Literature DB >> 33873064

Mechanism of separation and removal of water from oily sludge using liquid dimethyl ether to dissolve hydrocarbons.

Biao Mu1, Wei Zhu2, Jun Zhong1, Le Chen1, Naixi Lin1, Chenyu Wang3, Sipeng Chen1, Zhuo Li1.   

Abstract

The effective disposal of oily sludge generated from the petroleum industry has received increasing concern. The primary difficulty for the reduction and resource utilization of oily sludge is dewatering. Therefore, finding an efficient and energy-saving dewatering technology is an urgent need for the treatment of oily sludge. In this study, an innovative developed method using liquefied dimethyl ether (L-DME) for dewatering is employed to deal with oily sludge for the first time. Oily sludge from a refinery was used to conduct experiments in sequencing dissolution-separation reactors. Changes in the dehydration rate, oil recovery, group components (hydrocarbon series of petroleum, including saturates, aromatics, resins and asphaltenes) at different extraction time, temperatures and L-DME additions were measured. The results revealed that L-DME removed 90% of the water and recovered 40% of the oil, which was an amazing dehydration effect for oily sludge. The water-binding form of oily sludge is different from sewage sludge and other biomass and the water in oily sludge is in a stable water-in-oil (W/O) suspension emulsified state. L-DME was mixed with semi-colloidal like oily sludge to break the structure of the water-in-oil emulsion, making the mixture into a solid-liquid two phase substances that were easy to separate, thus achieving a high degree of separation of water. The dissolution of saturated hydrocarbons, aromatic hydrocarbons, and small amounts of colloid by L-DME played an important auxiliary role in water removal.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dewatering; L-DME; Oily sludge; Recycling

Year:  2021        PMID: 33873064     DOI: 10.1016/j.chemosphere.2021.130452

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Evaluation and Prediction on the Effect of Ionic Properties of Solvent Extraction Performance of Oily Sludge Using Machine Learning.

Authors:  Changchao Hu; Shuhan Fu; Lingfu Zhu; Wei Dang; Tingting Zhang
Journal:  Molecules       Date:  2021-12-13       Impact factor: 4.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.