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Licensed Unlicensed Requires Authentication Published by De Gruyter July 27, 2020

Response surface methodology for predicting the dimethylphenol removal from wastewater via reverse osmosis process

Mudhar Al-Obaidi, Basman Al-Nedawe, Abdulrahman Mohammad and Iqbal Mujtaba

Abstract

Reverse Osmosis (RO) process can be considered as one of the intensively used pioneering equipment for reusing wastewater of several applications. The recent study presented the development of an accurate model for predicting the dimethylphenol removal from wastewater via RO process. The Response Surface Methodology (RSM) was applied to carry out this challenge based on actual experimental data collected from the literature. The independent variables considered are the inlet pressure (5.83–13.58) atm, inlet temperature (29.5–32) ° C, inlet feed flow rate (2.166–2.583) × 10–4 m3/s, and inlet concentration (0.854–8.049) × 10-3 kmol/m3 and the dimethylphenol removal is considered as the response variable. The analysis of variance showed that the inlet temperature and feed flow rate have a negative influence on dimethylphenol removal from wastewater while the inlet pressure and concentration show a positive influence. In this regard, F-value of 240.38 indicates a considerable contribution of the predicted variables of pressure and concentration against the process dimethylphenol rejection. Also, the predicted R2 value of 0.9772 shows the high accuracy of the model. An overall assessment of simulating the performance of RO process against the operating parameters has been systematically demonstrated using the proposed RSM model.

Highlights

  1. Response Surface Method forms RO model to remove dimethylphenol from wastewater.

  2. The model validation is realised based on actual data of dimethylphenol removal.

  3. RSM model shows high F-value that pointed out high contribution of the variables.

  4. RSM model depicts R 2 of 0.9772 of high-support of the model and experimental data.

  5. Effect of main parameters on dimethylphenol removal analysed by 3D counter plots.


Corresponding author: Iqbal Mujtaba, Chemical Engineering Department, Faculty of Engineering and Informatics, University of Bradford, Bradford, West Yorkshire BD7 1DP, UK,

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-03-31
Accepted: 2020-05-19
Published Online: 2020-07-27

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