Ammonia recovery via direct contact membrane distillation: Modeling and performance optimization

Yuan Hu, Ching Yoong Loh, Ming Xie, Gang Chen, Manhong Huang, Jinli Qiao

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)

Abstract

Ammonia recovery from wastewater has positive environmental benefits, avoiding eutrophication and reducing production energy consumption, which is one of the most effective ways to manage nutrients in wastewater. Specifically, ammonia recovery by membrane distillation has been gradually adopted due to its excellent separation properties for volatile substances. However, the global optimization of direct contact membrane distillation (DCMD) operating parameters to maximize ammonia recovery efficiency (ARE) has not been attempted. In this work, three key operating factors affecting ammonia recovery, i.e., feed ammonia concentration, feed pH, and DCMD running time, were identified from eight factors, by a two-level Plackett-Burman Design (PBD). Subsequently, Box-Behnken design (BBD) under the response surface methodology (RSM) was used to model and optimize the significant operating parameters affecting the recovery of ammonia though DCMD identified by PBD and statistically verified by analysis of variance (ANOVA). Results showed that the model had a high coefficient of determination value (R2 = 0.99), and the interaction between NH4Cl concentration and feed pH had a significant effect on ARE. The optimal operating parameters of DCMD as follows: NH4Cl concentration of 0.46 g/L, feed pH of 10.6, DCMD running time of 11.3 h, and the maximum value of ARE was 98.46%. Under the optimized conditions, ARE reached up to 98.72%, which matched the predicted value and verified the validity and reliability of the model for the optimization of ammonia recovery by DCMD process.

Original languageEnglish
Article number121683
JournalJournal of Environmental Management
Volume365
Early online date3 Jul 2024
DOIs
Publication statusPublished - 31 Aug 2024

Data Availability Statement

Data will be made available on request.

Funding

The authors would like to thank the financial support from Fundamental Research Funds for the Central Universities (CUSF-DH-T-2023060) and Natural Science Foundation of Shanghai (No.20ZR1400100).

FundersFunder number
Fundamental Research Funds for the Central UniversitiesCUSF-DH-T-2023060
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Shanghai Municipality20ZR1400100
Natural Science Foundation of Shanghai Municipality

    Keywords

    • Ammonia recovery
    • Box-Behnken design
    • DCMD
    • Modeling and optimization
    • Plackett-Burman design
    • Response surface methodology

    ASJC Scopus subject areas

    • Environmental Engineering
    • Waste Management and Disposal
    • Management, Monitoring, Policy and Law

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