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Quantifying fat, oil, and grease deposit formation kinetics.
Mahbuba Iasmin1, Lisa O Dean2, Joel J Ducoste1
1Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, United States.
Water Research
|November 25, 2015
Summary
Fat, oil, and grease (FOG) deposits cause sanitary sewer overflows (SSOs). This study determined FOG deposit formation kinetics, finding a mechanistic model accurately predicts rates and aids in predicting sewer blockages.
Area of Science:
- Environmental Engineering
- Chemical Engineering
- Wastewater Treatment
Background:
- Fat, oil, and grease (FOG) deposits in sanitary sewers form calcium-based saponified solids.
- These FOG deposits are a primary cause of sanitary sewer overflows (SSOs) nationwide.
- Understanding FOG deposit kinetics is crucial for preventing SSOs.
Purpose of the Study:
- To determine the kinetics of lab-based saponified solids formation.
- To investigate the influence of fat type, calcium source, pH, and temperature on FOG deposit formation.
- To compare the predictive capabilities of empirical and mechanistic models for saponification.
Main Methods:
- Investigated saponification kinetics using Canola and Beef Tallow fats with calcium chloride and calcium sulfate.
- Conducted experiments under varying pH (7, 10, ≈14) and temperature (22°C, 45°C) conditions.
- Compared experimental data with Cotte saponification, Foubert crystallization, and a mass-action based mechanistic model.
Main Results:
- Fat reactions with calcium ions rapidly formed saponified solids.
- Palmitic fatty acid content, pH, and temperature significantly influenced FOG deposit formation and saponification rates.
- The mass-action based mechanistic model accurately predicted saponified solid formation rates, outperforming empirical models.
- Beef Tallow hydrolysis was slower than Canola fat, yielding less saponified solids.
Conclusions:
- A mass-action based mechanistic model provides a superior framework for understanding and predicting FOG deposit formation in sewers.
- This model's ability to track chemical precursors can inform municipal sewer collection modeling software.
- Accurate prediction of FOG deposit formation can help mitigate sanitary sewer overflows.

