کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5478541 1521806 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hydrodynamic performance of two air nozzles diameters on the massive microalgae culture: Computational and experimental approaches
ترجمه فارسی عنوان
عملکرد هیدرویدیامیک دو قطر نازل هوا بر روی فرهنگ عظیم میکروالاها: روش های محاسباتی و تجربی
کلمات کلیدی
اندازه نازل، کشت میکروالگا، مناطق مرده، بزرگ کردن، مخلوط ستون آب،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
The scaling of microalgae production in culture systems depends on preventing cells to settle down and assure a well-mixed water column. Doing so, each cell would have better exposure to light and nutrients. Computational Fluid Dynamics (CFD) can be an effective tool for understanding and predicting the multiphase flow inside tanks. In this study, we have used CFD to simulate the velocity field and the turbulent kinetic energy inside a computational tank to find best hydrodynamic performance for two nozzles configurations: case 1) one single 3 mm air nozzle; case 2) a set of nine 1 mm air nozzles. Computational results showed that smaller air nozzles are more efficient in reducing dead zones inside culturing tanks. Further, mean turbulent kinetic energy field suggested a more homogeneous dissipation, and higher intensities of turbulence were observed in the smaller nozzle simulation. The application of present numerical observations on culture systems was investigated by several experiments in 300 L cylindrical photobioreactors and 1600 L open circular tanks, both with different air nozzles sizes (1 and 3 mm) where the marine microalga Nannochloropsis oceanica was grown. Microalga growth was determined by measurements of water absorbance at 750 nm. Higher cell densities were determined in the photobioreactors and tanks with 1 mm nozzles. Thus, smaller nozzle was efficient to improve the microalga production even with increasing volume and different culture system designs, supporting the numerical analyses predictions by CFD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Algal Research - Volume 27, November 2017, Pages 318-324
نویسندگان
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