Authors :
Bello A; Mohammed A; Abdullahi A; Onipede E.A
Volume/Issue :
Volume 7 - 2022, Issue 8 - August
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3dOzl9p
DOI :
https://doi.org/10.5281/zenodo.7114901
Abstract :
Recent attractions toward biochar production
centered on its wide applications in this 21st century.
Advocate for green environment and strategy for
mitigating global warming require appreciable reduction
in the concentration of carbon dioxides present in the
atmosphere. Biochar, which is the solid product obtained
from the carbonization of biomass can sequesters carbon
in a stable carbon pool. In addition, high heating value
and low emissions make biochar as the most suitable
substitute for solid fossil fuels. In the context of biochar
production, slow pyrolysis was identified most
advantageously. However, the distribution, property and
the quality of the resultant pyrolysis products are
dependent on the type of feed stock and pyrolysis
conditions under consideration which includes
temperature, particle size, residence time and flow rate.
In order to increase the yield of desired product and to
maintain the products quality consistently, the pyrolysis
process was optimized.This is considered one of the best
quantitative tools in decision making during pyrolysis
experiment. The goal was to maximize the biochar
production while keeping all others within their
constraints (bio-oil and biogas minimized). The
computational software (Design Expert version 12.0)
adopted for the optimization purpose divided the coded
factor into low, mid and upper points corresponding to -
1, 0 and +1 languages as understood by computer.
Temperature had its points as 300, 450 and 600 oC, flow
rates were 0.5, 1.75 and 3L/mins, particle size 0.5, 1.75
and 3mm, residence time 10, 35 and 60mins and kaolin 5,
17.5 and 30%. After 46 runs, the program delivered
model equations for the production of biochar and other
co-products. Ultimately, after the optimization process,
the optimum pyrolysis conditions for the biochar
production were identified and experimented which
yielded favorable results.
Recent attractions toward biochar production
centered on its wide applications in this 21st century.
Advocate for green environment and strategy for
mitigating global warming require appreciable reduction
in the concentration of carbon dioxides present in the
atmosphere. Biochar, which is the solid product obtained
from the carbonization of biomass can sequesters carbon
in a stable carbon pool. In addition, high heating value
and low emissions make biochar as the most suitable
substitute for solid fossil fuels. In the context of biochar
production, slow pyrolysis was identified most
advantageously. However, the distribution, property and
the quality of the resultant pyrolysis products are
dependent on the type of feed stock and pyrolysis
conditions under consideration which includes
temperature, particle size, residence time and flow rate.
In order to increase the yield of desired product and to
maintain the products quality consistently, the pyrolysis
process was optimized.This is considered one of the best
quantitative tools in decision making during pyrolysis
experiment. The goal was to maximize the biochar
production while keeping all others within their
constraints (bio-oil and biogas minimized). The
computational software (Design Expert version 12.0)
adopted for the optimization purpose divided the coded
factor into low, mid and upper points corresponding to -
1, 0 and +1 languages as understood by computer.
Temperature had its points as 300, 450 and 600 oC, flow
rates were 0.5, 1.75 and 3L/mins, particle size 0.5, 1.75
and 3mm, residence time 10, 35 and 60mins and kaolin 5,
17.5 and 30%. After 46 runs, the program delivered
model equations for the production of biochar and other
co-products. Ultimately, after the optimization process,
the optimum pyrolysis conditions for the biochar
production were identified and experimented which
yielded favorable results.
