4.7 Review

Direct contact membrane distillation as an alternative to the conventional methods for value-added compounds recovery from acidic effluents: A review

期刊

出版社

ELSEVIER
DOI: 10.1016/j.seppur.2019.116251

关键词

Acidic effluents; Acid and metals recovery; Treatments; Membrane distillation

资金

  1. Coordination of Superior Level Staff Improvement (CAPES)
  2. National Council for Scientific and Technological Development (CNPq)
  3. Foundation for Research Support of the State of Minas Gerais (FAPEMIG)

向作者/读者索取更多资源

The biggest challenge that the mining and metallurgic industry faces is overcoming the contradictions between this activity benefits and environmental costs. One of the steps that causes the greatest damage to the environment and human health refers to acid mine drainage (AMD) and pickling solutions, which is a result of certain sulfide minerals oxidation. This process causes water acidification as well as the considerable increase in metals and sulfate concentrations on aqueous matrices restricting its use. Thus, it is necessary to adopt cleaner production methods to meet increasingly restrictive environmental legislation and, moreover, allow the possibility to recover these sub-products, generating operational economic savings. In this scenario the membrane distillation (MD) application, which is based on the vapor pressure difference between the two sides of hydrophobic membrane surfaces, stands out. Among the MD process the direct contact membrane distillation (DCMD) is highlighted, it has several advantages, such as its ability of 100% (theoretical) macromolecules rejection, in addition to non-volatile compounds and inorganic ions. Moreover, MD operates at relatively low temperature and lower operating pressures when compared to the classical membrane separation processes (MSP), producing high-quality water. These MD characteristics prove that this method is able to treat the AMD and pickling solutions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据