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NAMS 2002 Workshop - ICOM 2008

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Desalination I – 1 – Keynote<br />

Monday July 14, 2:15 PM-3:00 PM, O’ahu<br />

Energy Cost Optimization in RO Desalting and the Thermodynamic<br />

Restriction<br />

R. Zhu (Speaker), University of California, Los Angeles, Los Angeles, CA, USA<br />

P. Christofides, University of California, Los Angeles, Los Angeles, CA, USA<br />

Y. Cohen, University of California, Los Angeles, Los Angeles, CA, USA, yoram@ucla.edu<br />

Modern RO and NF membranes can be operated at remarkably low pressures.<br />

However, these pressures are still significantly above the thermodynamic<br />

osmotic pressure. Although various studies have advanced a variety of<br />

approaches to evaluate the energy cost of reverse osmosis membrane<br />

desalination, such studies have not offered a simple mathematical formalism that<br />

considered the effect of the lower bound on the feed pressure on energy cost<br />

optimization. In the present study, a rigorous theoretical formalism was<br />

developed that clarifies the thermodynamic restriction on RO energy cost and<br />

provides a basis for RO process optimization. The present approach enables<br />

direct analytical solution for the minimum specific energy cost with respect to<br />

water recovery, feed and permeate flow rate. The additional impact of pressure<br />

drop within the membrane module, energy recovery devices, membrane<br />

hydraulic permeability and brine disposal cost were incorporated into the<br />

theoretical model. Specific results will be presented for simple RO configurations<br />

to demonstrate the impact of multi-stage RO operation on energy efficiency in<br />

relation to membrane cost. In addition, an analytical approach was developed to<br />

enable optimization, with respect to energy efficiency, for multi-pass RO and NF<br />

membrane desalting. The implications of the present work to lowering RO<br />

desalination cost by optimization of process configuration will be presented with<br />

reference to specific recently developed large-scale process configurations.

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