Simultaneous optimization of batch process schedules and water-allocation network

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

doi:10.1016/j.compchemeng.2008.11.008

Cited by 41 publications

(46 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many subsequent investigations have also been performed, using both the insight-based and mathematical approaches. Early studies focused on obtaining optimal water allocation networks for fixed schedules. − More recently, studies in the field have explored the treatment of time as a variable, using sequential and simultaneous approaches to obtain the optimal schedule and water network. − Storage optimization, , multicontaminant systems, − the incorporation and design of regenerators, − and the combination of graphical and mathematical optimization techniques , have also been investigated.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of an Optimal Schedule and Water Network for a Multipurpose Multiproduct Textile Industry through a Sequential MILP-NLP Technique

Croft

Alam

Machakaire

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Textile factories are usually batch plants. Their high freshwater consumption and large emissions of toxic wastewater present a threat to water availability and public health. Wastewater minimization can be used to reduce this impact. This paper presents a framework for combining the unit-specific continuous-time approach and the global continuous-time approach in batch water minimization. The unit-specific approach is used to obtain an optimal schedule, which is mapped onto a global time grid using a bridging algorithm before performing water minimization. The objectives are to minimize the process makespan and freshwater consumption, respectively. This research is applicable to large batch problems which are intractable using conventional techniques. An industrial case study from a textile factory in India is used to demonstrate the applicability of the formulation, followed by a sensitivity analysis to determine the number of storage tanks required to facilitate wastewater reuse. Results indicate freshwater savings of up to 94%.

show abstract

Section: Introductionmentioning

confidence: 99%

Synthesis of an Optimal Schedule and Water Network for a Multipurpose Multiproduct Textile Industry through a Sequential MILP-NLP Technique

Croft

Alam

Machakaire

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

Simultaneous optimization of batch process schedules and water-allocation network

Cited by 41 publications

References 19 publications

Synthesis of an Optimal Schedule and Water Network for a Multipurpose Multiproduct Textile Industry through a Sequential MILP-NLP Technique

Synthesis of an Optimal Schedule and Water Network for a Multipurpose Multiproduct Textile Industry through a Sequential MILP-NLP Technique

Separation network design with mass and energy separating agents

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Contact Info

Product

Resources

About