Design optimization of stochastic flexibility

Straub, D.A.; Grossmann, Ignacio E.

doi:10.1016/0098-1354(93)80025-i

Cited by 142 publications

(69 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We applied this method to a chemical complex, where the results showed that independent -measures of flexibility and reliability can be somewhat misleading when interactions are not accounted for between the two. We also applied our methods to characterize the flexibility of multiproduct batch plants that exhibit uncertainties in the product demands and equipment failure (Straub and Grossmann, 1992b). We exploited the structure of the problem by showing that for the case of normal distributions for the demands, the multiple integral for the stochastic flexibility can be reduced to a one-dimensional integral.…”

Section: Design Optimization Of Stochastic Flexibilitymentioning

confidence: 99%

“…In addition, we developed models and solution methods to evaluate and optimize the stochastic flexibility in systems described by nonlinear models (Straub and Grossmann, 1992b). We showed that the placement of quadrature points inside the feasible region can be posed as a nonlinear programming problem which can then be readily extended to the maximization of stochastic flexibility subject to a cost constraint.…”

Section: Design Optimization Of Stochastic Flexibilitymentioning

confidence: 99%

See 1 more Smart Citation

Systematic Process Synthesis and Design Methods for Cost Effective Waste Minimization. Final report

Biegler¹,

Grossmann²,

Westerberg³

1998

Self Cite

213

295

View full text Add to dashboard Cite

Section: Design Optimization Of Stochastic Flexibilitymentioning

confidence: 99%

Section: Design Optimization Of Stochastic Flexibilitymentioning

confidence: 99%

Systematic Process Synthesis and Design Methods for Cost Effective Waste Minimization. Final report

Biegler¹,

Grossmann²,

Westerberg³

1998

Self Cite

213

295

View full text Add to dashboard Cite

“…Recently, the problem has been initiated as part of what is called 'design with uncertainties'. Straub and Grossmann (1993) and Pis-…”

Section: Uncertainty and Flexibility Of Contaminant Loadsmentioning

confidence: 99%

A review of recent design procedures for water networks in refineries and process plants

Bagajewicz

2000

Computers & Chemical Engineering

361

221

View full text Add to dashboard Cite

This paper presents a review of the procedures to design and retrofit water networks. Although the emphasis is in showing results for refineries, the methods are valid for any process plants. It is first shown that the problem has been decomposed into the design of two interacting subsystems. One problem is the freshwater and wastewater reuse allocation and the other is the wastewater treatment problem. It is also shown how the wastewater treatment problem was modeled as a distributed and decentralized treatment. The roadmap towards zero liquid discharge and energy integrated solutions is then discussed. Several solution approaches are briefly outlined emphasizing the main trend leaning towards the use of mathematical programming. The major claim made is that mathematical programming can produce globally optimal solutions and practically important sub-optimal solutions when conceptual insights are employed to build the models. Although the paper intends to be comprehensive, it emphasizes the author's recent work. Finally, a few of the existing challenges of the area are outlined.

show abstract

“…Straub and Grossmann (1993) proposed a nonlinear programming (NLP) model for maximizing the feasible operating region of a network with uncertain process parameters and used Generalized Benders Decomposition (GBD) (Geoffrion, 1972) to solve this problem. A similar approach was proposed by Pistikopoulos (1995) and applied by Ierapetritou et al (1996) and Acevedo and Pistikopoulos (1998) as a general algorithmic technique for solving a class of problems defined as process design and operations under uncertainty.…”

Section: Introductionmentioning

confidence: 99%

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

Terrazas-Moreno¹,

Grossmann²,

Wassick³

et al. 2012

Computers & Chemical Engineering

View full text Add to dashboard Cite

Integrated sites are tightly interconnected networks of large-scale chemical processes.Given the large-scale network structure of these sites, disruptions in any of its nodes, or individual chemical processes, can propagate and disrupt the operation of the whole network. Random process failures that reduce or shut down production capacity are among the most common disruptions. The impact of such disruptive events can be mitigated by adding parallel units and/or intermediate storage. In this paper, we address the design of large-scale, integrated sites considering random process failures. In a previous work (Terrazas-Moreno et al., 2010), we proposed a novel mixed integer linear programming (MILP) model to maximize the average production capacity of an integrated site while minimizing the required capital investment. The present work deals with the solution of large-scale problem instances for which a strategy is proposed that consists of two elements. On one hand, we use Benders decomposition to overcome the combinatorial complexity of the MILP model. On the other hand, we exploit discrete-rate simulation tools to obtain a relevant reduced sample of failure scenarios or states. We first illustrate this strategy in a small example. Next, we address an industrial case study where we use a detailed simulation model to assess the quality of the design obtained from the MILP model.

show abstract

Design optimization of stochastic flexibility

Cited by 142 publications

References 10 publications

Systematic Process Synthesis and Design Methods for Cost Effective Waste Minimization. Final report

Systematic Process Synthesis and Design Methods for Cost Effective Waste Minimization. Final report

A review of recent design procedures for water networks in refineries and process plants

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

Contact Info

Product

Resources

About