h1

% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{AlMahri:819391,
      author       = {Al-Mahri, Badr Abdulla Salem Bin Ashoor},
      othercontributors = {Marquardt, Wolfgang and Hasan, Shadi Wajih},
      title        = {{M}echanistic modeling and experimental analysis of direct
                      contact membrane distillation for seawater desalination},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Düren},
      publisher    = {Shaker Verlag},
      reportid     = {RWTH-2021-05019},
      series       = {Berichte aus der Verfahrenstechnik},
      pages        = {1 Online-Ressource : Illustrationen, Diagramme},
      year         = {2021},
      note         = {Druckausgabe: 2021. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University; Dissertation,
                      RWTH Aachen University, 2021},
      abstract     = {Membrane distillation (MD) is an emerging technology for
                      seawater desalination. The main objectives of this research
                      study were: (1) to design, fabricate, and install a pilot
                      scale direct contact membrane distillation (DCMD) testing
                      facility, (2) to carry out experimental investigations on
                      the performance of the DCMD pilot scale facility in terms of
                      distillate production rate, recovery ratio, and performance
                      ratio, and identify the most important and optimum operating
                      conditions using orthogonal experimental design approach to
                      carry out experimental sensitivity analysis, (3) to carry
                      out short- and long-term experimental investigations at
                      transient conditions, (4) to develop a 2D spatio-temporal
                      model of DCMD that consists of experimentally-validated
                      parameters, and (5) to validate the 2D dynamic model at
                      different operating conditions. Orthogonal experimental
                      design, correlation analysis and response surface charts
                      were used to identify the parameters influencing the
                      operational efficiency of DCMD. The orthogonal array design
                      method was used to optimize the number of experimental
                      trials required for dependence analysis. The operating
                      conditions studied were feed inlet properties (temperature,
                      salinity, flowrate) and distillate inlet properties
                      (temperature and flowrate). The impact of those operating
                      conditions on three DCMD performance indicators - distillate
                      production rate, performance ratio and recovery ratio –
                      were investigated. and confirmed by using the Pearson
                      product-moment correlation coefficients. The major foulants
                      on the membrane surface were identified through membrane
                      characterization. The characterization methods employed
                      include scanning electron microscopy (SEM), Fourier
                      transform infrared (FT-IR) spectroscopy, energy-dispersive
                      X-ray spectroscopy (EDAX), streaming potential analysis,
                      contact angle measurement, and membrane pore analysis. 2D
                      dynamic model was developed from convective and diffusive
                      heat and mass transfer to predict water flux across the
                      membrane, temperature polarization, concentration
                      polarization, and response of water flux to operational step
                      changes. Aside the membrane module, the dynamic profiles of
                      mass and temperature in the system peripheries, i.e. brine
                      and distillate circulation tanks, were also modelled. Model
                      parameters (kf, kp, αHeatloss, αCoil) were identified for
                      different operating conditions using raw seawater and
                      analytical grade NaCl solution; model accuracy was evaluated
                      by comparing the model predictions before and after
                      parameter estimation; and the calibrated model was compared
                      with existing literature models to test model robustness.
                      Higher accuracy of predictions for water flux across the
                      membrane, relative to literature and experimental data, was
                      achieved using the identified model. The 2D dynamic model
                      was able to predict (i) 2D dynamic profiles of the
                      temperature and concentration of the feed across the feed
                      channel, (ii) 2D dynamic profile of temperature across the
                      permeate channel, (iii) dynamic profiles of temperature and
                      concentration polarization in the module and how the
                      polarizations change along the flow direction, (iv) the
                      dynamic profiles of temperature, concentration and mass in
                      the peripheries, and (v) the dynamic profile of water flux
                      in the module and how the profile changes along the flow
                      direction.},
      cin          = {416410},
      ddc          = {620},
      cid          = {$I:(DE-82)416410_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2021-05019},
      url          = {https://publications.rwth-aachen.de/record/819391},
}