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Optimization of a Treatment System of Wastewater Streams for Electrochemical Cr(VI) Reduction: Selective versus Centralized Treatment

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Published/Copyright: September 18, 2018

Abstract

The problem of the optimization of selective treatment systems of wastewater streams contaminated with hexavalent chromium [Cr(VI)] is investigated. In order to comply with the Mexican environmental norm of Cr(VI) for treated wastewater streams at minimum cost, a nonlinear programming (NLP) model for the electrochemical reduction of hexavalent chromium to trivalent chromium was developed. The model incorporates a variable reaction rate, which is a function of the Cr(VI) concentration and the electrical current density of the electrochemical process. For this purpose, a basic superstructure of the effluent treatment is proposed. The superstructure is composed of three continuous electrochemical reactors without recirculation, and it may produce either a series and/or parallel design topology. The NLP model was used to minimize the objective function, defined as the total annual cost (TAC), which includes the capital cost of each electrochemical reactor, the electrical energy cost and the cost of the treatment of the wastewater streams. In order to investigate the solution set of the proposed NLP model, i. e., to improve the possibilities of obtaining optimum solutions based on economic criteria, a multi-start algorithm was implemented. Two example problems are used to show the versatility of the model and different local optimal solutions were obtained for each case study. The results show that a selective treatment of wastewater streams based on the search of local optimal solutions yields significant savings with respect to a centralized treatment design.

Acknowledgements

ALY would like to acknowledge the support of UAM, México, for the academic scholarship and the financial support of this graduate project.

Nomenclature

Abbreviation
NLP

nonlinear programming

TAC

total annual cost

Cr(III)

trivalent chromium

Cr(VI):

hexavalent chromium

Symbols
M1

mixer 1

M2

mixer 2

M3

mixer 3

M4

mixer 4

Uk

treatment units

Indices
i

index for wastewater streams

k

index for unit treatment

l

index for streams that go from one treatment unit to another

e

index of discharge point

L

index of lower bound of a decision variable

U

index of upper bound of a decision variable

Sets
I

set of wastewater streams in the basic superstructure.

K

set of treatment units in the basic superstructure.

Parameters
S:

wastewater flow rate, L·min−1

Ci

concentration of pollutant in each wastewater stream, mg·L−1

ceU

discharge limit for the contaminant Cr(VI) in examples 1 and 2, 0.5 mg·L−1

cinL

lower limit for inlet concentration in each treatment unit, mg·L−1

cref

reference concentration for the volumetric cost factor, mg·L−1

cref

500 mg·L−1

UF

annual usage factor of the electric consumption of each Uk, UF=0.7, dimensionless

mU

upper limit for mass load, g min−1

mU=iISiCi
VL

lower limit for volume, 500 L

VU

upper limit for volume, 800 L

IL

lower limit for current density, 0 A·m−2

IU

upper limit for current density, 500 A·m−2

Fe

total flowrate in discharge point, L min−1

Fe=iISi
T

amortization period for each reactor, 20 years

a

constant in Table 2 to determine reactor capital cost, 14,000 dimensionless

b

constant in Table 2 to determine reactor capital cost, 15,400 dimensionless

n

constant in Table 2 to determine reactor capital cost, dimensionless

fm

material factor for 304 stainless steel, dimensionless

p

slope of the line in Equation 8, 2.1895 A·V−1

q

Intercept in Equation 8, 6.6305 A

Ar

Cathode surface, 0.36 m2

Positive continuous variables
fik

segregated flowrate for process stream to treatment unit, L·min−1

f ki,e

segregated flowrate discharge into the environment, L·min−1

fi,ak

untreated stream before discharge point, L·min−1

tk

treatment flow rate through the treatment unit, L·min−1

tlk

flowrate between treatment units, L·min−1

tkl,e

flowrate from processing unit to the discharge, L·min−1

cink

input concentration of the pollutant in each treatment unit, mg·L−1

coutk

output concentration of the pollutant in each treatment unit, mg·L−1

coutl

output concentration of the pollutant from one treatment unit to another, mg·L−1

Δmk

mass flowrate load for the toxic compound in each treatment unit, g·min−1

cke

pollutant concentration obtained in discharge point, mg·L−1

Rk

variable removal ratio in each wastewater treatment unit

Ik

current density in each wastewater treatment unit, A·m−2

Ek

applied potential in each wastewater treatment unit, V

CEk

cost in dollars per year of the electric energy for each reactor, US $·year−1

CFk

unit cost used in Eq. for estimating the cost of treatment of flow, US $·year−1

Cak

Cost of equipment in stainless steel 304, US $·year−1

Vk

reactor volume in each treatment unit, L

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Received: 2018-03-27
Revised: 2018-06-06
Accepted: 2018-06-26
Published Online: 2018-09-18

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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