Doctoral Dissertations

Abstract

"Biomass gasification is the greatest potential renewable energy source and will play an important role in the energy mix of the future. To achieve a high quality of produced synthesis gas (syngas) in the gasification system, the syngas cleaning and cooling processes pose challenges. The main objectives of the present work are advancing the knowledge of the gasification process and producing syngas in the studied pilot-scale downdraft biomass gasifier.

A Thermogravimetric analysis (TGA) has been developed and utilized to experimentally investigate the impact of biomass feedstock diversity on the performance of the gasification process of hardwood (HW), softwood (SW) pellets, and refuse-derived fuel (RDF) materials and their blending.

Parameters analysis and optimization of the biomass gasification process in downdraft gasifier using response surface methodology (RSM) has been developed to design the experimental investigations and to predict the system’s optimal operating conditions. The effect of serval gasification parameters such as the type of feedstock, operating temperature, and equivalency on the performance of the gasification process have been evaluated in this work.

Experimental investigations for the biomass gasification performance in a pilot-scale downdraft gasifier with blended feedstocks were carried out. The results discussed the syngas quality, yield and compositions, temperature profile in operating zones, the effect of blending ratio for three types of feedstocks (HW, SW and RDF) and their mixtures on syngas cooling and cleaning processes" -- Abstract, p. iv

Advisor(s)

Smith, Joseph D.

Committee Member(s)

Al-Dahhan, Muthanna H.
Ludlow,, Douglas K.
Patton Luks, Christi L.
Gelles, Gregory M.

Department(s)

Chemical and Biochemical Engineering

Degree Name

Ph. D. in Chemical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2024

Pagination

xiv, 102 pages

Note about bibliography

Includes_bibliographical_references_(pages 35, 56, 78 & 101)

Rights

©2024 Rania Almusafir , All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12368

Electronic OCLC #

1460010081

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