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484 Industrial Wastewater Treatment, Recycling, and Reuse
models of the individual units. The ability to include alternative operating
strategies, bypassing entire sequences of operations and mimicking hierar-
chical control strategies in an Aspen model, enabled development of and
simulations with very realistic process models.
12.3.5 Water Optimization in the Bayer Process: Water
Integration
Deng and Feng (2009) analyzed the water system of an entire alumina plant
using the methods of pinch technology and obtained optimal water regen-
eration flow rates and contaminant concentrations targets. Based on these,
they designed a water-using network that would achieve zero waste dis-
charge, resulting in a freshwater saving rate of 62.7%.
The authors looked at the operations in a water-using network
that included losses but no reuse (Figure 12.8). Some of these are fixed-
contaminant-load operations (e.g., washing, scrubbing, and extraction)
involving mass transfer of contaminant from the source (contaminant-rich)
to the demand (contaminant-lean) stream. These operations are designed to
pick up a specified amount of contaminant. Other operations are fixed-flow
rate (e.g., boiler, cooling tower) that do not involve mass transfer and the
main concern is flow rate.
The authors tabulatedlimiting data for all operations as fixed-contaminant-
load operations. This yielded the flow rates required to remove a specified
contaminant load, given the inlet and outlet concentration and water loss.
Loss of water (Y1 t/h)
X1 t/h
Process I
X2 t/h Loss of water (Y2 t/h)
Process II
Fresh
Loss of water (Y3 t/h)
water X3 t/h
Process III Wastewater
X for
treatment
X4 t/h Loss of water (Y4 t/h)
Process IV
X5 t/h Loss of water (Y5 t/h)
Process V
Figure 12.8 Initial water-using network for a process industry.

