Multi-objective operation optimization of spent coffee ground torrefaction for carbon-neutral biochar production

Chen, Wei-Hsin and Lee, Kuan-Ting and Ho, Kuan-Yu and Culaba, Alvin B. and Ashokkumar, Veeramuthu and Juan, Joon Ching (2023) Multi-objective operation optimization of spent coffee ground torrefaction for carbon-neutral biochar production. Bioresource Technology, 370. ISSN 0960-8524, DOI https://doi.org/10.1016/j.biortech.2023.128584.

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Abstract

Many energy-intensive processes are employed to enhance biomass fuel properties to overcome the difficulties in utilizing biomass as fuel. Therefore, energy conservation during these processes is crucial for realizing a circular bioeconomy. This study develops a newly devised method to evaluate SCG biochars' higher heating value (HHV) and predict moisture content from power consumption. It is found that the increasing rates of HHV immediately follow decreases in power consumption, which could be used to determine the pretreatment time for energy conservation. The non-dominated sorting genetic algorithm II (NSGA-II) maximizes SCG biochar's HHV while minimizing energy consumption. The results show that producing SCG biochar with 23.98 MJ.kg(-1) HHV requires 20.042 MJ.kg(-1), using a torrefaction temperature of 244 degrees C and torrefaction time of 27 min and 43 sec. Every kilogram of biochar with an energy yield of 85.93 % is estimated to cost NT$ 12.21.

Item Type: Article
Funders: National Science and Technology Council, Taiwan, R.O.C. (Grant No: MOST 109-2221-E-006-040-MY3, MOST 110-2622-E- 006-001-CC1 & MOST 110-3116-F-006-003-)
Uncontrolled Keywords: Torrefaction and biochar; Multi-objective optimization; Power consumption; Spent coffee grounds (SCGs); Non-dominated sorting genetic algorithm II (NSGA-II)
Subjects: Q Science > QR Microbiology
S Agriculture > S Agriculture (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Nanotechnology & Catalysis Research Centre
Depositing User: Ms Zaharah Ramly
Date Deposited: 30 Nov 2023 07:56
Last Modified: 30 Nov 2023 07:56
URI: http://eprints.um.edu.my/id/eprint/38870

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