Energy production via extracted lipids from microalgae has emerged as a promising alternative to fossil fuels. To optimize microalgae biomass production in photobioreactors, identification of optimal operating conditions, optimization of the microalgae production processes, and quantification of fundamental biochemical responses to the environmental factors are the most significant challenges. These need to be addressed for microalgae biomass productions to become economically feasible. For that, this study developed a mechanistic model of microalgal lipid production with respect to environmental and growth conditions, such as photosynthetic photon flux density (PPFFD), essential nutrients, temperature, and CO2 availability. The main objective of this mechanistic model was to identify nutrient and light conditions that optimize the lipid synthesis in flat-plate photobioreactors with metal halide lamps. In this model, mass balance, quantum mechanics, and soichiometry were taken into account to simulate microalgae biomass production and chemical conversion of light energy into lipids. Mathematical expressions of various fundamental biological and physiological processes governing lipid productivity were determined and integrated into the model to study their complex interactions and to predict biomass, protein, carbohydrate, and lipid productivities. Simulations were compared with actual data for Nannochloropsis salina culture grown the four automated and controlled environment photobioreactors (FACE 4) located at Texas Agrilife Research Center for model calibration and validation.
|Advisor:||Benson, Barbara C., Gang, Daniel D.|
|Commitee:||Dufreche, Stephen, Fernandez, Carlos J., Habib, Emad|
|School:||University of Louisiana at Lafayette|
|School Location:||United States -- Louisiana|
|Source:||MAI 52/06M(E), Masters Abstracts International|
|Keywords:||Flat-plate photobioreactor, Growth kinetics, Light dynamics, Lipid production, Microalgae|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be