• DocumentCode
    3407026
  • Title

    Modelling and simulation of osmotic energy from salinity gradients: A case study from River Thames

  • Author

    Wei He ; Yang Wang ; Shaheed, M.H.

  • Author_Institution
    Sch. of Eng. & Mater. Sci., Queen Mary, Univ. of London, London, UK
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    907
  • Lastpage
    912
  • Abstract
    Faced with increasingly population growth and climate change, renewable energy sources are regarded as promising solutions. Recently, the osmotic energy from salinity gradients can be harnessed as for renewable power generation. Pressure retarded osmosis (PRO) is one of the most explored technologies. In this study, we carry out a series of simulations on different configurations depending on different water conditions. The numerical result of osmotic power from River Thames generated by single PRO process indicates its promising potential capacity. Furthermore, power generation by hybrid membrane process (HMP) of PRO integrated with reverse osmosis (RO) process is investigated. The numerical results demonstrate the energy reduction on the RO process by a PRO as pre-treatment and the energy generated by PRO process in different HMPs. At last, this study simulates and compares the configurations with different available water conditions and operations based on the water samples from River Thames.
  • Keywords
    membranes; renewable energy sources; reverse osmosis; salinity (geophysical); HMP; PRO process; River Thames; climate change; hybrid membrane process; osmotic energy modelling; osmotic energy simulation; population growth; potential capacity; power generation; pressure retarded osmosis; renewable energy sources; salinity gradient; Energy consumption; Feeds; Osmosis; Power generation; Renewable energy sources; Rivers; Water resources; Configurations; Hydrid membrane process; Osmotic energy; Pressure retarded osmosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Research and Applications (ICRERA), 2013 International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/ICRERA.2013.6749880
  • Filename
    6749880