A new methodology for the optimal design and production schedule of multipurpose batch plants

Cerdá, Jaime; Vicente, Manuel E. Sastre de; Gutierrez, J. M.; Esplugas, Santiago; Mata, Juan

doi:10.1021/ie00091a016

Cited by 23 publications

(6 citation statements)

References 8 publications

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“…Everybody should feel free to transform it to his needs as long as equivalency is guaranteed. Mathematical methods and typical results for related problems can be found in literature [21], [41], [60], [17].…”

Section: A Typical Scheduling Problem In the Chemical Industrymentioning

confidence: 99%

Planning and scheduling in the process industry

Kallrath¹

2002

OR Spectrum

308

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Since there has been tremendous progress in planning and scheduling in the process industry during the last 20 years, it might be worthwhile to give an overview of the current state-of-the-art of planning and scheduling problems in the chemical process industry. This is the purpose of the current review which has the following structure: we start with some conceptional thoughts and some comments on special features of planning and scheduling problems in the process industry. In Section 2 the focus is on planning problems while in Section 3 different types of scheduling problems are discussed. Section 4 presents some solution approaches especially those applied to a benchmark problem which has received considerable interest during the last years. Section 5 allows a short view into the future of planning and scheduling. In the appendix we describe the WestenbergerKallrath problem which has already been used extensively as a benchmark problem for planning and scheduling in the process industry.

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Section: A Typical Scheduling Problem In the Chemical Industrymentioning

confidence: 99%

Planning and scheduling in the process industry

Kallrath¹

2002

OR Spectrum

308

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“…Imai and Nishida (1984) proposed a set partitioning method to determine the configuration of the best campaign structure. Klossner and Rippin (1984) Recent workers (Janicke, 1987;Kiraly et al, 1988;Faqir and Karimi, 1989b;Cerda et al, 1989;and Papageorgaki and Reklaitis, 1989) have addressed cases with more general equipment allocation schemes for the design of multipurpose plants. They have built on the formulations and methods described above.…”

Section: Optimal Sizing With More General Operating Modesmentioning

confidence: 99%

Optimal Design and Operation of Batch Processes

Barrera

Evans

Epstein

1989

Chemical Engineering Communications

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The increased importance of high value-added specialty chemicals has stimulated interest in the development of better design and optimization methods for batch processes. These processes have a number of particular aspects (time-dependent behavior, discrete processing and structural alternatives) which make the development of optimal designs quite difficult. Five sets of decisions must be made to design a batch process. Because the entire problem is so complex, previous workers have focused on smaller, more manageable parts of the overall problem. Much of the previous work has dealt with the optimal sizing of equipment units in order to produce a set of products in a new multiproduct batch plant with minimum capital investment. Processing conditions have generally been assumed given in the form of the product recipes and not subject to change. This thesis focuses on the design and operation of batch processes and represents a first attempt to consider process performance issues and equipment sizing decisions together in an optimization framework. Complexities introduced by using existing equipment are also included. The optimization problem consists of selecting the equipment units to use at each stage in the process and choosing values for all process operating conditions and operating times in order to optimize a suitable objective function.A problem formulation for the optimal design of a new batch process is developed. This formulation incorporates the effects of the overall multipurpose plant environment on the design of a single new process by allocating fixed costs through the use of equipment usage charges. These charges represent the opportunity cost of allocating scarce plant resources to one product rather than another. A decomposition strategy is proposed for solving the optimization problem. By partitioning the decision variables into two groups, simpler subproblems are generated.The Performance Subproblem involves optimizing the continuous variables that represent the processing conditions and operation times for a process with fixed structure. Generic performance trade-offs involving processing intensity and the distribution of performance load are identified. The problem is formulated as a nonlinear programming problem (NLP) and solved using a successive quadratic programming algorithm. Results 2 are reported for a series of test problems to illustrate the basic elements of the solution approach.The Structure Subproblem involves assigning known equipment units to stage locations for a process with fixed performance in order to minimize the total equipment usage charges. The combinatorial optimization problem can be formulated as a mixed integer nonlinear programming problem (MINLP) and solved using mathematical programming methods such as the Outer Approximation, Equality Relaxation method. To circumvent potentially large solution times, an approximate solution strategy based on local search techniques is developed. This approximate method generates near-optimal solutions and requires one...

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“…However, chemical production scheduling was identified as an important research area only in the late 1970s 12–14. The early work in the area focused on sequential processes which, as we will see in “Basic insight,” have similarities with discrete manufacturing facilities 15–19. The first methods to address problems in general chemical facilities, which we will later term network facilities, were developed in the early 1990s 20–22.…”

Section: Introductionmentioning

confidence: 99%

From Eight‐Membered 10π Electron Sulfur–Nitrogen Cycles to Bicycles and Cages: A Theoretical Approach

Gleiter

Haberhauer

Woitschetzki

2014

Chemistry A European J

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A simple way of rationalizing the structures of cyclic, bicyclic, and tricyclic sulfur-nitrogen species and their congeners is presented. Starting from a planar tetrasulfur tetranitride with 12π electrons, we formally derived on paper a number of heterocyclic eight-membered 10π electron species by reacting the 3p orbitals of two opposite sulfur centers with one radical each, or by replacing these centers by other atoms with five (P) or four (Si, C) valence electrons. This led to planar aromatic 10π electron systems, nonplanar bicyclic structures with a transannular S-S bond, and tricyclic structures by bridging the planar rings with an acceptor or donor unit. The final structures depend on the number of π electrons in the bridges. Intermediate biradicals are stabilized by Jahn-Teller distortion, giving transannular S-S bonds between the NSN units. This procedure may be summarized by two rules, which provide a rationale for the structures of a large number of sulfur-nitrogen-based molecules. The long bonds between the NSN units show a p character of >95 %. The qualitative results have been compared with known molecular structures and the results of B3LYP/cc-pVTZ calculations as well as CASSCF and CASVB calculations. B3LYP/cc-pVTZ calculations have also provided the UV/Vis spectra and the NICS values of the planar 10π systems.

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A new methodology for the optimal design and production schedule of multipurpose batch plants

Cited by 23 publications

References 8 publications

Planning and scheduling in the process industry

Planning and scheduling in the process industry

Optimal Design and Operation of Batch Processes

From Eight‐Membered 10π Electron Sulfur–Nitrogen Cycles to Bicycles and Cages: A Theoretical Approach

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