Modeling of the Unburned Carbon in Fly Ash

Yan, Weiping; Jun, Li

doi:10.4236/epe.2009.12014

Cited by 11 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Enerji santrallerinde külde yanmamış karbon farklı miktarlarda olabilmektedir. Uçucu küldeki yanmamış karbon, termik santrallerde yakma verimini yansıtan önemli bir veridir [2]. Yanmamış karbon miktarları uçucu küllerde genelde daha fazladır ancak bu miktar yakma rejimine bağlı değişim göstermektedir.…”

Section: Introductionunclassified

Termik Santral Küllerinde Yanmamış Karbonun Pulverize Kömür Boyut Dağılımı ve Uçucu Madde İçeriği ile İlişkisi

Bilen

Yılmaz

2020

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

ÖzBu çalışmada, iki termik santral özelinde uçucu küller yanmamış karbon açısından incelenmiş ve elde edilen analiz sonuçları kömürün kısa analiz sonuçlarıyla ve kömürün öğütülme sonrası boyut parametreleriyle karşılaştırılmıştır. İncelenen ilk santral için, yanma kazanının aynı şartlar altında farklı kömür örnekleriyle çalıştığı bir süreç incelenirse ve bu süreçte küllerde farklı değerlerde yanmamış karbon tespit edilirse, bunun nedeninin daha çok kömüre ait nedenler olduğu düşünülebilir. Bu çalışmada, iki farklı santral değerlendirilmiş olup, 17 farklı uçucu madde içeriği olan kömür kullanan birinci santralde gözlemlenen 17 farklı yanmamış karbon değerinin ilişkisi kurulmuş ve sonuçlar kömürün uçucu madde içeriğinin yanmamış karbon üzerinde oldukça etkili olduğunu göstermiştir. İkinci santralde ise pulverize kömür örneklerinin boyut dağılımları incelenmiş ve boyut parametreleriyle yanmamış karbon arasındaki ilişkiler belirlenmiştir. Kömür boyut dağılımına ait D32 boyut parametresinin yanmamış karbon ile ilişkisinin anlamlı olduğu sonucuna varılmıştır.

show abstract

Section: Introductionunclassified

Termik Santral Küllerinde Yanmamış Karbonun Pulverize Kömür Boyut Dağılımı ve Uçucu Madde İçeriği ile İlişkisi

Bilen

Yılmaz

2020

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

show abstract

“…The presence of unburned carbon in the residues of the combustion process confirms the loss of fuel and reduced degree of efficiency of the process; in addition, it may also prevent the use of ashes (Hower et al, 2017). The amount of unburned coal depends, to a large extent, on the combustion technology (boiler type, temperature and pressure in the boiler, the boiler load, the air to coal ratio) (Yan and Li, 2009;Bartoňová, 2015;Dindarloo and Hower, 2015;Hower et al, 2017). In the case of the most common pulverized boilers, the amount of unburned carbon in the ashes ranges from 2 to 30% depending on technical parameters (Serre and Silcox, 2000).…”

Section: Introductionmentioning

confidence: 99%

Petrographic composition of coals and products of coal combustion from the selected combined heat and power plants (CHP) and heating plants in Upper Silesia, Poland

Mirkowski

Jelonek

2019

International Journal of Coal Geology

View full text Add to dashboard Cite

Coal samples and by-products resulting from the combustion process collected from seven combined heat and power (CHP) plants and heating plants located in Upper Silesia, southern Poland, were subjected to petrographic analysis. The coal used as a fuel in these plants was collected from mines of the Upper Silesian Coal Basin; it occurs in a wide range of coalification and has variable quality parameters. The coal is dominated by macerals from the vitrinite group; however, a high content of macerals from the inertinite group has also been observed. Based on petrographic analysis of ash and slags, a highly variable mineral matter content, confirming variable combustion efficiency, has been found. In the case of samples collected from large CHP plants with pulverized and fluidized bed boilers, the mineral matter content is high. The share of mineral matter in combustion products clearly decreases in the case of smaller power plants and heating plants, especially those using grate boilers. The increased content of unburned coal can be explained by the fact that coals of higher rank are often used as fuels in the mentioned plants. The greatest diversity of char forms can be observed in the case of samples collected from small CHP plants. In the case of three samples of slag, collected from small heating plants using grate boilers, additional presence of coke, thermally altered, and unaltered coal has also been found.

show abstract

“…Best level of unburned carbon estimated to be around 2-5 % [2] from total fly ash. There is few method was tried such as usage on infrared light sensor to measure carbon intensity in fly ash [3], Computational Fluid Dynamic (CFD) analysis [4] and combination of ANN with other method to predict the presence of unburned carbon in fly ash [5,6,7,8]. Thus an intelligent monitoring system was designed to detect and predict the unburned carbon in short period of time.…”

Section: Introductionmentioning

confidence: 99%

Intelligent monitoring system of unburned carbon of fly ash for coal fired power plant boiler

et al. 2017

View full text Add to dashboard Cite

Coal fired power plant becoming preferable power plant type to support electricity demand mainly in Asia due to stable coal price and low maintenance. However, most coal fired plant operator struggle with condition where coal undergo incomplete combustion and produced unburned carbon where can be found in ashes especially in fly ash. Higher percentage of unburned carbon in fly ash reflects the lower efficiency of furnace and contributes to financial loses for plant operators. This problem also leads to technical issues such as slagging and clinkering and further reduces the efficiency of furnace. The plant operator determines the amount of unburned carbon by using conventional method and this proves be a challenge to identify and rectify the problem on day basis due time constraint to obtain results of unburned carbon. Thus in this paper, best Artificial Neural Network model was derived to develop intelligent monitoring system to predict unburned carbon level on more daily basis. By this model, the power producer can predict the unburned carbon level by using data in power plant to predict the unburned carbon level in short period of time.

show abstract

Modeling of the Unburned Carbon in Fly Ash

Cited by 11 publications

References 8 publications

Termik Santral Küllerinde Yanmamış Karbonun Pulverize Kömür Boyut Dağılımı ve Uçucu Madde İçeriği ile İlişkisi

Termik Santral Küllerinde Yanmamış Karbonun Pulverize Kömür Boyut Dağılımı ve Uçucu Madde İçeriği ile İlişkisi

Petrographic composition of coals and products of coal combustion from the selected combined heat and power plants (CHP) and heating plants in Upper Silesia, Poland

Intelligent monitoring system of unburned carbon of fly ash for coal fired power plant boiler

Contact Info

Product

Resources

About