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    Process modeling for economic optimization of a solar driven sweeping gas membrane distillation desalination system

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    Process_Modeling_final.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Moore, Sarah E.
    Mirchandani, Sera D.
    Karanikola, Vasiliki
    Nenoff, Tina M.
    Arnold, Robert G.
    Eduardo Sáez, A.
    Affiliation
    Univ Arizona, Dept Environm Chem & Engn
    Issue Date
    2018-07
    Keywords
    Desalination
    Solar energy
    Membrane distillation
    Optimization
    Modeling
    
    Metadata
    Show full item record
    Publisher
    ELSEVIER SCIENCE BV
    Citation
    Sarah E. Moore, Sera D. Mirchandani, Vasiliki Karanikola, Tina M. Nenoff, Robert G. Arnold, A. Eduardo Sáez, Process modeling for economic optimization of a solar driven sweeping gas membrane distillation desalination system, Desalination, 437, pp 108-120, https://doi.org/10.1016/j.desal.2018.03.005
    Journal
    DESALINATION
    Rights
    © 2018 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Water scarcity is especially impactful in remote and impoverished communities without access to centralized water treatment plants. In areas with access to a saline water source, point-of-use desalination by solar-driven membrane distillation (MD) is a possible method for mitigating water scarcity. To evaluate the applicability of MD, a comprehensive process model was developed and used to design an economically optimal system. Thermal energy for distillation was provided by solar thermal collectors, and electricity was provided using photovoltaic collectors. Distillation was performed using sweeping-gas membrane distillation. The cost of water in the optimized system was approximately $85/m(3). Membrane modules and solar thermal collectors made up the largest portion of the cost. Neither thermal nor electrical energy storage was economical within current technologies. The model developed provides a template to optimize MD membrane characteristics specialized for point-of-use applications.
    Note
    24 month embargo; published online: 15 March 2018.
    ISSN
    00119164
    DOI
    10.1016/j.desal.2018.03.005
    Version
    Final accepted manuscript
    Sponsors
    Campus Executive Laboratory-Driven Research and Development Program at Sandia National Laboratories; U.S. Department of Energy's National Nuclear Security Administration [DE-NA-0003525]
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S0011916417317198
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.desal.2018.03.005
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