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Buraj's capability of Simulation and Modeling Software Services

Process Simulation

Process simulation is used for the design, development, analysis, and optimization of technical processes and is mainly applied to chemical plants and chemical processes, but also to power stations, and similar technical facilities. Process simulation is a model-based representation of chemical, physical, biological, and other technical processes and unit operations in software. Basic prerequisites are a thorough knowledge of chemical and physical properties of pure components and mixtures, of reactions, and of mathematical models which, in combination, allow the calculation of a process in computers.

We provide and perform process simulation using CHEMCAD software which describes processes in flow diagrams where unit operations are positioned and connected by product or educt streams. Thus we solve the mass and energy balance problem to find a stable operating point. The goal of a process simulation is to find optimal conditions for an examined process. This is essentially an optimization problem which we solve in an iterative process.

Modelling

Process simulation always use models which introduce approximations and assumptions but allow the description of a property over a wide range of temperatures and pressures which might not be covered by real data. Models also allow interpolation and extrapolation - within certain limits - and enable the search for conditions outside the range of known properties.

The development of models for a better representation of real processes is the core of the further development of the simulation software. Model development is done on the chemical engineering side but also in control engineering and for the improvement of mathematical simulation techniques. Process simulation is therefore one of the few fields where scientists from chemistry, physics, computer science, mathematics, and several engineering fields work together.

At Buraj we devote a lot of efforts to develop new and improved models for the calculation of properties. This includes for example the description ofthermo-physical properties like vapor pressures, viscosity, caloric data, etc. of pure components and mixturesproperties of different apparatuses like reactors, distillation columns, pumps, chemical reactions and kinetics, and environmental and safety-related data

Steady state and dynamic process simulation

Initially process simulation was used to simulate steady state processes. Steady-state models perform a mass and energy balance of a stationary process (a process in an equilibrium state) but any changes over time had to be ignored.

Dynamic simulation is an extension of steady-state process simulation whereby time-dependence is built into the models via derivative terms i.e. accumulation of mass and energy. The advent of dynamic simulation means that that the time-dependent description, prediction and control of real processes in real time have become possible. This includes the description of starting up and shutting down a plant, changes of conditions during a reaction, holdups, thermal changes and more.

Dynamic simulations require increased calculation time and are mathematically more complex than a steady state simulation. It can be seen as a multiply repeated steady state simulation (based on a fixed time step) with constantly changing parameters.

At Buraj, we provide enhancements to dynamic simulation that can be used in both an online and offline fashion. The online case being model predictive control, where the real-time simulation results are used to predict the changes that would occur for a control input change, and the control parameters are optimized based on the results. Our enhanced Offline process simulation can be used in the design, troubleshooting and optimization of process plant as well as the conduction of case studies to assess the impacts of process modifications.

We have also developed an extensive expertise in providing IT solutions to Oil and Natural Gas industry worldwideusing CHEMCAD expertise .

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