Steady State Simulation Studies
Description:
Base your decisions on high-fidelity models
The main purpose of a steady state high-fidelity simulation model is to act as a substitute for the real industrial installation. It may be too expensive or disruptive to experiment on the real processes; or perhaps the real processes do not yet exist and are still being designed. Regardless of the scenario, a simulation model can perform experiments or what-if studies that can add to your understanding of the real-world system as well as identifying and comparing alternatives that improve the system in some way, usually by reducing costs or increasing the throughput, or products quality.
Having accurate models that predict performance over a range of conditions allows hydrocarbon and chemical processing industries to explore the decision space rapidly, effectively and at relatively low cost, resulting in:
- better decisions: better process designs, better equipment designs, better product designs, better operations, more effective management of risks associated with introducing new technologies,
- faster decisions: faster and more confident scale-up, faster process development, accelerated innovation at all levels
- safer decisions: better compliance with process safety, with health & safety requirements, and with environmental limitations
With tangible associated benefits:
- lower capital and operating cost (CAPEX and OPEX)
- higher profitability through increased throughput and better and more consistent product quality
- faster time-to-market for new processes, technologies and products
- reduced technology risk
- better compliance with health, safety and environmental requirements.
