| 초록 |
A process optimization system consisting of a model parameter estimator and a process optimizer for a fluidized catalytic cracking (FCC) process under full and partial combustion modes is presented. First, mathematical modeling is carried out for the reactor, regenerator, main-fractionator, and most of auxiliary units including the feed pre-heater, catalyst cooler, air blower, wet gas compressor, stack gas expander, boilers, and valves. Then, the resulting steady-state model is utilized to develop the model parameter estimator and the process optimizer both of which adopt a successive quadratic programming algorithm to efficiently locate the optimum solutions. The parameter estimator can estimate up to 52 model parameters in order to validate the process model by reducing process-model mismatch. The process optimizer maximizes the economic objective function defined as the difference between the total value of products and the cost of feedstock and utility under 30 operating constraints. The developed optimization system is applied to several optimization cases to maximize the economic profit of the FCC process operated in the full and partial combustion modes and successfully finds the model parameters and the optimal values of the decision variables. The optimization results are extensively compared and analyzed between the combustion modes. |
