Optimal water allocation in a petroleum refinery

Takama, Norihiro; Kuriyama, T.; Shiroko, K.; Umeda, Tomoko

doi:10.1016/0098-1354(80)85005-8

Cited by 312 publications

(240 citation statements)

References 2 publications

Supporting

Mentioning

205

Contrasting

Unclassified

Order By: Relevance

“…The seminal paper in this area was by Takama et al (1980), who solved the problem of optimal water allocation in a petroleum refinery. They generated a superstructure allowing for all water reuse and regeneration possibilities, and then mathematically optimized it.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we generalize the synthesis problem by proposing a superstructure, similar to that by Takama et al (1980), for the design of integrated water systems that combines the water using and water treating units in a single network. The superstructure, which incorporates all the feasible design alternatives for water treatment, reuse and recycle, is initially formulated as an NLP problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Karuppiah

Grossmann

2006

Computers & Chemical Engineering

382

364

View full text Add to dashboard Cite

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.

show abstract

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

382

364

View full text Add to dashboard Cite

show abstract

“…A common practice is to fix the outlet concentrations at the maximum values [210,211]. The third technique is sequential optimization, originally presented by Takama [212]. Some of the sequential optimization approach methods include: a relaxed NLP model [213], dividing and sequentially reducing concentration intervals for WUN [214], an MILP-LP technique for TWN [215], and an LP-NLP approach for the WWTN [216].…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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

“…In this context, several techniques for targeting the minimum wastewater discharge [4][5][6][7][8][9][10] and the minimum regeneration cost [11][12][13][14][15] have been proposed; these targeting techniques are very useful to identify targets before the design. In addition, in order to solve problems with multiple pollutants and to get optimal solutions with the corresponding design, some techniques for synthesizing water networks based on mathematical programming models have been reported [16][17][18][19][20][21][22][23][24][25][26]. Moreover, there have been reported several methodologies for synthesizing batch water networks based on the composition of the streams (see for example, Refs.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective approach for property-based synthesis of batch water networks

Vázquez-Castillo

Ponce-Ortega

Segovia‐Hernández

et al. 2013

Chemical Engineering and Processing: Process Intensification

View full text Add to dashboard Cite

a b s t r a c tThis work introduces a multi-objective optimization approach for the synthesis of batch water networks. In addition to concentration-based constraints, water characteristics and property-based constraints for the process sinks are considered. Since adjusting properties may require the use of hazardous chemicals, issues of process intensification to minimize the total volume of stored materials are considered along with economic objectives. The model includes logical constraints, time restrictions, mass and property constraints for the sinks and environmental requirements. Two case studies are solved to show the applicability of the proposed approach. The results show tradeoffs between the storage of hazardous materials and the network economics. The multi-objective solutions are illustrated through Pareto curves that enable the decision maker to select the solutions that strike the proper balances between the desired objectives.

show abstract

Optimal water allocation in a petroleum refinery

Cited by 312 publications

References 2 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

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

A multi-objective approach for property-based synthesis of batch water networks

Contact Info

Product

Resources

About