Pyrolysis study of coconut leaf’s biomass using thermogravimetric analysis

Rajendra, I Made; Winaya, I Nyoman Suprapta; Ghurri, Ainul; Wirawan, I Ketut Gede

doi:10.1088/1757-899x/539/1/012017

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…Thermal parameters of thermogravimetric and derivative thermogravimetric (TG/DTG) analysis can be used to predict key features of many materials, including biomass particles. It has been shown to accurately describe the pyrolysis kinetics of coconut biomass particles, 21 the char and fixed carbon yields from various wood biomass particles, 22 and the co‐pyrolysis behavior of brown coal and wheat straw biomass particles 23 . The applications of TG/DTG analysis also extends well beyond biomass particles.…”

Section: Introductionmentioning

confidence: 99%

Proxy quality control of biomass particles using thermogravimetric analysis and Gaussian process regression models

Watts

Potter²,

Mohan³

et al. 2023

Biofuels Bioprod Bioref

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The temperature experienced by reactants during preparation in a reactor is a key component in determining the yield and homogeneity of usable chemical products such as biomass particles. Thermocouples with sensors can be used to monitor spatial temperature gradients within reactors but these sensors are often too expensive and/or invasive. The present work proposes a strategy to identify optimal machine learning models to infer the maximum effective temperature experienced by particles during oxidative biomass torrefaction using key thermochemical combustion parameters. The maximum rate of weight loss, the corresponding temperature, and fixed carbon content on a dry‐ash‐free basis are used as literature‐based predictor variables obtained from thermogravimetric analysis. The evaluation of 24 machine‐learning models using the standard tenfold cross‐validation method suggests that the exponential Gaussian process regression (GPR) model is the most effective, followed by other GPR models. These high‐performing GPR models were also utilized to predict the effective preparation temperature distribution of reactor‐produced biomass particles under eight conditions of varying residence time and air‐to‐biomass ratio. The effective preparation temperature and residence time of individual biomass particles were then encoded into the torrefaction severity factor and used to estimate the energy yield of the reactor output as a novel quality control method.

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Section: Introductionmentioning

confidence: 99%

Proxy quality control of biomass particles using thermogravimetric analysis and Gaussian process regression models

Watts

Potter²,

Mohan³

et al. 2023

Biofuels Bioprod Bioref

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show abstract

“…Regarding product distribution at different operating conditions. Whilst recently the pyrolysis of terrestrial biomass has received a great deal of attention at various experimental conditions from rice husk and rice straw [9], palm [10], orange peel [11], and coconut leaf's [12] Research on pyrolysis oil has begun to be developed, especially its characteristics. Pyrolysis gases from agricultural waste were investigated at different temperatures.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Pyrolysis Temperature on the Heat Value of Pyro-Oil Using Plastic Waste

Putrawan¹

2022

LOGIC

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This work primarily investigated the pyrolysis of smalls scale fixed bed reactor using plastic wastes type LDPE during slow pyrolysis (non-isothermal) in a batch reactor to assess the effect of different temperatures on the product yield and heating value. The calorie bomb of Parr Instrument was performed to investigated heating value of pyro-oil product at different temperatures 250, 275, 300oC. The pyro-oil obtained at higher product yield of 300 oC while the increased temperature will affect to increase the product yield of pyro-oil. The highest heating value of pyro-oil produced at a reactor temperature of 300oC is 9,769.78 cal/gr. From the results of pyro-oil using plastic waste type LDPE, the characteristics of the heating value are equivalent to diesel fuel.

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“…EBT development needs serious attention related to the target of the EBT mix of 23% by 2025 [2]. Researchers have identified biomass as a sustainable, renewable, and environmentally friendly energy source [3].…”

Section: Introductionmentioning

confidence: 99%