Process modeling for economic optimization of a solar driven sweeping gas membrane distillation desalination system
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Final Accepted Manuscript
Author
Moore, Sarah E.Mirchandani, Sera D.
Karanikola, Vasiliki
Nenoff, Tina M.
Arnold, Robert G.
Eduardo Sáez, A.
Affiliation
Univ Arizona, Dept Environm Chem & EngnIssue Date
2018-07
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ELSEVIER SCIENCE BVCitation
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.2018.03.005Journal
DESALINATIONRights
© 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
00119164Version
Final accepted manuscriptSponsors
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/S0011916417317198ae974a485f413a2113503eed53cd6c53
10.1016/j.desal.2018.03.005