Abstract
Abstract An optimisation framework for a Reverse Osmosis (RO) based desalination process is developed so as to maximize a profit function using different energy recovery devices, subject to general constraints. The optimal operating parameters (feed flux, feed pressure) and design parameters (internal diameter, total number of tubes) are determined by solving the optimisation problem using an efficient successive quadratic programming (SQP) based method. The optimal values for the decision variables depend on the constrains introduced, and are also sensitive to variations in water and energy prices, as well as feed concentration. The use of the emerging energy recovery devices is widely justified, reporting much higher reductions in operating costs than the traditional technology used for this purpose. Using pressure exchanger device it is possible to reduce energy consumption by up to 50%.
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