Incorporation of salinity, nitrogen, and shading stress factors into the Huesemann Algae Biomass Growth model
- Univ. of Arizona, Tucson, AZ (United States); University of Arizona
- Univ. of Arizona, Tucson, AZ (United States)
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
The Huesemann Algae Biomass Growth (HABG) model predicts microalgae biomass growth in outdoor raceways as a function of water temperature and incident light intensity. The model over-predicted growth in several Regional Algal Feedstock Testbed (RAFT) experiments. Inspection of the culture conditions suggested that salinity stress, nutrient limitation, and shading reduced growth, which were not included in the original model. Laboratory experiments were carried out to measure growth response of S. obliquus to high salinity and limited nitrogen. In addition, the shading effect was estimated based on raceway geometry, solar angle, albedo and measured light intensity data. In this study, the improvement of model performance is presented step by step as each growth limiting factor is incorporated into the model. The new salinity, shanding, and nutrient stress factors remove most of the over-prediction of the original model. Comparison of the model with observed data indicated that ignoring the lag phase also resulted in overprediction. Delaying the start of the simulation until the end of the lag phase and inclusion of stress factors lowered model inaccuracy from 90% over-prediction to within ±10% in six out of seven batches.
- Research Organization:
- Univ. of Arizona, Tucson, AZ (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
- Grant/Contract Number:
- EE0006269
- OSTI ID:
- 1581773
- Alternate ID(s):
- OSTI ID: 1637162
OSTI ID: 1492710
- Journal Information:
- Algal Research, Journal Name: Algal Research Journal Issue: C Vol. 35; ISSN 2211-9264
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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