Modeling of the Crossing Point Temperature Phenomenon in the Low-temperature Oxidation of Coal

Saleh, Muksin; Muharram, Yuswan; Nugroho, Yulianto Sulistyo

doi:10.14716/ijtech.v8i1.4488

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…The development of numerical studies related to spontaneous coal fires has entered the domain of CFDs (Taraba et al, 2014) and multiphysics simulations (Thabari et al, 2021;Saleh et al, 2017). Large-scale simulations with stockpile conditions exposed to prolonged ambient thermal exposure have been done before ( Zhang et al, 2016;Taraba et al, 2014,).…”

Section: Introductionmentioning

confidence: 99%

Modeling of Coal Spontaneous Fire in A Large-Scale Stockpile

Thabari¹,

Auzani²,

Nirbito³

et al. 2023

IJTech

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The increasing need for energy consumption has resulted in the use of energy sources in coal continuing to increase. The transportation and distribution activities of coal also cause the pile to be exposed to heat when it is in a pile. Due to the kinetic characteristics of low-rank coal, the pile is very susceptible to spontaneous fire processes. Of course, this spontaneous fire phenomenon harms the safety and economic aspects of the coal pile. This study aims to model finite elements using Multiphysics simulation to determine the effect of the relative humidity of the pile on the temperature distribution of large-scale coal piles. Thus, handling methods and things that must be considered in storing and transporting coal piles can be formulated. Thermal phenomena modelling in coal piles is modeled using COMSOL Multiphysics software. The simulation is carried out by varying relative humidity of the environmental conditions (ambient). The simulation results show that this parameter can change the level of vulnerability of the pile to burn at an earlier time.

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Section: Introductionmentioning

confidence: 99%

Modeling of Coal Spontaneous Fire in A Large-Scale Stockpile

Thabari¹,

Auzani²,

Nirbito³

et al. 2023

IJTech

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“…The modeling was carried out using COMSOL Multiphysics. The modeling of coal selfheating using COMSOL had been done previously to determine the characteristics of its spontaneous combustion by modeling the heat distribution of the coal when heated [11][12][13]. This study presents the effect of the heat exchanger surface area by varying the coil geometry.…”

Section: Introductionmentioning

confidence: 99%

Modeling on the Effect of Heat Exchanger Submersion on Controlling Spontaneous Combustion in A Coal Pile

Thabari

Supit

Nirbito

et al. 2021

ARFMTS

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Spontaneous combustion of coal has been well-known as a problem faced by coal industries, especially in storing and trans-shipping processes. The negative impacts of this phenomenon have led to several hazardous incidents and degrading product quality. Several methods have been researched to minimize the impacts; one of the proposed ways is immersing heat exchangers inside the coal stockpile. An experiment was conducted to analyze the cooling effect of an immersed simple heat exchanger made of a copper coil. By varying the number of windings, the experiment showed a significant decrease in pile temperature due to the immersed heat exchanger. This work continues exploring the possibility of applying the method by observing and analyzing the simulation model. COMSOL Multiphysics was used to model the physics phenomena that occur within the coal reactor. The effect of the heat exchanger surface area was studied from the model to observe the heat propagation within the coal reactor. The vast reach of heat propagation from the heat exchanger through the coal pile on the simulation was promisingly showing that this method was useful to limit the occurrence of spontaneous fire in coal piles.

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“…If it has become dry, the peat that was originally hydrophilic becomes hydrophobic (water-repellent, not easily penetrated by water) (Valat et al, 1991;Murtilaksono et al, 2016;Perdana et al, 2018). In such conditions, peat is highly flammable, and when burning smoldering combustion in the peat, biomass and low-rank coal piles can continue for a long time and be difficult to extinguish (Saleh et al, 2017). Peat fire events originate from peatland conditions that have become dry, with the highest moisture content that can burn is approximately 250% (dry base) (Rein et al, 2008) or 150% (Prat-Guitart et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Drying Kinetics of Indonesian Peat

Palamba¹,

Ramadhan²,

Pamitran³

et al. 2018

IJTech

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Indonesia has the largest peatland area in the tropical region, situated mainly in Sumatra, Kalimantan and Papua. Peat is an organic substance which is highly combustible in dry conditions; dried peat can burn easily and spread vertically and laterally along peat layers. In Indonesia, peat fires have often occurred in recent decades. Besides being influenced by the amount of organic content, smoldering peat fires are also effected by the drying rate, pyrolysis, and heterogeneous oxidation on the peat surfaces. In contrast to flaming combustion, which have been widely studied, smoldering peat fires remain little understood. To date, the major peat fire-related publications concern the pyrolysis and combustion stages. The contribution of the drying kinetics of peat in the peat fire phenomenon is important, as this could provide complete understanding of the peat fire process. The objective of this paper is to make an isothermal drying kinetics analysis of peat. Peat samples were taken from various locations in Indonesia with the largest peat distribution, namely South Sumatra, Central Kalimantan and Papua. An isothermal test was conducted using a Shimadzu MOC63u Moisture Balance. At certain interval times, the weight of the specimen was measured, until it reached a constant weight of less than a 0.05% change in moisture content. Isothermal analysis was conducted for each peat sample at temperatures of 60, 70, 80, 90, 100, and 110 o C. The results show that the activation energies from the isothermal measurement test were 24.97, 25.08, and 30.11 kJ/mole for Papuan, South Sumatran and Central Kalimantan peat, respectively.

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Modeling of the Crossing Point Temperature Phenomenon in the Low-temperature Oxidation of Coal

Cited by 4 publications

References 15 publications

Modeling of Coal Spontaneous Fire in A Large-Scale Stockpile

Modeling of Coal Spontaneous Fire in A Large-Scale Stockpile

Modeling on the Effect of Heat Exchanger Submersion on Controlling Spontaneous Combustion in A Coal Pile

Drying Kinetics of Indonesian Peat

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