Computational and experimental studies of high depth algal raceway pond photo-bioreactor
S.S. Sawant,
H.P. Khadamkar,
C.S. Mathpati,
Reena Pandit and
A.M. Lali
Renewable Energy, 2018, vol. 118, issue C, 152-159
Abstract:
Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements.
Keywords: Algae; Raceway pond; Hydrofoil; Computational fluid dynamics; Mixing (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148117311163
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:118:y:2018:i:c:p:152-159
DOI: 10.1016/j.renene.2017.11.015
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().