industrial plants behave through interactions. Electrical generation affects process utilities. Process demand changes operating conditions. Controls influence disturbances. Protection determines how the system responds.
Solvina's expertise connects these disciplines when the engineering question requires a system-level view. The right combination depends on the plant, the operating challenge and the decision that needs to be made.
Our expertise brings together the disciplines needed to understand complex industrial systems — from generation and process interaction through to controls, protection, simulation and validation.
Understanding the interaction between electrical systems, steam networks, generation and industrial process demand.
Using dynamic models and simulation to understand disturbances, transitions, controls and system behaviour.
Assessing plant behaviour against grid requirements through simulation, testing and engineering validation.
Understanding how industrial power systems behave during islanding, disturbances and transitions between operating modes.
Engineering analysis and testing of control systems that determine how generating units and industrial systems respond.
Studying protection behaviour, electrical disturbances and power-quality interactions across industrial networks.
Connecting engineering models and analysis with measurements, controlled tests and real plant behaviour.
Grid code compliance, controller testing and dynamic model validation for solar PV, wind power and battery energy storage systems.
A change in process demand can alter steam conditions. Steam conditions can influence generation. Generation affects the electrical network. Controls and protection determine how the system responds.
Our expertise is therefore connected rather than isolated. The engineering question determines which disciplines need to come together.
Our methodology adapts to the engineering question. Simulation, testing and field validation are used where they provide the evidence needed to make a decision.
Define the system, operating challenge, interfaces, evidence and engineering decision.
Build, adapt or validate the engineering representation needed for the question.
Explore normal operation, disturbances, transitions and credible scenarios.
Where applicable, use measurements, controlled plant tests or system-level approaches.
Identify dominant interactions, limitations, sensitivities and likely root causes.
Develop technically grounded changes to controls, settings, operation or design.
Confirm conclusions with appropriate simulation, measurement, testing or plant evidence.
Explore reference projects and deeper case studies to see where these capabilities have been applied across real industrial systems.

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Expertise areas
Case studies
Tell us what your system needs to do, what is not behaving as expected and what engineering decision you need to make.