An integrated approach to the optimization of in-plant wastewater interception with mass and property constraints

Wagialla, K.M.; El‐Halwagi, Mahmoud M.; Ponce-Ortega, José María

doi:10.1007/s10098-011-0395-8

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…Artificial fish swarm algorithm (AFSA) is an effective method to solve industrial optimization problems, e.g., wastewater management, clustered oversubscription planning and nuclear fuel cycle [32][33][34]. Thus, we propose to adopt artificial fish swarm algorithm to solve the established models.…”

Section: Solution Algorithmmentioning

confidence: 99%

Locating a Vehicle Return Center via Artificial Fish Swarm Algorithm

Li¹,

Jia²,

Li³

et al. 2016

Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

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Transportation facility or automotive service enterprise location is an interesting and important issue. To improve transportation efficient, lots of researchers have addressed traditional facility location allocation (FLA) problem, e.g., the FLA problem with the minimum transportation cost or the maximum obtained profit. This work aims to optimize obsolete vehicle location with the minimum transportation cost. However, the return center location on obsolete vehicle is influenced by regional constraints. Thus, the regional constraint should be considered as factors influencing the FLA problem. To handle this issue via a more practical method, this work proposes an economic optimal model with region constraints for an automotive service enterprise. That is, by taking the vehicle return center as a typical automotive service enterprise and an example, this work presents its new economic optimal models considering region and non-region constraints. An artificial fish swarm algorithm is proposed to solve the proposed models. Some numerical examples are given to illustrate the proposed models and testify the effectiveness of the algorithm.

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Section: Solution Algorithmmentioning

confidence: 99%

Locating a Vehicle Return Center via Artificial Fish Swarm Algorithm

Li¹,

Jia²,

Li³

et al. 2016

Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

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“…In most literatures the values of  are generally specified as 0.0001 [5] [9]. In this way, the calculating process is simplified, but it is an imprecise approximation.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…They presented an automated synthesis procedure iteratively for a range of  values in an attempt to minimize the TAC of the network and the optimal  [2]. Papalexandri and his colleagues pointed out that the main limitation of the above procedure introduced by El-Halwagi and Manousiouthakis was its sequential approach [9]. In the design process, the operating and capital costs were not considered simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Approach for the Synthesis of Mass Exchange Network

Younes¹,

Abdallah²,

Alim³

2014

IJCA

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This article addresses a fuzzy logic approach to calculate the optimum minimum allowable composition difference () to target the minimum total annualized cost (TAC) of a mass exchange network (MEN), which is based on combining composition interval diagram (CID) with fuzzy set theory.The value of  directly affect the TAC as a main constrain. By utilizing this decision algorithm it gives the opportunity to calculate the optimum composition difference by decision making from a wide range of assumed . This method is very simple and more convenient than the methods previously published; as the decision is taken without calculating TAC for every assumed .

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“…20 Wagialla 21 presented an integrated approach for optimizing the stream matching of a MEN for a metal packing process. Recently, Chaiwattanapong et al 22 incorporated controllability analysis for synthesizing MENs, whereas Wagialla et al 23 incorporated property constraints in the synthesis of MENs. A recent systematic survey of MEN synthesis can be found in the books by Foo, 24 El-Halwagi, 25 Foo et al, 26 Majozi, 20 El-Halwagi, 27 and Smith.…”

Section: Introductionmentioning

confidence: 99%

Systematic Synthesis of Mass Exchange Networks for Multicomponent Systems

Liu

El‐Halwagi

et al. 2013

Ind. Eng. Chem. Res.

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The synthesis of mass exchange networks (MENs) is an important systematic tool for screening mass-separating agents (MSAs) and satisfying the mass transfer demands while considering process, environmental, and economic requirements. Most of the MEN research has focused on single-component problems. Much less attention has been given to the multicomponent problem. Therefore, the aim of this paper is to develop a systematic method to deal with the multicomponent MEN synthesis problem. The concept of interception is introduced to account for compatible mass transfer of the multiple components in a way that can be practically realized in mass exchange units. A mixed-integer nonlinear programming (MINLP) model is established to embed potential configurations of interest. Linearization, disjunctive programming, and relaxation are used to enhance the solvability of the optimization program, which is aimed at minimizing the total annualized cost (TAC) of the MEN. Two case studies from the literature, the recovery of copper from an etching plant and the simultaneous removal of H2S and CO2 from coke-oven gas (COG), are solved to illustrate the application of the proposed method.

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An integrated approach to the optimization of in-plant wastewater interception with mass and property constraints

Cited by 10 publications

References 11 publications

Locating a Vehicle Return Center via Artificial Fish Swarm Algorithm

Locating a Vehicle Return Center via Artificial Fish Swarm Algorithm

Fuzzy Approach for the Synthesis of Mass Exchange Network

Systematic Synthesis of Mass Exchange Networks for Multicomponent Systems

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