Computers and Chemical Engineering 44 (2012) 11–19
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Computers and Chemical Engineering
jo u rn al hom epa ge : www.elsevier.com/locate/compchemeng
Synthesis of mass integration networks: Integrated approach to optimization of
stream matching for a metal pickling process
Kamil M. Wagialla
∗
Chemical Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
a r t i c l e i n f o
Article history:
Received 20 December 2011
Received in revised form 20 April 2012
Accepted 25 April 2012
Available online 8 May 2012
Keywords:
MILP
MINLP
Mass and property integration
Pinch point
Stream matching
Techno-economic feasibility
a b s t r a c t
The purpose of this techno-economic feasibility study is to develop a procedure for the cost-effective
synthesis and optimization of schemes to recover in-plant a valuable ingredient from waste streams and
at the same time reduce the COD property. MILP and MINLP algorithms are used. The model minimizes the
total annualized cost of the mass exchange network (MEN). The procedure involves a two-stage process:
first, using the MILP, the pinch point location is identified along with the selection of an optimal set of
mass separating agents (MSAs). At this stage the effect of each selected MSA on COD is scrutinized. In the
second stage, the MINLP is applied to realize the optimal matching of waste and lean streams through
the direct minimization of equipment capital cost. An example is presented to show the applicability and
advantages of the proposed novel procedure. The project was found to be highly profitable.
© 2012 Elsevier Ltd. All rights reserved.
1. Introduction
The problem of synthesizing mass exchange networks (MENs)
has been studied by several investigators (Azeez, Isafiade, &
Fraser, 2012; Dunn & El-Halwagi, 2003; El-Halwagi, 1997; El-
Halwagi, 2006; El-Halwagi, 2012; El-Halwagi & Manousiouthakis,
1989; Gabriel & El-Halwagi, 2005; Lovelady, El-Halwagi, &
Krishnagopalan, 2007; Noureldin & El-Halwagi, 2000; Wagialla, in
press; Wagialla, El-Halwagi, & Ponce-Ortega, 2012). Fig. 1 shows an
overall scheme of a MEN system. Synthesis of networks is carried
out after identification of pinch point location and selection of an
optimum set of MSAs.
The performance of chemical processes depends ultimately on
functionalities and properties. Design specifications may be based
on properties, not chemical components (e.g. vapor pressure in con-
densation, relative volatility in distillation, Henry’s coefficient in
absorption). Properties of pollutants such as volatility and solubility
can affect quantities of plant emissions. Property integration is thus
more general than mass integration which is in fact a special case
of property integration. The concept of property integration was
introduced by El-Halwagi and co-workers (El-Halwagi, Glasgow,
Eden, & Qin, 2004; Kazantzi & El-Halwagi, 2005; Kazantzi, Harell,
Gabriel, Qin, & El-Halwagi, 2004; Kazantzi, Qin, Gabriel, Harell,
& El-Halwagi, 2004). Grooms, Kazantzi, and El-Halwagi (2005)
∗
Tel.: +966 508422167; fax: +966 14678770.
E-mail address: wagialla@ksu.edu.sa
introduced the problem of synthesizing a network of property-
modifying units and scheduling operating schemes. The authors
developed a mixed-integer nonlinear programming formulation
to minimize the total annualized cost of the system, synthesize
the network, and determine its optimal operating schedule. Prop-
erty integration is a generic systematic design methodology for
allocation and manipulation of streams and process units which
is based on properties and functionalities rather than on chemi-
cal composition alone. Tracking properties through this approach
is manageable while tracking numerous chemical pollutants is
prohibitively difficult. Property integration should be considered
when: (a) process constraints are given in terms of properties,
(b) units’ performances are assessed on the basis of properties,
not chemical constituents (c) with complex mixtures of numerous
compounds such as complex hydrocarbons and (d) when environ-
mental regulations for process discharges are based on properties
(e.g. COD, BOD, pH, color, odor, etc.). Recent research consid-
ers simultaneously process and environmental constraints (Azeez
et al., 2012; El-Halwagi, 2012; Nápoles-Rivera, Ponce-Ortega, El-
Halwagi, & Jiménez-Gutiérrez, 2010; Ng, Foo, Tan, & El-Halwagi,
2010; Ponce-Ortega, El-Halwagi, & Jimenez-Gutierrez, 2010).
2. Problem statement
The problem addressed in this paper consists of designing a
cost-effective network of mass exchangers that can preferentially
transfer in-plant a specific ingredient from the waste streams to the
MSAs. Notwithstanding the numerous efforts made in the literature
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http://dx.doi.org/10.1016/j.compchemeng.2012.04.012