An artificial neural network‐based optimization of reverse electrodialysis power generating cells using <scp>CFD</scp> and genetic algorithm-Reference-Cited by-同舟云学术

An artificial neural network‐based optimization of reverse electrodialysis power generating cells using CFD and genetic algorithm

Published:2022-07-18 Issue:15 Volume:46 Page:21217-21233
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Faghihi Parsa¹,Jalali Alireza¹^ORCID

Affiliation:

1. Water Desalination and Purification Systems Lab, School of Mechanical Engineering, College of Engineering University of Tehran Tehran Iran

Publisher

Hindawi Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.8379

Reference44 articles.

1. MillerJE.Review of water resources and desalination technologies. No. SAND2003‐0800. Sandia National Lab. (SNL‐NM) Albuquerque NM (United States); Sandia National Lab.(SNL‐CA) Livermore CA (United States);2003.

2. Designing of an electrodialysis desalination plant

3. Electrodialysis-based separation technologies: A critical review

4. The electrodialysis reversal (EDR) process

5. From non‐renewable energy to renewable by harvesting salinity gradient power by reverse electrodialysis: A review

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