A Real Time Optimization (RTO) algorithm is proposed to optimize the reactors’ propane content for the Spheripol Polypropylene process. This algorithm improves the present approach of arbitrarily selecting “optimum” propane values, based on monthly/yearly average balances. The optimum propane content depends on factors such as the costs of offgas and catalysts, the propane content in the feedstock and the catalyst mileage. The steady state process model is developed and tested over plant data to prove its predictive capabilities. Results from the off-line, as well as the in-line implementation of the algorithm are presented that demonstrate its applicability. Estimates on the amount of the expected savings for a medium size Polypropylene plant are also presented.

提出了一种实时优化（RTO）算法，以优化Spheripol聚丙烯工艺的反应器丙烷含量。该算法改进了基于每月/每年的平均余额任意选择“最佳”丙烷值的当前方法。最佳丙烷含量取决于多种因素，例如废气和催化剂的成本，原料中丙烷的含量和催化剂的行驶里程。开发稳态过程模型并通过工厂数据进行测试，以证明其预测能力。给出了离线算法以及在线实现的结果，证明了其适用性。还介绍了中型聚丙烯装置的预期节省量的估计值。