Scholarlink

<p>Forward osmosis (FO) has emerged as a highly attractive separation technology owing to its potential low-grade energy consumption and versatile applications. However, a significant gap remains in understanding its performance under dynamic conditions. This study investigates the dynamic performance of the FO process using NaCl and NH<sub>4</sub>HCO<sub>3</sub> draw solutes. This study entails a well-established FO water flux model alongside dynamic molar balances to predict the dynamic profiles of key variables including water flux, salt back-diffusion, cumulative feed and permeate volumes, and concentration/dilution rates. The membrane parameters are evaluated considering the continuous decrease in concentration gradient across the membrane throughout the operating period. These parameters are calculated through a model of the specific salt back-diffusion formulated using Pyomo-AML. Model predictions were compared to experimental data over 20&#xa0;h at 1-min intervals, resulting in mean absolute errors ranging from 0.13 to 3.55% for the studied variables.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The role of osmotic pressure drop in enhancing the predictive performance of dynamic models for sustainable forward osmosis water desalination

  • 期刊论文

  • 发表日期：

    2026年2月22日

查看全文
  • Jaouad Eddouibi,
  • Imane Chaoui,
  • Issa Ndiaye,
  • Souad Abderafi,
  • Sébastien Vaudreuil,
  • Meriem Chaanaoui,
  • Tijani Bounahmidi

摘要

Forward osmosis (FO) has emerged as a highly attractive separation technology owing to its potential low-grade energy consumption and versatile applications. However, a significant gap remains in understanding its performance under dynamic conditions. This study investigates the dynamic performance of the FO process using NaCl and NH4HCO3 draw solutes. This study entails a well-established FO water flux model alongside dynamic molar balances to predict the dynamic profiles of key variables including water flux, salt back-diffusion, cumulative feed and permeate volumes, and concentration/dilution rates. The membrane parameters are evaluated considering the continuous decrease in concentration gradient across the membrane throughout the operating period. These parameters are calculated through a model of the specific salt back-diffusion formulated using Pyomo-AML. Model predictions were compared to experimental data over 20 h at 1-min intervals, resulting in mean absolute errors ranging from 0.13 to 3.55% for the studied variables.