State−Time−Space Superstructure-Based MINLP Formulation for Batch Water-Allocation Network Design

Li, Lijuan; Zhou, Rui-Jie; Dong, Hongguang

doi:10.1021/ie900427b

Cited by 33 publications

(35 citation statements)

References 29 publications

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“…The development of a circular economy in which water is reused and recycled will be key to ensuring sustainability, and this will require effective management strategies at the four stages of the wastewater management cycle: pollution reduction, wastewater collection and treatment, reuse of wastewater, recovery of useful by-products [195]. Within the mathematical programming literature, various aspects of wastewater management have been considered, including pollution reduction [39,43,134,175], water treatment [33,206], and the reuse of wastewater [98,106,169,219,238]. The call for a circular economy motivates further research, particularly in the areas of wastewater reuse and by-product recovery, which are unrepresented in the literature.…”

Section: Water Qualitymentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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Section: Water Qualitymentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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“…Dong et al [223][224][225][226][227] have recently recent proposed MINLP models that incorporate the design of heat exchange networks with water networks, based on the state-space superstructure proposed by Bagajewicz et al [228,229]. Ruiz and Grossmann [79] present a simplified GDP formulation of the WWTN, as an illustration of the bound tightening technique.…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

152

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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“…Recently, this representation has been modified in a series of work for water-allocation network, heat exchange work and integrated water-allocation and heat exchange network design (Dong et al, 2008a,b;Zhou et al, 2009;Li et al, 2010). In our work, this original structure has been improved to incorporate additional design options, e.g., ESA and MSA process operators.…”

Section: Mathematical Modelmentioning

confidence: 99%

Separation network design with mass and energy separating agents

Zhou

Dong

et al. 2011

Computers & Chemical Engineering

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The mathematical model developed in this paper deals with simultaneous synthesis of the integrated separation network, where both mass separating agents (MSAs) and energy separating agents (ESAs) are taken into account. The proposed model formulation is believed to be superior to the available ones. Traditionally, the tasks of optimizing ESA-based and MSA-based processes were either performed individually or studied on a heuristic basis. In this work, both kinds of processes are incorporated into a single comprehensive flowsheet and a novel state-space superstructure with multi-stream mixings is adopted to capture all possible network configurations. By properly addressing the issue of interactions between the MSA and ESA subsystems, lower total annualized cost (TAC) can be obtained by solving the corresponding mixed-integer nonlinear programming (MINLP) model. A benchmark problem already published in the literature has been investigated to demonstrate how better conceptual designs can be generated by our proposed approach.

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State−Time−Space Superstructure-Based MINLP Formulation for Batch Water-Allocation Network Design

Cited by 33 publications

References 29 publications

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Separation network design with mass and energy separating agents

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