Publication Date
5-2022
Date of Final Oral Examination (Defense)
11-11-2021
Type of Culminating Activity
Dissertation
Degree Title
Doctor of Philosophy in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Supervisory Committee Chair
Elisa H. Barney Smith, Ph.D
Supervisory Committee Member
William A. Smith
Supervisory Committee Member
Joshua J. Kane, Ph.D
Supervisory Committee Member
Jennifer Smith, Ph.D
Supervisory Committee Member
Nader Rafla, Ph.D
Supervisory Committee Member
Bryon Donohoe, Ph.D.
Abstract
Increasing demand, limited supply, and the impact on the environment raise significant concerns about the consumption of fossil fuels. Because of this, global economies are facing two significant energy challenges: i) securing the supply of reliable and affordable energy and ii) achieving the transformation to a low-carbon, high-efficiency, and sustainable energy system. Recently, there has been growing interest in developing portable transportation fuels from biomass in order to reduce the petroleum consumption in the transportation sector - a major contributor to greenhouse gas emission. A cost-effective conversion process to produce biofuels from lignocellulosic biomass material relies not just on the material quality, but also on the biorefinery’s ability to measure the quality of the source biomass. The quality of the feedstock is crucial for a commercially viable conversion platform. This research mainly focuses on developing sensing techniques using 3D X-ray imaging to study quality factors like material composition, ash content and moisture content which affect the conversion efficiency, equipment wear, and product yield in the bioethanol production in a real-time or near real-time basis.
DOI
https://doi.org/10.18122/td.1935.boisestate
Recommended Citation
Kancharla, Rahul Reddy, "Rapid, Reliable Tissue Fractionation Algorithm for Commercial Scale Biorefineries" (2022). Boise State University Theses and Dissertations. 1935.
https://doi.org/10.18122/td.1935.boisestate