针对甲醇制丙烯(MTP)反应产物的特点,对MTP产品气分离工艺进行了研究和改进。在前脱丙烷流程的基础上,采用双塔脱丙烷工艺降低脱甲烷塔负荷,用中冷中压脱甲烷塔对乙烯进行初步回收,用中冷油吸收回收脱甲烷塔尾气中的乙烯,用分凝分馏塔与膨胀机组合回收尾气中夹带的吸收剂和少量乙烯,采用高度"热集成"的脱乙烷塔和乙烯精馏塔。以1.7Mt/a MTP装置产品气压缩机进料为基准,通过对前脱丙烷流程进行流程组合和操作参数优化,能使产品气压缩机轴功率消耗降至6 738 k W,丙烯压缩机轴功率消耗降至3 529 k W,离开分离工段的尾气中乙烯和吸收剂含量接近痕量,分离部分乙烯收率达到99.67%。
Synthesis of chemical processes is of non-convex and multi-modal. Deterministic strategies often fail to find global optimum within reasonable time scales. Stochastic methodologies generally approach global solution in probability. In recogniting the state of art status in the discipline, a new approach for global optimization of processes, based on sequential number theoretic optimization (SNTO), is proposed. In this approach, subspaces and feasible points are derived from uniformly scattered points, and iterations over passing the corner of local optimum are enhanced via parallel strategy. The efficiency of the approach proposed is verified by results obtained from various case studies.
