4.7 Article

Predicting the influence of operating conditions on DCMD flux and thermal efficiency for incompressible and compressible membrane systems

期刊

DESALINATION
卷 323, 期 -, 页码 142-149

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.desal.2013.04.002

关键词

Membrane distillation; Membrane compressibility; Energy efficiency

资金

  1. CSIRO Cluster on Advanced Membrane Technologies for Water Treatment

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Membrane distillation (MD) is a hybrid of thermal distillation and membrane separation. As a thermal distillation process, MD is an energy intensive technique. Therefore, it is important to select optimum operation parameters to maximise both the flux and energy efficiency, even though low grade or waste heat maybe employed in the process. In this paper, a model originally developed for Direct Contact Membrane Distillation (DCMD) using a compressible membrane is employed to predict the thermal efficiency and flux for both compressible and incompressible membrane systems. The predicted thermal efficiency was also compared with experimental results, and the errors were mostly within the range of experimental variation (+/-5%). As a result of membrane compressibility, the thermal conductivity and vapour permeability of the membrane were altered, causing a change in flux and energy efficiency. If a compressible membrane is used, it was found from the predicted results, that increasing stream velocity will reduce the thermal efficiency and even reduce flux once the increased pressure associated with the higher flows is in the range to compress the membrane. Increasing temperature either on feed side or on permeate side will increase thermal efficiency. In scaling up the process using a compressible membrane, it is necessary to reduce the pressure drop across the module in the DCMD process to maximise energy efficiency and flux. Since the operating temperature is normally not adjustable when low grade waste heat is employed, optimising the flowrates and pressure drops are the key factors for optimising flux and thermal efficiency. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.

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