Online monitoring of furnace exit gas temperature in power plants

Zhang, Shiping; Shen, Guoqing; An, Liansuo

doi:10.1016/j.applthermaleng.2018.11.004

Cited by 24 publications

(17 citation statements)

References 13 publications

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“…previous study [4,9]. As such, researchers have come out with an aggregate score for slagging indices by referring to the base acid ratio index from previous studies [3,13]. An acid base ratio of lower than 0.6 poses a low risk for the formation of slags, while higher risk is posed by coal with ratio that approaches value of 1.0.…”

Section: Discussionmentioning

confidence: 99%

“…The suitable HGI for this plant is between 40 to 50. From the coal analysis and specification, the formula was applied in measuring the base oxide, acid axide and base acid ratio for each type of coal [3,13].…”

Section: Figure 3 Schematic Diagram Process For Thermal Coal Fired Power Plantmentioning

confidence: 99%

“…High temperature fouling at the superheated area is quite minimal and the thickness stays more or less the same throughout the trial burn period. Fouling at the second pass is very minimal, as induced draught fan suction doesn't impact much toward its formation [3,12,13].…”

Section: Physical Inspection and Observationmentioning

confidence: 99%

“…In fact, coal is selected by most of the Asian country due to cheaper price as compared to natural gas and distillate. According to Zhang et al [3], coal is an organic sedimentary rock that forms from the accumulation and preservation of plant materials, usually in a swamp environment. Coal is a combustible rock and, along with oil and natural gas, it is one of the three most important fossil fuels [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the deformation mechanism, the accumulated ash is defined as slagging and fouling. The formation of molten ash with partial fused deposits on the furnace walls of the boiler is namely defined as slagging [3].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Study on Bituminous Coal Base Acid Ratio to the Slagging Factor at Large Scale Boiler

Samsudin¹,

Aziz²,

Hairuddin³

et al. 2021

IJHT

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Different types of coal have different characteristics and performances. In thermal coal plant, deposition of coal ash inside the furnace causes slag formation inside the boiler rear path and consequently reduces the heat transfer process and boiler efficiency. Besides, accumulation of ash on the boiler tube surfaces form layers of slags and blocks the flue gas flow out of the boiler. Therefore, the purpose of this study is to investigate the relationship between sub-bituminous coal base acid ratio towards the heat transfer process inside large-scale boilers. The base acid ratio for sub-bituminous coal is measured before firing inside large-scale boiler of studied the thermal plant which has a generation capacity of 700 MW. This study found correlation between high furnace rear path temperature (FRPT) that is observed to be above 800℃, with the build up of ash accumulation inside the boiler, for the studied coal. Thus, a high base acid ratio causes the accumulation of coal ash, thus reducing the heat transfer process which results in high FRPT of the boiler. Therefore, it proves that a base acid ratio is an indicator for coal performance during firing inside the boiler.

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Section: Discussionmentioning

confidence: 99%

Section: Figure 3 Schematic Diagram Process For Thermal Coal Fired Power Plantmentioning

confidence: 99%

Section: Physical Inspection and Observationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Study on Bituminous Coal Base Acid Ratio to the Slagging Factor at Large Scale Boiler

Samsudin¹,

Aziz²,

Hairuddin³

et al. 2021

IJHT

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show abstract

Soot blowing optimization for platen superheater of coal‐fired power plant boiler based on heat loss analysis

Huang

Yue

et al. 2022

Asia-Pacific J Chem Eng

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In the power plant boiler, the problems about the deterioration of the heat transfer performance of heat exchangers and the waste of steam caused by the inappropriate soot blowing operations need to be solved. In this paper, for the platen superheater, the model for detecting the ash fouling was established based on the heat loss analysis and the GA-BP neural networks. The detection results have validated that the heat loss caused by fouling that was set as the detection indicator can reflect the actual fouling trend of the platen superheater. In addition, the optimization model for soot blowing was built by the model of maximum net heat profit per unit time and the proposed dynamic judgment method. The optimization results have shown that the heat transfer performance can be boosted significantly by the optimization model. Setting the cumulative increment of heat loss as the judging variable was much more reliable and can realize the timely modification of the optimum moment and duration of the soot blowing according to the actual working condition.

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Numerical and experimental study on temperature field reconstruction based on acoustic tomography

Kong

Jiang

Liu

et al. 2020

Applied Thermal Engineering

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Online monitoring of furnace exit gas temperature in power plants

Cited by 24 publications

References 13 publications

A Study on Bituminous Coal Base Acid Ratio to the Slagging Factor at Large Scale Boiler

A Study on Bituminous Coal Base Acid Ratio to the Slagging Factor at Large Scale Boiler

Soot blowing optimization for platen superheater of coal‐fired power plant boiler based on heat loss analysis

Numerical and experimental study on temperature field reconstruction based on acoustic tomography

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