Class
Article
College
College of Science
Department
Mathematics and Statistics Department
Faculty Mentor
Jia Zhao
Presentation Type
Poster Presentation
Abstract
Microalgal biofilms are comprised of a syntrophic consortium of microalgae and other microorganisms embedded within an extracellular matrix. Despite significant processes in the application of microalgal biofilms in wastewater treatment, mechanistic understanding and optimization of microalgal biomass yield and productivity under environmental constraints is still lacking. This paper identifies theoretical insights on this challenging biological problem by leveraging novel mathematical and computational tools. In particular, this is a systematic parameter study in utilizing a computational mathematical model to advance the understanding of microalgal biofilm growth kinetics under environmental constraints. Moreover, the design of algae biofilm reactors for optimal biomass yield and productivity in wastewater treatment under different environments is explored. The proposed model could be further calibrated to generate reliable predictions that can improve the design, operation, and management of microalgal biofilms in wastewater treatment. Presentation Time: Wednesday, 2-3 p.m.
Location
Logan, UT
Start Date
4-10-2021 12:00 AM
Included in
Optimal Control of Algae Biofilm Growth in Wastewater Treatment Using Computational Mathematical Models
Logan, UT
Microalgal biofilms are comprised of a syntrophic consortium of microalgae and other microorganisms embedded within an extracellular matrix. Despite significant processes in the application of microalgal biofilms in wastewater treatment, mechanistic understanding and optimization of microalgal biomass yield and productivity under environmental constraints is still lacking. This paper identifies theoretical insights on this challenging biological problem by leveraging novel mathematical and computational tools. In particular, this is a systematic parameter study in utilizing a computational mathematical model to advance the understanding of microalgal biofilm growth kinetics under environmental constraints. Moreover, the design of algae biofilm reactors for optimal biomass yield and productivity in wastewater treatment under different environments is explored. The proposed model could be further calibrated to generate reliable predictions that can improve the design, operation, and management of microalgal biofilms in wastewater treatment. Presentation Time: Wednesday, 2-3 p.m.