Temperature Optimization of Membrane Distillation for Ammonia Removal

Marina Zernik

▰ Waste water composed of organic matter, microorganisms, and inorganic compounds

▰ nitrogen, sulfur, and phosphorus

▰ Water that has been used in industrial, agricultural, or domestic processes

Sources▰ Industrial: ammonia in

concentrations ranging from 5-1000 mg/L

▰ Municipal: sources from communities or households

losses to aquaculture industries as a result of nutrient pollution estimated in the tens of millions of dollars annually

billions of dollars each year for water treatment

Dissolved Oxygen: 2-4 mg/L distress, below 2 mg/L mortality

Loss of aquatic vegetation and habitat due to shading

Health Concerns▰ Cyanobacteria can produce

neurotoxins, hepatotoxins, and toxic alkaloids▰ skin irritation, vomiting,

and allergic reactions with direct contact

▰ Nitrates considered possibly carcinogenic

Taken at Dana Point on 3/31/19

34.5% of U. S. Lakes (38,585) considered most disturbed from Nitrogen

● Multiple steps of pretreatment to remove large particles and primary treatment to clarify

● Current Secondary Treatment: Activated Sludge

○ Use of bacteria to turn ammonia into nitrates-> nitrogen gas

How can membrane distillation be optimized in order to improve the

process of water treatment for nutrients?

What role does temperature play in transfer of ammonia?

Null: Membrane distillation cannot become a competitive method of ammonia removal from wastewater even with temperature optimizing techniques.

Alternative: Temperature optimization of the MD process will allow for MD to become a competitive methods of ammonia from wastewater.

▰ Ammonia Concentrations at Various Temperatures

▰ Membrane Distillation▰ Most similar

parameters possible

▰ Compare Trends▰ Correlation Value

AnalysisData Sources Data Collected

▰ ScienceDirect▰ Google Scholar▰ ResearchGate▰ Related Articles

Duong et al., 2015; Hasanoğlu et al, 2010; Xie et al, 2009

Temperature (Celcius) Correlation Value (between time and ammonia)

30 -.946

45 -.961

50 -.960

65 -.969

75 -.909

Viability of Data

Implications

▰ Other ways of optimization▰ Membrane

composition▰ Receiving Solution▰ Heat Loss

▰ Further Research on Temperature

Limitations ▰ Limited Literature▰ Varying Conditions▰ Perform ANOVA Tests

to determine variance

Acknowledgements

▰ Dr. Nikki Malhotra▰ Dr. Judson King▰ Jan Garcia▰ Nikki Razal

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Temperature Optimization of Membrane Distillation for Ammonia Removal

Marina Zernik