Optimization.docx - 3.0 Optimization of Unit Operations...

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3.0 Optimization of Unit Operations Optimization plays a vital role in the design process and it should be taken in to consideration when performing a process stimulation. Through this optimization process a designer can research about his problem and evaluate the results outcomes to present an optimum solution for it. The main objective and aim of carrying out this optimization process are to minimize the expenditure of the project and to maximize the results of a production process in contrast to the investment criteria. In this Acrylonitrile production, Sensitivity analysis is used in the optimization process and the reason for specifically choosing this is because all the results are numerically and as well as graphically represented on how the objective function is affected by the problem variables [1]. Two sections of this production are selected for optimization. Firstly, the reboiler stripping section where the feed stream of water was selected, and the selectivity analysis was carried out. Then the separation of acrylonitrile (ACR) and acetonitrile section was optimized, here to attain a higher purity of the ACR in the final product stream (Stream 45) the unit Heater-2 is optimized. 3.1 Optimization in the Feed stream (Stream 19) to the stripper column. The unit operation chosen to be optimized would be the water feed stream to the stripper column. This reboiler stripping column is used to perform recovery of ACR using water as the feed stream (Stream19). The feed stream of water supplied to the stripper was at a temperature of 25 and a pressure of 1 atm and it was assumed that 100% pure water was supplied. The initial molar flow rate of the water stream was 1700kmol/hr. The objective function of optimization was aimed at maximizing the yield and purity if the ACR compound by varying the parameters such as temperature, pressure and the molar flowrate of the water stream. Firstly, pre-optimal analysis was carried out to determine the most influential parameter in the objective function. This helps us to identify the aspect that highly affects the results of this acrylonitrile production. The temperature, pressure and mole flow rate parameters were varied, and three graphs were generated to check the dependence of the total yield and the purity of the ACR in the final product stream (Stream 45). The results of the final product stream before optimization. Fig 3.1 Initial mass flow results Fig 3.2 Initial mass fraction results
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Through analyzing the above obtained results, it can be noticed from the fig 3.1 that the total production yield obtained was 45.8685 ktpy for 365 days, but the required production rate was 50 ktpy for 330 days as per the product specification. As aspen plus calculations are based on 365 days the conversion of yield to 330 days was required. Accordingly, the obtained yield as per hand calculation was 41.4702 ktpy. As
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