Model-based evaluation of ammonia removal in biological air scrubbers. (March 2020)
- Record Type:
- Journal Article
- Title:
- Model-based evaluation of ammonia removal in biological air scrubbers. (March 2020)
- Main Title:
- Model-based evaluation of ammonia removal in biological air scrubbers
- Authors:
- Van der Heyden, Caroline
Solon, Kimberly
Demeyer, Peter
Volcke, Eveline I.P. - Abstract:
- Abstract : A mechanistic model for ammonia removal in a countercurrent biological air scrubber was set up. This model was used to study the effect of the influent characteristics – air temperature, ventilation rate and ammonia load, on ammonia removal efficiency. Besides mass balances of the components participating in the biological conversions, the water mass balance and the heat balance were considered. The effects of the pH and the concentration of the nitrogen components on the driving force for mass transfer were examined. The model output was compared against experimental data from a pig housing facility. Simulations were performed to assess the usefulness of pH control and to investigate the effect of inflow air conditions on the ammonia removal efficiency. The study found out that although pH control affected the nitrogen component distribution in the washing water, it hardly affected the ammonia removal efficiency. Thus, pH control for biological air scrubbers is not recommended in practice, however, an on/off pH control system adding only acid at critical moments (pH above 7.5) could be considered. The variations in the ammonia removal efficiency are mainly caused by a changing ventilation rate rather than air temperature fluctuations or ammonia load. Highlights: A mechanistic model for a biotrickling filter for ammonia removal was developed. pH control affected the nitrogen component distribution in the washing water. Changing ventilation rate mainly causedAbstract : A mechanistic model for ammonia removal in a countercurrent biological air scrubber was set up. This model was used to study the effect of the influent characteristics – air temperature, ventilation rate and ammonia load, on ammonia removal efficiency. Besides mass balances of the components participating in the biological conversions, the water mass balance and the heat balance were considered. The effects of the pH and the concentration of the nitrogen components on the driving force for mass transfer were examined. The model output was compared against experimental data from a pig housing facility. Simulations were performed to assess the usefulness of pH control and to investigate the effect of inflow air conditions on the ammonia removal efficiency. The study found out that although pH control affected the nitrogen component distribution in the washing water, it hardly affected the ammonia removal efficiency. Thus, pH control for biological air scrubbers is not recommended in practice, however, an on/off pH control system adding only acid at critical moments (pH above 7.5) could be considered. The variations in the ammonia removal efficiency are mainly caused by a changing ventilation rate rather than air temperature fluctuations or ammonia load. Highlights: A mechanistic model for a biotrickling filter for ammonia removal was developed. pH control affected the nitrogen component distribution in the washing water. Changing ventilation rate mainly caused variations in ammonia removal efficiency. Simulation results agreed with experimental data from a pig housing facility. … (more)
- Is Part Of:
- Biosystems engineering. Volume 191(2020)
- Journal:
- Biosystems engineering
- Issue:
- Volume 191(2020)
- Issue Display:
- Volume 191, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 191
- Issue:
- 2020
- Issue Sort Value:
- 2020-0191-2020-0000
- Page Start:
- 85
- Page End:
- 95
- Publication Date:
- 2020-03
- Subjects:
- Biofiltration -- nitrification -- ammonia removal -- modelling
Bioengineering -- Periodicals
Agricultural engineering -- Periodicals
Biological systems -- Periodicals
Génie rural -- Périodiques
Systèmes biologiques -- Périodiques
631 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15375110 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystemseng.2019.12.011 ↗
- Languages:
- English
- ISSNs:
- 1537-5110
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12892.xml