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Design and analysis of flow velocity distribution inside a raceway pond using computational fluid dynamics
Ramakant Pandey1, M Premalatha2
1Department of Energy and Environment, National Institute of Technology, Tiruchirappalli, 620 015, India.
Bioprocess and Biosystems Engineering
|December 18, 2016
Summary
This study optimizes open raceway pond design for microalgae cultivation by analyzing paddle wheel positioning and geometry. Findings aim to maintain optimal flow velocity at a 25 cm working depth, enhancing large-scale algae production.
Area of Science:
- Biotechnology
- Fluid Dynamics
- Aquaculture Engineering
Background:
- Open raceway ponds are crucial for large-scale microalgae cultivation.
- Optimizing the volume-to-surface area ratio is key for efficiency.
- Conventional pond depths (5-15 cm) limit productivity; this study explores a 25 cm depth.
Purpose of the Study:
- To analyze paddle wheel positioning and geometry for a 25 cm working depth in open raceway ponds.
- To determine optimal parameters for maintaining minimum flow velocity and prevent algae settling.
- To enhance microalgae cultivation efficiency through improved raceway pond design.
Main Methods:
- Computational Fluid Dynamics (CFD) simulations using ANSYS Fluent.
- Analysis of flow patterns at various paddle wheel speeds and Length/Width (L/W) ratios (6, 8, 10).
- Investigation of rotor blade tip clearance effects (2, 5, 10, 15 mm) and use of a moving reference frame.
Main Results:
- Calculated Vertical Mixing Index based on paddle wheel positioning.
- Detailed analysis of flow patterns along the raceway length under different conditions.
- Validation of CFD results against experimental Particle Image Velocimetry (PIV) data with 7.23% deviation.
Conclusions:
- The study provides insights into raceway pond geometry for efficient microalgae cultivation at increased depths.
- Optimal paddle wheel configuration is crucial for maintaining adequate flow velocity and preventing cell sedimentation.
- CFD modeling offers a reliable approach for optimizing raceway pond design, validated by experimental data.
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