Operation of pipeless batch plants - I. MILP schedules

被引:20
|
作者
Gonzalez, R [1 ]
Realff, MJ [1 ]
机构
[1] Georgia Inst Technol, Sch Chem Engn, Atlanta, GA 30332 USA
关键词
pipeless batch plants; discrete event simulation; MILP;
D O I
10.1016/S0098-1354(98)00005-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Pipeless batch plants are an emerging technology for multipurpose chemical batch production. Optimization formulations for the design, layout and scheduling of pipeless batch plants have been developed. These mixed integer linear programming (MILP) formulations make certain assumptions about the operation of this new type of batch plant. For example, the detailed movement of vessels is left up to a control algorithm, and the travel times are assumed to be long enough to allow conflicts to be resolved. In this paper we examine the implementation of plant schedules generated by the MILP. A discrete event simulator (DES) has been coupled to the output of the MILP to simulate plant operation while allowing for variations in its operation such as vessel travel times and task durations. First, the paper describes how the MILP schedule is implemented in the DES, given that DES are event driven rather than time driven. Second, the performance of two different plant layouts, with the same equipment, is compared. The DES is able to differentiate the performance of these layouts whereas the differences were invisible to the MILP due to the assumptions involved in the formulation. Third, small pertubations to processing and travel times are introduced in the plant. The overall plant performance does not degrade significantly indicating that the tightly coupled MILP schedules are not hypersensitive to the variations. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:841 / 855
页数:15
相关论文
共 50 条
  • [21] PIPELESS BATCH CHEMICAL-PLANTS OFFER A NEW APPROACH
    SHIMATANI, T
    OKUDA, O
    CHEMICAL ENGINEERING, 1992, 99 (10) : 181 - 182
  • [22] Constraint Handling in the Evolutionary Optimization of Pipeless Chemical Batch Plants
    Piana, Sabine
    Engell, Sebastian
    2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, 2009, : 2547 - 2553
  • [23] Scheduling of pipeless batch plants using constraint satisfaction techniques
    Huang, W
    Chung, PWH
    COMPUTERS & CHEMICAL ENGINEERING, 2000, 24 (2-7) : 377 - 383
  • [24] Development of a rescheduling system for the optimal operation of pipeless plants
    Ko, D
    Na, S
    Moon, I
    Oh, M
    COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 : S523 - S526
  • [25] Discrete event simulation in the design, layout and scheduling of pipeless batch plants
    Mushtaq, F
    Chung, PWH
    HAZARDS XV: THE PROCESS, ITS SAFETY AND THE ENVIRONMENT - GETTING IT RIGHT, 2000, (147): : 265 - 276
  • [26] A systematic Hazop procedure for batch processes, and its application to pipeless plants
    Mushtaq, F
    Chung, PWH
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2000, 13 (01) : 41 - 48
  • [27] Continuous time formulation of short-term scheduling for pipeless batch plants
    Lee, KH
    Chung, S
    Lee, HK
    Lee, IB
    JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2001, 34 (10) : 1267 - 1278
  • [28] A RECIPE-DRIVEN AUTONOMOUS DISTRIBUTED OPERATION AND MANAGEMENT-SYSTEM FOR PIPELESS BATCH PLANTS AND ITS OPTIMIZATION BY LOCAL JUDGMENT
    TOMITA, M
    ISHIDA, M
    KAGAKU KOGAKU RONBUNSHU, 1993, 19 (03) : 389 - 397
  • [29] A MILP Scheduling Model for Multi-stage Batch Plants
    Kopanos, Georgios M.
    Puigjaner, Luis
    19TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2009, 26 : 369 - 374
  • [30] Modified MILP model for scheduling of sequential multipurpose batch plants
    Pan, Ming
    Qian, Yu
    Li, Xiuxi
    Huagong Xuebao/Journal of Chemical Industry and Engineering (China), 2006, 57 (04): : 861 - 866