• Title of article

    Optimal planning and design of seawater RO brine outfalls under environmental uncertainty Original Research Article

  • Author/Authors

    Sami Maalouf، نويسنده , , Diego Rosso، نويسنده , , William W.-G. Yeh، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    12
  • From page
    134
  • To page
    145
  • Abstract
    Increasing demand for water in urban areas and agricultural zones in arid and semi-arid coastal regions has urged planners and regulators to look for alternative renewable water sources. Seawater reverse osmosis desalination plants have become an essential supply source for the production of freshwater in such regions. However, disposal of hypersaline wastes from the plants in many of these regions has not been fully and properly addressed. A simulation–optimization approach is proposed to design a system for safe disposal of brine wastes. We use a hydrodynamic model to assess the initial dilution of hypersaline effluent discharged into coastal waters. A regression model is developed to relate the input and output parameters of the simulation model. We then formulate an optimization model to determine the design of a brine disposal system with multiport diffusers in which the regression model replaces the simulation model. The design parameters are the length, diameter and number of ports of the disposal system. Given the parameter uncertainty, a chance-constrained programming model is used. This simulation–optimization framework provides planners with effective tools that meet environmental permitting requirements and restrictions, while achieving cost savings and adequate hydrodynamic performance. A case study demonstrates the applicability of the proposed methodology.
  • Keywords
    RO brine , Chance-constrained programming (CCP) , Mixed-integer linear programming (MILP) , Optimization , Marine outfall , Coastal pollution
  • Journal title
    Desalination
  • Serial Year
    2014
  • Journal title
    Desalination
  • Record number

    1115993