Development of machine learning and stepwise mechanistic models for performance prediction of direct contact membrane distillation module- A comparative study-Reference-Cited by-同舟云学术

Development of machine learning and stepwise mechanistic models for performance prediction of direct contact membrane distillation module- A comparative study

Published:2022-03 Issue: Volume:173 Page:108857
ISSN:0255-2701
Container-title:Chemical Engineering and Processing - Process Intensification
language:en
Short-container-title:Chemical Engineering and Processing - Process Intensification

Author:

Behnam Pooria,Shafieian Abdellah,Zargar Masoumeh^ORCID,Khiadani Mehdi^ORCID

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,General Chemical Engineering,General Chemistry

Reference60 articles.

1. Membrane distillation hybrids for water production and energy efficiency enhancement: A critical review;Ghaffour;Appl. Energy,2019

2. Heat transfer in the rectangular cross-flow flat-sheet membrane module for vacuum membrane distillation;Chiam;Chem. Eng. Process.,2014

3. Membrane distillation: Perspectives for sustainable and improved desalination;González;Renewable Sustainable Energy Rev.,2017

4. Thermal analysis evaluation of direct contact membrane distillation system;Elmarghany;Case Studies in Thermal Engineering,2019

5. Experimental investigation of the effect of the spacer and operating conditions on mass transfer in direct contact membrane distillation;Ve;Desalination,2021

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