DESIGN AND PRODUCTION PLANNING FOR MULTIPRODUCT DEHYDRATION PLANTS

Citation
Ct. Kiranoudis et al., DESIGN AND PRODUCTION PLANNING FOR MULTIPRODUCT DEHYDRATION PLANTS, Computers & chemical engineering, 19(5), 1995, pp. 581-606
Citations number
27
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Chemical","Computer Science Interdisciplinary Applications
ISSN journal
00981354
Volume
19
Issue
5
Year of publication
1995
Pages
581 - 606
Database
ISI
SICI code
0098-1354(1995)19:5<581:DAPPFM>2.0.ZU;2-H
Abstract
Drying operations constitute an important field of chemical engineerin g, which is still governed by empiricism. This paper deals with two im portant aspects related to the construction and operation of dehydrati on plants. The design problem involves the determination of process fl owsheet structure, when a nominal production level is specified for al l products processed in the plant. The production planning problem des cribes the production policy of the plant within a long-range planning horizon, under time-varying product demand and market prices of raw m aterials and saleable products. The policy adopted assigns production levels and duration of production runs for each product processed, in each one of the plant processors, at a certain time period, within the planning horizon. The objective in each approach is to optimize the t otal annual profit resulting from the construction of a new plant or t he operation of an existing one. The process was described by deducing the mathematical model of conveyor-belt dryers. For the forementioned problems, appropriate formulations were developed and studied. The mo st general model presented involves numerous integer and continuous de cision variables and a large number of space variables and constraints , resulting in cumbersome calculations and tremendous computational lo ad. For the reduction of the computational effort, a shortcut modeling of total annual plant cost was proposed and evaluated from the operat ional data of a large number of possible flowsheet structures, through a simple analytical equation. The parameters of the proposed shortcut equation were estimated by nonlinear regression over an extensive num ber of computed points; each one of them was determined by solving an NLP optimization problem. The design and production problems were form ulated as MINLP problems in which use of the shortcut cost equation re duced drastically the computational effort involved. Related problems (i.e. process modification and design under production planning criter ia) were also taken into consideration. Characteristic examples were p resented in order to demonstrate the effectiveness of each proposed ap proach.