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Economic Analysis of Model Predictive Control on Dimethyl Ether Purification Process

机译：二甲醚纯化过程模型预测控制的经济分析

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摘要

The dimethyl ether product (DME) can be used as an alternative energy that is more environmentally friendly and sustainable. At the DME purification plant, the mixture of DME, methanol and air in the feed will be separated to obtain a pure DME of 99% concentration. Model predictive control is used to control the processes in the DME purification plant using first order plus dead-time models (FOPDT). This study examines the use of MPC technically by comparing it with the control performance of the proportional-integral (PI) controller and analyzed economically. The result, the eight single MPCs (SMPCs) performances are better than the PI controllers in overcoming the disturbance with the decrease of the integral of absolute error (IAE) by 40 % to 96%. Thus, there is a saving of utility (water) used is 0,015%. Since the utility is water, the economic value is low. This led to a considerable payback period (PBP) of 14.5 years, and net present value (NPV) of USD -846 in the feed flowrate disturbance scenario of 5%, so that the use of SMPC in the DME purification plant is economically unfeasible. However, the use of two multivariable MPCs (MMPCs) instead of the eight SMPCs will decrease the PBP and will increase the NPV, therefore, the use of MMPC can be considered for further research.
机译：二甲醚产品（DME）可用作更环保和可持续的替代能量。在DME纯化厂，将分离DME，甲醇和进料中的空气的混合物，得到99％浓度的纯DME。模型预测控制用于使用第一阶加上死区模型（FOPDT）控制DME净化工厂中的过程。本研究通过将其与比例 - 积分（PI）控制器的控制性能进行比较并经济分析，研究了技术上使用MPC的使用。结果，八个单MPC（SMPC）性能优于PI控制器，克服干扰随着绝对误差（IAE）的积分减少40％至96％。因此，使用的储蓄（水）使用为0.015％。由于效用是水，因此经济价值低。这导致了14.5岁的相当应投资期（PBP）为14.5岁，净值（NPV）为5％的饲料流量扰动场景中的净目前（NPV），使SMPC在DME净化厂的使用是经济上不可行的。然而，使用两个多变量MPC（MMPC）而不是八个SMPC将降低PBP，并且将增加NPV，因此，可以考虑使用MMPC进行进一步研究。

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