Decision tree regression model to predict low-rank coal moisture content during convective drying process

2020 ◽  
Vol 40 (8) ◽  
pp. 505-512 ◽  
Author(s):  
Engin Pekel ◽  
Mehmet Cabir Akkoyunlu ◽  
Mustafa Tahir Akkoyunlu ◽  
Saban Pusat
Keyword(s):  
Moisture Content ◽  
Decision Tree ◽  
Regression Model ◽  
Low Rank ◽  
Convective Drying ◽  
Drying Process ◽  
Low Rank Coal ◽  
Tree Regression Model

Fry-Drying Process Simulation and Optimization for Low-Rank Coal

2013 ◽  
Vol 33 (4) ◽  
pp. 149-158
Author(s):  
Dong Hyuk Chun ◽  
Nam Sun Nho ◽  
Sang Do Kim ◽  
Young Joon Rhim ◽  
Ho Kyung Choi ◽  
...  
Keyword(s):  
Process Simulation ◽  
Low Rank ◽  
Drying Process ◽  
Low Rank Coal ◽  
Simulation And Optimization ◽  
Process Simulation And Optimization

scholarly journals Characteristics of low-rank and medium-rank Indonesian coal using the TG-DSC method

2021 ◽  
Vol 882 (1) ◽  
pp. 012031
Author(s):  
Hariana ◽  
A Prismantoko ◽  
H P Putra ◽  
A P Nuryadi ◽  
Sugiarto ◽  
...  
Keyword(s):  
Moisture Content ◽  
Power Plants ◽  
Decisive Role ◽  
Volatile Matter ◽  
Low Rank ◽  
Low Rank Coal ◽  
Heating Value ◽  
Burning Coal ◽  
Indonesian Coal ◽  
Lower Temperature

Abstract Low-rank and medium-rank coal are dominant coal resources in Indonesia. Considering the decisive role of coal in coal-fired power plants, it is crucial to examine the combustion characteristics before burning coal in the boiler. This paper presents the effect of moisture content, heating value, and volatile matter on ignition temperature and burn out of five samples of low-rank coal and five samples of medium-rank coal using TG-DSC analysis which was carried out using LINSEIS High-Pressure STA at atmospheric pressure with an air rate of 25 ml/min and heating rate of 10 °C/min. The investigation results show that low-rank coal with the higher volatile matter has tremendous reactivity and is more flammable, and favours of burning through itself than medium-rank coal. Medium-rank coal has better combustion with short residence time because it has a lower burnout temperature (Tbo) value than low-rank coal. However, medium-rank coal burns more instantly because it has a lower temperature interval than low-rank coal. Medium-rank coal, which has fixed carbon and higher heating value, but lower moisture content, has a higher Rmax value than low-rank coal. In conjunction with these properties, it is crucial to examine the implementation in boilers.

scholarly journals Mathematical description of super-high frequencies drying process of free-running food media in device with combined energy input

2020 ◽  
Vol 175 ◽  
pp. 05021
Author(s):  
Sergey Antipov ◽  
Andrey Klyuchnikov ◽  
Dmitry Kazartsev
Keyword(s):  
Moisture Content ◽  
Heat Input ◽  
High Frequency ◽  
Practical Interest ◽  
Optimal Solution ◽  
Food Products ◽  
Convective Drying ◽  
Drying Process ◽  
High Frequencies ◽  
Free Running

At the present time the maim quantity of free-running food products, including grains, are dried in units with convective method of heat input. To intensify convective drying, general attention is paid to improving the method of moving and mixing the product with drying agent, to guarantee fast and quality drying. The use of high and super-high frequency allows can significantly intensify the drying processes, because the phenomenon of super-high frequencies energy into heat conversion throughout the processed material volume contributes to the most uniform heating of the product, compared to other heat input methods. The optimal solution for drying free-running food products is a combination of convective and high-frequency heat input methods. This combination allows controlling gradients of moisture content and temperature, changing its directions, which significantly affects quality of the resulting dry product. In this regard, combined approach to drying process modeling is of practical interest: on the one hand, there are used analytical solutions, based on physical laws application or phenomenological equations, and, on the other hand, experimentally established a relationship between temperature and moisture content of media, which is considered as a heat and mass transfer characteristic for each material.

scholarly journals Low-rank coal and poly fatty acid distillate characterization as a preparation of coal upgrading palm oil technology

2021 ◽  
Vol 882 (1) ◽  
pp. 012038
Author(s):  
Sihyun Lee ◽  
Jiho Yoo ◽  
Datin Fatia Umar
Keyword(s):  
Fatty Acid ◽  
Moisture Content ◽  
Palm Oil ◽  
Calorific Value ◽  
Low Rank ◽  
Low Rank Coal ◽  
Temperature Oxidation ◽  
Technology Application ◽  
Palm Fatty Acid Distillate ◽  
Fatty Acid Distillate

Abstract The utilization of low-rank coal is restricted by such factors as high moisture content, low heating value, high propensity to low-temperature oxidation, spontaneous combustion, etc. Some coal upgrading technologies to reduce the moisture content have been developed, one of them is coal upgrading palm oil technology using palm fatty acid distillate as an additive to keep the stability of moisture content in the coal after the process. To study the possibility of the upgrading technology application in Indonesia, some studies have been conducted. The study covered coal characterization such as proximate, ultimate and calorific value, palm fatty acid distillate for stabilization of upgraded low-rank coal and coal upgrading by coal upgrading palm oil technology in laboratory scale. By using 7 Indonesian low-rank coals and 4 palm fatty acid distillates, it is confirmed that the coal upgrading palm oil technology is effective to reduce the moisture content and increase the calorific value of low rank coal.

scholarly journals Simulasi pengeringan batu bara muda dengan metode rangkaian pori pada kondisi isotermal

2018 ◽  
Vol 8 (3) ◽  
pp. 80
Author(s):  
Anton Irawan ◽  
Indar Kustiningsih
Keyword(s):  
Moisture Content ◽  
Fluid Velocity ◽  
Pore Network ◽  
Low Rank ◽  
Low Rank Coal ◽  
High Moisture Content ◽  
High Moisture ◽  
Drying Kinetic ◽  
Small Pore ◽  
Coal Drying

Simulation of low rank coal drying with pore network method in isothermal condition.Indonesia has large coal reserve with most of them are low rank coal. Low rank coal has low energy content (< 4,800 kcal/kg) and high moisture content (> 25%). High moisture content of coal will make a problem for coal conversion processing to be a main energy source such as power plant  so that the moisture of coal must be removed from inside of coal. The moisture content in the coal can be removed by drying based on drying kinetic (drying rate). Drying kinetic is influenced by several variables such as hot fluid velocity and temperature, size and pore structure of material. In this model, sample of low rank coal are analyzed to obtain the data of pore size distribution. The size of pore were used 40 and 100 nm, the pore length was 100 nm. Four different pore structures were simulated by pore network modelling. From pore network simulation, the structure with large pore had long time for drying constant period, but the structure with small pore had short time for drying constant period.Keywords: coal, drying, pore network, moisture, vapour diffusion. AbstrakIndonesia merupakan negara yang memiliki cadangan  batubara yang besar yang dapat digunakan sebagai sumber energi utama untuk industri, tetapi batubara yang dimiliki oleh Indonesia sebagian besar merupakan batubara muda yang memiliki kandungan energi yang rendah (< 4.800 kcal/kg) serta kandungan air yang tinggi (> 25%). Kandungan air batubara yang tinggi menyulitkan dalam proses konversi batubara untuk dijadikan sebagai sumber energi utama seperti pada sistem tenaga. Kandungan air dalam batubara dapat dikurangi dengan pengeringan dengan mengamati data kinetika pengeringan berupa laju pengeringan. Laju pengeringan batubara dipengaruhi oleh beberapa variabel antara lain kecepatan fluida panas, temperatur fluida panas, ukuran partikel yang dikeringkan serta struktur pori-pori dari partikel yang dikeringkan. Beberapa sampel batubara muda dianalisis strukturnya untuk mendapatkan data distribusi pori. Ukuran pori yang digunakan terdiri atas 2 macam yaitu 40 dan 100 nm serta panjang pori 500 nm.  Empat macam struktur pori disimulasikan dengan metode rangkaian pori. Dari simulasi rangkaian pori memperlihatkan bahwa ukuran pori yang besar akan memberikan waktu yang lebih lama untuk laju pengeringan tetap sedangkan struktur pori dengan  ukuran pori  kecil akan memberikan laju pengeringan tetap yang lebih pendek waktunya.Kata Kunci: batubara, pengeringan, rangkaian pori, kandungan air, difusi uap.

scholarly journals Impact of thin layer drying on bioactive compounds of jaboticaba (Plinia cauliflora) peel

2018 ◽  
Author(s):  
Karine Machry ◽  
Marcílio Machado Morais ◽  
Gabriela Silveira da Rosa
Keyword(s):  
Moisture Content ◽  
Thin Layer ◽  
Bioactive Compounds ◽  
Fruit Weight ◽  
Convective Drying ◽  
Drying Process ◽  
Thin Layer Drying

Jaboticaba (Plinia cauliflora) is a Brazilian fruit with a high content of anthocyanins compounds. Peel corresponds to 30 % of the fruit weight and it is considerated a residue since just the pulp is used. The aim of this work was to analyze the convective drying process of the jaboticaba peels. Moisture content of dried peels showed a range of 7.17 to 13.26 (% w.b.). The results also reported that jaboticaba peels have high anthocyanins content (fresh: 1162.99 ± 41.35 mg/100g d.b) and it was possible to maintain these compounds even after the drying process (1052 to 1270 mg/100g d.b).Keywords: jaboticaba; peel; drying; residue; anthocyanins.

Estimation of coal moisture content in convective drying process using ANFIS

2016 ◽  
Vol 147 ◽  
pp. 12-17 ◽  
Author(s):  
Saban Pusat ◽  
Mustafa Tahir Akkoyunlu ◽  
Engin Pekel ◽  
Mehmet Cabir Akkoyunlu ◽  
Coşkun Özkan ◽  
...  
Keyword(s):  
Moisture Content ◽  
Convective Drying ◽  
Drying Process

scholarly journals Development of Physical Properties of Apple during Dehydration

2019 ◽  
Author(s):  
Rym Mbarek ◽  
Daoued Mihoubi
Keyword(s):  
Moisture Content ◽  
Physical Properties ◽  
Volume Ratio ◽  
Convective Drying ◽  
Drying Process ◽  
Time Intervals ◽  
Simultaneous Reduction ◽  
Polynomial Curve ◽  
Regular Time ◽  
Porosity Changes

The evolution of physical properties (shrinkage, density and porosity) of cylindrical shaped apple samples (Golden Delicious) during convective drying was investigated. For this purpose, the weight and the dimensions (diameter, height) of apple samples were monitoring at regular time intervals of the drying process. A constant drying rate period was not detected although considering the reduction of the exchange surface area. Apple exhibited a clear anisotropy behavior of the shrinkage coefficients. The volume shrinkage of apple samples showed a linear relationship with moisture content (R2 = 0.996). A theoretical relation between the surface ratio and the volume ratio was determined (R2 = 0.956). During drying process, the apparent density of apples decreased with decrease in moisture content following a second-degree polynomial curve (R2 = 0.991), whereas the true density aggrandized with removal of water. The porosity of apple samples was showed to increase as drying progressed. At the starting of the drying process, the porosity changes resulted from the reduction of the total volume. Then, the porosity changes during drying were found to be a consequence of a loss of water and a simultaneous reduction of gaseous volume.

On the Modeling of Drying Process in an Industrial Tunnel Dryer

2020 ◽  
Vol 400 ◽  
pp. 51-56
Author(s):  
Francisca Valdeiza de Souza Tavares ◽  
Atacy Maciel de Melo Cavalcante ◽  
Maria José de Figueiredo ◽  
Anderson Ferreira Vilela ◽  
Ana Raquel Carmo de Lima ◽  
...  
Keyword(s):  
Moisture Content ◽  
Mass Conservation ◽  
Convective Drying ◽  
Average Moisture Content ◽  
Drying Process ◽  
Governing Equations ◽  
Tunnel Dryer ◽  
Good Concordance ◽  
Volume Method ◽  
Hollow Bricks

This paper aims to study convective drying of industrial hollow bricks in a tunnel dryer. A transient mathematical model based on the heat and mass conservation equations applied to the air and brick was derived and the numerical solution (finite-volume method) of the governing equations is presented. Predicted and experimental data of the average moisture content and the temperature of the product during the drying process are compared and a good concordance was verified. Numerical results inside the bed confirm an almost null difference between the moisture content along the process. Similar behavior was verified to the product temperature. These results confirm an efficient drying process.

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