A chance constrained approach for a gas processing plant with uncertain feed conditions

Mesfin, G.; Shuhaimi, M.

doi:10.1016/j.compchemeng.2010.03.009

Cited by 28 publications

(9 citation statements)

References 29 publications

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“…This problem-formulating technique considers constraints with uncertain parameters as probabilistic and converts them into deterministic form. It has been used in various areas of chemical processes, − refinery crude oil scheduling, gas processing plant, transit network design, etc. Its application has also been extended to energy management problems and demand response controllability …”

Section: Introductionmentioning

confidence: 99%

Stochastic Pinch Analysis To Optimize Resource Allocation Networks

Arya¹,

Shah²,

Gupta³

et al. 2018

Ind. Eng. Chem. Res.

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Pinch analysis is a physical insight-based optimization technique, applicable to conservation problems for a wide range of resources (such as energy, water, hydrogen, cooling water, etc.). Principally, it has been applied to optimize the external resource, to satisfy unmet demands in source-sink allocation problems, with deterministic flows and deterministic quality parameters (such as contamination concentration in water and hydrogen conservation problems). However, in many applications, quality and flow parameters of different sources may not be deterministic due to changes in environmental as well as operational conditions (e.g., changes in product mix and/or feed characteristics). In this paper, the applicability of pinch analysis has been extended to resource conservation networks with uncertain qualities and flows for the operation of individual sources and demands with the desired reliability. The uncertainties in source quality and source flows are incorporated through different probability distributions with known means and standard deviations. The stochastic constraints, due to uncertainties associated with flow and quality parameters of the sources, are converted to deterministic equivalents by use of chance-constrained programming. The resultant deterministic problem is approximated to a linear programming problem in order to address it through pinch analysis techniques. Applicability of the proposed methodology is demonstrated for water and hydrogen conservation networks, and the results are verified through Monte Carlo simulations.

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Section: Introductionmentioning

confidence: 99%

Stochastic Pinch Analysis To Optimize Resource Allocation Networks

Arya¹,

Shah²,

Gupta³

et al. 2018

Ind. Eng. Chem. Res.

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“…As a result, the process model becomes a deterministic approximation, which sometimes deviates from the reality (Li et al, 2008). The method ensures not only the optimality and flexibility of the plant operation but also the reliability of holding the process constraints at the specified probability or confidence level (Mesfin & Shuhaimi, 2010).This paper first discusses on the development of the probabilistic mathematical optimization model. Some constraint violation is allowed and the degree of satisfaction of a constraint is defined as the membership function of the constraint (Sahinidis, 2004).…”

Section: Introductionmentioning

confidence: 99%

Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique

Woldetensay

Mahadzir

Lee

2012

Computer Aided Chemical Engineering

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“…Problems of chance constrained programming are widely studied in the literature (Blackmore, Ono, & Williams, 2011;Branda, 2012;DePaolo & Rader Jr., 2007;Liu, Wen, & Xu, 2013;Mesfin & Shuhaimi, 2010;Nemirovski, 2012;Poojari & Varghese, 2008;Reich, 2013;Shen, Smith, & Ahmed, 2010;Wang, Guan, & Wang, 2012;Watanabe & Ellis, 1994;Zhang & Li, 2011;Zorgati & Van Ackooij, 2011). A special case of linear programs with joint probabilistic constraints has been studied in Cheng and Lisser (2012).…”

Section: Lower Bounding Scheme For (M-ccbp)mentioning

confidence: 99%

Second order conic approximation for disassembly line design with joint probabilistic constraints

Bentaha

Battaïa

Dolgui

et al. 2015

European Journal of Operational Research

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a b s t r a c tA problem of profit oriented disassembly line design and balancing with possible partial disassembly and presence of hazardous parts is studied. The objective is to design a production line providing a maximal revenue with balanced workload. Task times are assumed to be random variables with known normal probability distributions. The cycle time constraints are to be jointly satisfied with at least a predetermined probability level. An AND/OR graph is used to model the precedence relationships among tasks. Several lower and upper-bounding schemes are developed using second order cone programming and convex piecewise linear approximation. To show the relevance and applicability of the proposed approach, a set of instances from the literature are solved to optimality.

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A chance constrained approach for a gas processing plant with uncertain feed conditions

Cited by 28 publications

References 29 publications

Stochastic Pinch Analysis To Optimize Resource Allocation Networks

Stochastic Pinch Analysis To Optimize Resource Allocation Networks

Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique

Second order conic approximation for disassembly line design with joint probabilistic constraints

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