The Optimization Of The Rectisol Process

The rectisol process is very popular in acid gas purification field, which has beenwidely applied into ammonia synthesis, methanol synthesis, city gas purification andso on. The low temperature methanol used as solvent, which has good selectivity andis easy to regenerate. As the absorption process is run in quite low temperature and thedesorption is in very high temperature, the energy consumption in the rectisol processis extremely large. A lot of researchers try their best to find a way to decrease the totalenergy consumption and reduce the production costs.About the optimization of the energy consumption of the rectisol process, mostresearch is about the optimization of the heat transfer equipment and the improvementof the heat exchanger network, the optimization of parameters in rectisol process israrely reported. In order to solve the problem that the rectisol process involves manyoperating variables and the optimization of the process needs a long time, A novelmethod based on line-up competition algorithm and BP neural network is proposed inthis paper.This paper mainly includes the following contents:（1）Use the universal process simulator Aspen Plus and PSRK properties tomodel the rectisol process, the results of which is very similar to the process data inthe literature.（2）Get heat capacity flow rate from the software Aspen Energy Analyzer anduse the pinch theory to calculate the total utilities consumption.（3）Propose a new optimization method that connects the BP neural networkand line-up competition algorithm.（4）Select two typical rectisol process to prove the rationality of theoptimization method proposed in this paper.（5） Summarize the study comprehensively and put forward the prospects forthe next step.