Doctoral Dissertations

Keywords and Phrases

Algal Biotechnology; Artificial Intelligence Integration; Carbon Sequestration; Mass Transfer Optimization; System-of-Systems; Wastewater Remediation

Abstract

The scalability and industrial deployment of algal cultivation systems are limited by suboptimal mass transfer, constraining their effectiveness in carbon capture and wastewater remediation. This research investigated these challenges through integrated optimization methodologies that combine algorithmic frameworks with enhanced bioprocessing techniques to enhance efficiency, economy, and scalability. A System-of-Systems (SoS) meta-architecture was developed using genetic algorithms and fuzzy assessor functions to demonstrate a pathway toward cost reduction. Rigorous mechanical and chemical characterizations were quantitatively analyzed to reveal existing optimization strategies and further evaluated the best strategies to use in enhancing mass transfer for improved biomass yield. The work also integrates artificial intelligence into engineering systems through automation, adaptive control, IoT-integrated sensors, and responsive feedback loops, thereby advancing operational performance.

Machine learning algorithms were employed for predictive modeling of algal growth and membrane-biofilm dynamics. Model development and validation were based on growth data for Chlorella vulgaris applied to simulate performance within rotary substrate photobioreactor (RSPBR) structured to evaluate biomass yield and membrane thickness as influenced by input parameters. These simulations were further supported by mathematical modeling, Delaunay triangulation for membrane analysis and MATLAB-based computational analysis. The findings demonstrate substantial improvements in mass transfer, cost-effectiveness, adaptability, robustness, and scalability for advancing algal biotechnologies in carbon capture, wastewater treatment, and biofuel production.

Advisor(s)

Bayless, David J.

Committee Member(s)

Park, Jonghyun
Mormile, Melanie R.
Yang, Xiaodong
Liang, Zhi

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2025

Journal article titles appearing in thesis/dissertation

Paper I, found on pages 9 - 32 has been Published as Book Chapter in the Conference on Systems Engineering Research Series (Springer).

Paper II, found on pages 33 - 120, has been Published in Algal Research Journal.

Paper III, found on pages 121 – 220, has been published in Algal Research Journal.

Paper IV, found on pages 221 - 292, has been submitted to the Journal of Environmental Technology Reviews.

Paper V, found on pages 293 - 342, is intended for submission to the Journal of Membranes or Scientific Reports.

Pagination

xix, 367 pages

Note about bibliography

Includes_bibliographical_references_(pages 364-365)

Rights

© 2025 Peter Ofuje Obidi , All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12542

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