Analysis and modeling of Nannochloropsis growth in lab, greenhouse, and raceway experiments

Patricia E. Gharagozloo, Jessica L. Drewry, Aaron M. Collins, Thomas Dempster, Christopher Y. Choi, Scott C. James

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Efficient production of algal biofuels could reduce dependence on foreign oil by providing a domestic renewable energy source. Moreover, algae-based biofuels are attractive for their large oil yield potential despite decreased land use and natural resource (e.g., water and nutrients) requirements compared to terrestrial energy crops. Important factors controlling algal lipid productivity include temperature, nutrient availability, salinity, pH, and the light-to-biomass conversion rate. Computational approaches allow for inexpensive predictions of algae growth kinetics for various bioreactor sizes and geometries without the need for multiple, expensive measurement systems. Parametric studies of algal species include serial experiments that use off-line monitoring of growth and lipid levels. Such approaches are time consuming and usually incomplete, and studies on the effect of the interaction between various parameters on algal growth are currently lacking. However, these are the necessary precursors for computational models, which currently lack the data necessary to accurately simulate and predict algae growth. In this work, we conduct a lab-scale parametric study of the marine alga Nannochloropsis salina and apply the findings to our physics-based computational algae growth model. We then compare results from the model with experiments conducted in a greenhouse tank and an outdoor, open-channel raceway pond. Results show that the computational model effectively predicts algae growth in systems across varying scale and identifies the causes for reductions in algal productivities. Applying the model facilitates optimization of pond designs and improvements in strain selection.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalJournal of Applied Phycology
DOIs
StateAccepted/In press - 2014

Fingerprint

algae
Nannochloropsis
raceways
alga
greenhouses
modeling
experiment
biofuels
biofuel
pond
lipid
oils
productivity
energy crop
oil
energy crops
water requirement
renewable energy sources
physics
lipids

Keywords

  • Algae growth model
  • CO
  • Computational fluid dynamics
  • Greenhouse
  • Light
  • Limitation
  • Nannochloropsis
  • Open-channel raceway
  • Salinity
  • Temperature

ASJC Scopus subject areas

  • Plant Science
  • Aquatic Science

Cite this

Analysis and modeling of Nannochloropsis growth in lab, greenhouse, and raceway experiments. / Gharagozloo, Patricia E.; Drewry, Jessica L.; Collins, Aaron M.; Dempster, Thomas; Choi, Christopher Y.; James, Scott C.

In: Journal of Applied Phycology, 2014, p. 1-12.

Research output: Contribution to journalArticle

Gharagozloo, Patricia E. ; Drewry, Jessica L. ; Collins, Aaron M. ; Dempster, Thomas ; Choi, Christopher Y. ; James, Scott C. / Analysis and modeling of Nannochloropsis growth in lab, greenhouse, and raceway experiments. In: Journal of Applied Phycology. 2014 ; pp. 1-12.
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