摘要: |
Gas-solid flows occur frequently in many industrial processes and systems, such as in pulverized coal transport pipelines and portions of fluid catalytic cracking (FCC) risers. Many of these systems have been modeled and optimized over the years by ''engineering know-how,'' which has been derived from the operating experience with the unit. However, it is being recognized that a more detailed, analytic tool is necessary to improve the efficiency of these systems due to heightened industrial competitiveness. In addition to this competition, increasingly stringent environmental regulations force the industry to improve their systems to comply with these regulations. In part, these two conditions explain the recent interest in computational fluid dynamics (CFD) applied to industrial systems. A successfully validated CFD simulation can provide detailed information on an industrial flow system based on a limited amount of experimental data. Once a CFD code has been properly validated, it may then be used to suggest optimal operating conditions. Given the wide range of information provided by a CFD code, the term ''optimal'' may refer to optimal material output, optimal energy efficiency, minimal (optimal) pollutant emission, or optimal lowest operating cost, for example. This versatility has been recently recognized by a number of industries (for example, refinery, chemical, aluminum, and glass), all of which have identified CFD as a critical field for advancement of their technology. The ultimate goal of applying CFD to the modeling of an industrial system is to produce meaningful data that may be used by the company to improve plant performance. The amount of useable data partially depends on how the system is numerically modeled. Any physical system may be modeled by a Eulerian or Lagrangian approach (or a mixture of the two for multi-phase systems). Most of the recent work in modeling gas-solid flows is based on a Lagrangian model for the solid phase. While this approach models the physics of the system on a microscopic level very well, it is often difficult to extract engineering system information from a Lagrangian formulation. This thought has been re-confirmed in a recent paper. Therefore, a Eulerian approach was used in this code to model all phases of the system. After validation of the code, it was seen that the Eulerian approach provided information needed to improve a coal transfer system. |