TY - JOUR
T1 - A dynamic thermal algal growth model for pilot-scale open-channel raceways
AU - Quiroz-Arita, Carlos
AU - Blaylock, Myra L.
AU - Gharagozloo, Patricia E.
AU - Bradley, Thomas H.
AU - Dempster, Thomas
AU - McGowen, John
AU - Davis, Ryan W.
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/6
Y1 - 2020/6
N2 - This study describes the makeup of and results from a simulation consisting of a lumped thermal model integrated with a dynamic algae growth model to simulate the microalgae productivity of an open-channel raceway cultivation system. The thermal model considers the dynamic effects of weather, light absorption, convective heat transfer, radiation heat transfer, conductive heat transfer, thermal capacitance, and water control strategies. The dynamic algae growth model solves a set of ordinary differential equations consisting of growth functions dependent on incident radiation, temperature, nutrient availability, basal metabolism, and losses due to dark- and photo-respiration. Relative errors in the predicted ash-free dry weight of Nannochloropsis oceanica are 12.5%, −6.1%, and 4.4% for three separate replicates of cultivation cycles (~4.2 m2) performed at AzCATI during the ATP3 Unified Field Studies in Fall, Spring, and Summer. This research demonstrates that thermal modeling is an essential contributor to the validation of microalgae growth models.
AB - This study describes the makeup of and results from a simulation consisting of a lumped thermal model integrated with a dynamic algae growth model to simulate the microalgae productivity of an open-channel raceway cultivation system. The thermal model considers the dynamic effects of weather, light absorption, convective heat transfer, radiation heat transfer, conductive heat transfer, thermal capacitance, and water control strategies. The dynamic algae growth model solves a set of ordinary differential equations consisting of growth functions dependent on incident radiation, temperature, nutrient availability, basal metabolism, and losses due to dark- and photo-respiration. Relative errors in the predicted ash-free dry weight of Nannochloropsis oceanica are 12.5%, −6.1%, and 4.4% for three separate replicates of cultivation cycles (~4.2 m2) performed at AzCATI during the ATP3 Unified Field Studies in Fall, Spring, and Summer. This research demonstrates that thermal modeling is an essential contributor to the validation of microalgae growth models.
KW - Algae
KW - Dark-and photo-respiration
KW - Dynamic
KW - Lumped thermal model
KW - Raceways
KW - Well-mixed growth model
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U2 - 10.1016/j.biteb.2020.100405
DO - 10.1016/j.biteb.2020.100405
M3 - Article
AN - SCOPUS:85080109378
SN - 2589-014X
VL - 10
JO - Bioresource Technology Reports
JF - Bioresource Technology Reports
M1 - 100405
ER -