Limits of power production due to finite membrane area in pressure retarded osmosis

被引:59
作者
Banchik, Leonardo D. [1 ]
Sharqawy, Mostafa H. [2 ]
Lienhard, John H. [1 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] King Fand Univ Petr & Minerals, Dept Mech Engn, Dhahran 31261, Saudi Arabia
基金
美国国家科学基金会;
关键词
Pressure retarded osmosis; Effectiveness-mass transfer units; Heat and mass transfer analogy; Concentration polarization; SALINITY-GRADIENT POWER; ENERGY; GENERATION; DESIGN; POLARIZATION; PLANT; MODEL; FLOW;
D O I
10.1016/j.memsci.2014.05.021
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Dimensionless analytical expressions for the power attainable from an ideal counterflow pressure retarded osmosis (PRO) system model are developed using a one-dimensional model that accounts for streamwise variations in concentration. This ideal PRO system has no salt permeation or concentration polarization. The expressions show that the optimal hydraulic pressure difference, for which the maximum power is produced, deviates significantly from the classical solution of one-half of the trans-membrane osmotic pressure difference, Delta pi/2, as the dimensionless membrane area (MTU pi) increases and the ratio of draw to feed mass flow rates (MR) varies. The overall maximum power attainable from a PRO membrane is found to occur in the limit of infinitely large MTU pi (an effectiveness of unity) and infinite MR. For an ideal PRO system which mixes seawater (35 g/kg) and river water (1.5 g/kg), the overall maximum power of 1.57 kJ/kg of feed can be attained at roughly MTU pi of 15, an MR of 10, and a pressure of 0.83 Delta pi. Due to economic considerations, a PRO system in practice will have limited membrane area and will operate at an effectiveness of less than unity. The present work can be used to estimate the operating conditions and area required for a PRO system of given performance. The effect of concentration polarization on optimal hydraulic pressure difference and maximum power performance is also investigated using a numerical model. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:81 / 89
页数:9
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