Nutrient recovery and hydrogen production from wastewater by electrodialysis process: Optimization using response surface methodology
The increasing demand for energy, water, and nutrient management has attained interest in sustainable wastewater treatment processes. The electrodialysis (ED) process provides sustainable water and energy management thanks to both nutrient recovery efficiency and hydrogen production. In this study, the ED process has been investigated, focusing on the impact of current density, number of ion-exchange membranes, initial conductivity, and the pH of both diluate and concentrate solutions. The individual and combined effects of these parameters on ED performance were analyzed. At the same time, nutrient recovery efficiency, hydrogen production, and energy consumption values were modeled using Response Surface Methodology (RSM), where correlation equations were created and optimum conditions were determined. When the analysis results were compared with the model results, hydrogen production was determined with 95.6 % accuracy, nutrient recovery efficiency with 98.7 % accuracy, and energy consumption with 98.8 % accuracy. It was observed that the generated correlation equations successfully predicted the system operations and performance parameters. Through RSM optimization, energy consumption was reduced by 24 % in 70 % less time. 25.8 % less energy consumption was obtained for 1 mL of hydrogen production. In this way, energy and time efficiencies were achieved for better sustainability of the wastewater treatment and desalination processes.
Other Information
Published in: Journal of Water Process Engineering
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.jwpe.2025.107390
Funding
Open Access funding provided by the Qatar National Library.
Qatar National Research Fund (NPRP12S-0123-190011), Development of novel and sustainable cooling technologies for self-sufficient greenhouses and buildings.
Qatar Research Development and Innovation (MME04-0529-230038).
History
Language
- English
Publisher
ElsevierPublication Year
- 2025
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Hamad Bin Khalifa University
- College of Science and Engineering - HBKU