Design of distributed effluent treatment systems

Wang, Yaping; Smith, Robin

doi:10.1016/0009-2509(94)e0126-b

Cited by 200 publications

(201 citation statements)

References 6 publications

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“…Feng and Seider (2001) have proposed a novel network structure with internal water mains to deal with the issue of reducing of water consumption and wastewater generation as well as to simplify the piping network in large plants. Kuo and Smith (1997) and by Wang and Smith (1994b) to set targets for the minimum flowrate in a distributed effluent system and to design such systems. Galan and Grossmann (1998) suggested an effective heuristic mathematical programming procedure for the optimal design of a distributed wastewater treatment network, where they optimize the superstructures given by Wang and Smith (1994b).…”

Section: Introductionmentioning

confidence: 99%

“…Kuo and Smith (1997) and by Wang and Smith (1994b) to set targets for the minimum flowrate in a distributed effluent system and to design such systems. Galan and Grossmann (1998) suggested an effective heuristic mathematical programming procedure for the optimal design of a distributed wastewater treatment network, where they optimize the superstructures given by Wang and Smith (1994b). The superstructure optimization problem was further extended by Lee and Grossmann (2003), who formulated the decentralized wastewater treatment network as a non-convex Generalized Disjunctive Program (GDP) and solved the problem to global optimality.…”

Section: Introductionmentioning

confidence: 99%

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Global optimization for the synthesis of integrated water systems in chemical processes

Karuppiah

Grossmann

2006

Computers & Chemical Engineering

396

364

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In this paper, we address the problem of optimal synthesis of an integrated water system, where water using processes and water treatment operations are combined into a single network such that the total cost of obtaining freshwater for use in the water using operations, and treating wastewater is minimized. A superstructure, which incorporates all feasible design alternatives for water treatment, reuse and recycle, is proposed. We formulate this structure as a non-convex Non-Linear Programming (NLP) problem, which is solved to global optimality. The problem takes the form of a non-convex Generalized Disjunctive Program (GDP) if there is a flexibility of choosing different treatment technologies for the removal of the various contaminants in the wastewater streams. A new deterministic spatial branch and contract algorithm is proposed for optimizing such systems, in which piecewise under-and over-estimators are used to approximate the non-convex terms in the original model to obtain a convex relaxation whose solution gives a lower bound on the global optimum. These lower bounds are made to converge to the solution within a branch and bound procedure. Several examples are presented to illustrate the optimization of these integrated networks using the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Global optimization for the synthesis of integrated water systems in chemical processes

Karuppiah

Grossmann

2006

Computers & Chemical Engineering

396

364

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“…Distributed effluent treatment design provides the opportunity to improve water treatment networks by evaluating alternative configurations of the network by rearranging the wastewater streams without changing the treatment technologies under consideration (Wang and Smith 1994). This method evaluates a set of wastewater streams that could be treated for a number of contaminants in several treatment units with the possibility of partial or total bypass for each unit, in order to reach the environmental limit (or any other performance goals) for all the contaminants.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy, Water, Cost, and Greenhouse Gas Implications of Steam-Assisted Gravity Drainage Surface Facility Technologies

Forshomi

Carreon

Alva-Argáez

et al. 2017

Process Integr Optim Sustain

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This analysis explores the implications of technology options for steam-assisted gravity drainage (SAGD) surface facilities on cost, energy, greenhouse gas (GHG) emissions, and water consumption. Water integration in the form of distributed effluent treatment system design as well as heat integration considerations are the basis of this study. Cost savings are accomplished by sequentially employing water network optimization and energy integration techniques. Total annual cost savings of 2.7 to 7.8% are achieved at the surface facility through water integration. Additional operating cost savings of 9.2-10.2% are found due to heat integration. Of the technology options considered in this study, hot lime softening (HLS) with blowdown evaporation and hot lime softening with blowdown recycle are the most promising when considering the tradeoffs between energy, greenhouse gas emissions, and water consumption. However, these options are quite different (i.e., blowdown evaporation has lower water consumption but higher greenhouse gas emissions than blowdown recycle, whereas blowdown recycle has lower greenhouse gas emissions but higher water consumption than blowdown evaporation). Deciding between these options requires placing a value on these environmental externalities. The approach described in this work can be applied to inform decisions in the face of tradeoffs between a range of performance metrics. In addition, the analysis framework described in this paper can be adapted to consider new technology pathways as they become available.

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“…The second type is the wastewater treatment network (WWTN). These two networks are subsystems of the third type of network: the total water network (TWN) [197,198]. Finally, the fourth type is the complete water network (CWN), which is a TWN with pretreatment units [199].…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

155

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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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Design of distributed effluent treatment systems

Cited by 200 publications

References 6 publications

Global optimization for the synthesis of integrated water systems in chemical processes

Global optimization for the synthesis of integrated water systems in chemical processes

Energy, Water, Cost, and Greenhouse Gas Implications of Steam-Assisted Gravity Drainage Surface Facility Technologies

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

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