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Updated: Jun 3, 2026

Ammonia Synthesis at Low Pressure

Ammonia Synthesis at Low Pressure

Published on: August 23, 2017

Analysis and optimization of ammonia stripping using multi-fluid model.

Liang Yu¹, Quanbao Zhao, Anping Jiang

¹Department of Biological Systems Engineering, Washington State University, Pullman, WA 99164, USA.

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|March 26, 2011

Summary

Ammonia recovery from anaerobic digestion (AD) enhances fertilizer production and odor control. CFD modeling optimized the ammonia stripping process, revealing key factors for improved efficiency.

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Electrochemically and Bioelectrochemically Induced Ammonium Recovery

Electrochemically and Bioelectrochemically Induced Ammonium Recovery

Published on: January 22, 2015

Area of Science:

Environmental Engineering
Chemical Engineering
Biotechnology

Background:

Anaerobic digestion (AD) generates excess nitrogen, necessitating efficient recovery methods.
Ammonia recovery offers benefits like low-cost fertilizer production and odor abatement.
Integrating stripping processes with AD systems is crucial for nutrient management.

Purpose of the Study:

To develop and validate a multi-fluid computational fluid dynamics (CFD) model for ammonia stripping towers.
To simulate and optimize nutrient recovery from AD systems.
To investigate the impact of operational parameters on ammonia removal efficiency.

Main Methods:

Development of a multi-fluid CFD model incorporating mass and heat transfer and dissociation reactions.
Simulation of flow, mass transfer, and reactions within an ammonia stripping tower.
Experimental validation using a packed bed system to assess CFD model accuracy.

Main Results:

CFD model showed good agreement with experimental data regarding pH and temperature effects on ammonia removal.
Identified reduced liquid-to-gas mass transfer rates at the lower packed bed sections with high air/liquid ratios.
Observed decreased liquid volume fraction and temperature in lower sections, impacting removal efficiency.

Conclusions:

The CFD model provides a valuable tool for designing, optimizing, and scaling up ammonia stripping systems.
Operational parameters like air/liquid ratio and liquid resident time significantly influence ammonia removal efficiency.
Multi-section feed-in and recirculation show potential for enhancing reactor performance in ammonia recovery.