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A systematic approach towards optimization of brackish groundwater treatment using nanofiltration (NF) and reverse osmosis (RO) hybrid membrane filtration system.
Srivastava, Alka; Singh, Rajneesh; Rajput, Vishnu D; Minkina, Tatiana; Agarwal, Smriti; Garg, Manoj Chandra.
Afiliação
  • Srivastava A; Amity Institute of Environmental Sciences, Amity University Uttar Pradesh, Sector 125, Noida, Uttar Pradesh, 201313, India. Electronic address: alka.srivastava@s.amity.edu.
  • Singh R; Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, USA. Electronic address: raj.avnee@gmail.com.
  • Rajput VD; Academy of Biology and Biotechnology, Southern Federal University, 344090, Rostov-on-Don, Russia. Electronic address: rvishnu@sfedu.ru.
  • Minkina T; Academy of Biology and Biotechnology, Southern Federal University, 344090, Rostov-on-Don, Russia. Electronic address: minkina@sfedu.ru.
  • Agarwal S; Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India. Electronic address: smritiagarwal@mnnit.ac.in.
  • Garg MC; Amity Institute of Environmental Sciences, Amity University Uttar Pradesh, Sector 125, Noida, Uttar Pradesh, 201313, India. Electronic address: mcgarg@amity.edu.
Chemosphere ; 303(Pt 3): 135230, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35688189
ABSTRACT
This research compares the performance efficiencies of Nanofiltration (NF), Reverse osmosis (RO), and Nanofiltration-Reverse Osmosis (NF-RO) hybrid membrane filtration systems, for treatment of brackish groundwater in Delhi-NCR region. Central composite design (CCD) of response surface methodology (RSM) were applied to formulate predictive models for the optimization and simulation of various responses, viz. Water flux, salt rejection, permeate recovery and specific energy consumption (SEC). Three different input factors (feed concentration, pH and pressure) were evaluated. Significance of RSM model was tested and validated with use of an analysis of variance (ANOVA). The models were also compared graphically for their prediction ability. The optimum conditions were determined by numerical optimization of the NF and RO membrane pilot plants. Finally, hybrid configurations of NF and RO were investigated utilising the optimum conditions to identify the technology suitable for the remediation of brackish groundwater. Despite, RO membrane eliminating over 99% of TDS from groundwater, the lower recovery rate renders it environmentally unfavourable. Result indicates that recovery of the hybrid system (40.35%) was greater than that of RO alone (18.796%) and SEC also decreases (5.090-3.8 kW H/m3). Hence, combining a hybrid membrane arrangement with NF-RO to treat brackish groundwater for improved recovery and lower SEC is a viable alternative.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Subterrânea / Purificação da Água Tipo de estudo: Prognostic_studies Idioma: En Revista: Chemosphere Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Subterrânea / Purificação da Água Tipo de estudo: Prognostic_studies Idioma: En Revista: Chemosphere Ano de publicação: 2022 Tipo de documento: Article