Bi-level fuzzy optimization approach for water exchange in eco-industrial parks

Aviso, Kathleen B.; Tan, Raymond R.; Culaba, Alvin B.; Cruz, J.B.

doi:10.1016/j.psep.2009.11.003

Cited by 159 publications

(85 citation statements)

References 33 publications

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“…Tan et al [58] extended the optimization model developed by Aviso et al [57] to a new fuzzy bi-level decision model by modifying the role of the EIP authority to include water regeneration and redistribution via a centralized hub, and found a reasonable compromise between the EIP authority's desire to minimize fresh water usage and the participating companies' desire to minimize costs. Xu et al [59] developed a fuzzy random bi-level decision model for tackling a regional water resources allocation problem on the basis of water rights distribution in a river basin.…”

Section: Energy Management and Environment Protectionmentioning

confidence: 99%

Fuzzy Bi-level Decision-Making Techniques: A Survey

Zhang¹,

Han²,

Lu³

2016

IJCIS

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Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy. A challenge in handling bi-level decision problems is that various uncertainties naturally appear in decision-making process. Significant efforts have been devoted that fuzzy set techniques can be used to effectively deal with uncertain issues in bi-level decision-making, known as fuzzy bi-level decision-making techniques, and researchers have successfully gained experience in this area. It is thus vital that an instructive review of current trends in this area should be conducted, not only of the theoretical research but also the practical developments. This paper systematically reviews up-to-date fuzzy bi-level decisionmaking techniques, including models, approaches, algorithms and systems. It also clusters related technique developments into four main categories: basic fuzzy bi-level decision-making, fuzzy bi-level decision-making with multiple optima, fuzzy random bi-level decision-making, and the applications of bi-level decision-making techniques in different domains. By providing state-of-the-art knowledge, this survey paper will directly support researchers and practitioners in their understanding of developments in theoretical research results and applications in relation to fuzzy bi-level decision-making techniques.

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Section: Energy Management and Environment Protectionmentioning

confidence: 99%

Fuzzy Bi-level Decision-Making Techniques: A Survey

Zhang¹,

Han²,

Lu³

2016

IJCIS

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“…Scholars have attempted to integrate different aspects of performance to obtain a holistic understanding of the industrial park. For example, Aviso et al [20] constructed a bi-level fuzzy optimization model for optimizing the water exchange network of plants in an ecoindustrial park to investigate the effect of charging fees for the purchase of freshwater and treatment of wastewater. This model particularly focuses on the economic and environmental benefits of industrial parks.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of the Performance Optimization of Harbin Yingbin Industrial Park in China

Liu¹,

Wu²,

Liu³

2016

Int. j. simul. model.

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An effective performance optimization of industrial parks is urgently needed because of the importance of these parks. To develop a model to optimize the performance of industrial parks from the comprehensive perspectives of economy, society, and environment, the member assessment model was initially constructed to evaluate the comprehensive performance of enterprises. Then the assembly line balance (ALB) model and the mixed integer linear programming (MILP) method were integrated to construct a model (MILP-ALB) for evaluating the optimized comprehensive performance of an industrial park. This model was applied to Yingbin Industrial Park in Harbin, China. Simulation results indicate that the comprehensive performance of enterprises and their interactions determine the comprehensive performance of the industrial park. Results also demonstrate that the MILP-ALB model is applicable in evaluating the optimized comprehensive performance of the industrial park. Furthermore, the model can reveal the effects of the newly introduced enterprise on the optimized performance. Given these results, the model is a useful tool for performance optimization.

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“…Rubio-Castro et al (2012 introduced a global optimization approach to the design of water networks in EIPs. Chew and Foo (2009), Aviso et al (2010), and Lim and Park (2010) developed integrated techniques for the design interplant water networks. A review of water recycle/reuse methodologies is given by Klemeš (2012).…”

Section: Introductionmentioning

confidence: 99%

A Shortcut Approach to the Multi-scale Atomic Targeting and Design of C–H–O Symbiosis Networks

El‐Halwagi

2017

Process Integr Optim Sustain

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Eco-industrial parks "EIPs" are aimed at integrating natural resources among different participating plants. A particularly important category of EIPs involves hydrocarbon processes where intermediate species and environmental discharges may be exchanged and/or transformed to other chemical species so as to reduce the purchase of fresh raw materials and the disposal of wastes. The problem of synthesizing carbonhydrogen-oxygen symbiosis networks (CHOSYNs) has been recently introduced along with a mathematical programming approach for the optimal design (Noureldin and El-Halwagi 2015). In this paper, a shortcut approach is developed to solve the problem of CHOSYN synthesis. Multi-scale atomic targeting is used to establish benchmarks for the carbon, hydrogen, and oxygen atoms, for the external chemical species to be purchased and discharged, and for the chemical reactions transforming the involved compounds into value-added feedstocks, intermediates, and products. Because of the algebraic nature of the devised approach, it can be readily used by process engineers and can also be used as a starting point for the mathematical programming techniques. A case study is solved in details to illustrate the implementation of the proposed approach.

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Bi-level fuzzy optimization approach for water exchange in eco-industrial parks

Cited by 159 publications

References 33 publications

Fuzzy Bi-level Decision-Making Techniques: A Survey

Fuzzy Bi-level Decision-Making Techniques: A Survey

Simulation of the Performance Optimization of Harbin Yingbin Industrial Park in China

A Shortcut Approach to the Multi-scale Atomic Targeting and Design of C–H–O Symbiosis Networks

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