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Heat transfer models for reactor core and intermediate heat exchanger were also included.
Some applications of computational flow models for reactor engineering of fluidized bed reactors were then discussed.
We also develop algebraic surrogate models for reactor outlets as functions of reactor design and operating conditions.
Towards this, a one dimensional plant dynamics code DYANA-P has been developed with thermal hydraulic models for reactor core, hot and cold pools, intermediate heat exchangers, pipelines, steam generator, primary sodium circuits and secondary sodium circuits.
Even though, the numerous advantages reported in the literature, and the pros and cons of EC in comparison to alternative processes, its industrial application is not yet considered as an established wastewater technology because of the lack of systematic models for reactor scale-up.
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The results demonstrated that the current LBM framework has the ability to reveal the detailed conversion process of biomass particles under various pyrolysis conditions, which can then be used to improve engineering models for reactor-scale simulation.
Details of developing computational flow models for reactors of different types are discussed in the following chapters.
A structured dynamic model for reactor network modeling is formulated and embedded in a MINLP with robust eigenvalue constraints.
This, together with the inherent impossibility to predict changes in product distribution, results in the restricted applicability of a single first-order reaction as predictive model for reactor analysis and design.
The basic elements involved when using a computational flow model for reactor engineering or any other application, are: (1) geometry modeling and grid generation; (2) specification of system data and selection of mathematical models and boundary conditions; (3) solution of model equations; and (4) analysis and interpretation of simulation results.
Knowledge of underlying physics and its mathematical representation (Chapters 2 to 5), of numerical methods to solve such mathematical representations (Chapters 6 and 7) and of computational tools to implement these numerical methods (this chapter), equip the reader to harness the potential of computational flow modeling for reactor engineering.
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