Combined effects of yaw and tilt angles of separated overfire air on the combustion characteristics in a 1,000 MW coal-fired boiler: A numerical study

Wei, Jin; Geng, Chamin; Wang, Ya’ou; Ma, Huan; Dong, Yao‐Rong; Si, Fengqi

doi:10.1007/s11814-021-0745-0

Cited by 8 publications

(3 citation statements)

References 46 publications

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“…Based on CFD simulations results, the relationships between the temperature distribution and operating parameters are analyzed. Accordingly, the influence of different parameters on the combustion process can be analyzed, including the boiler load ( Xu, Azevedo & Carvalho, 2001 ; Laubscher & Rousseau, 2019 ), burner arrangement and tilt angle ( Choi et al, 2020 ; Tan et al, 2017 ), separated over-fire air (SOFA) ratio and SOFA location ( Ma et al, 2015 ), yaw and tilt angles ( Jin et al, 2021 ), distribution modes [11], secondary air boundary conditions ( Zadravec, Rajh & Kokalj, 2022 ), and air staging combustion ( Zhang et al, 2015 ; Wang & Zhou, 2020 ). With the development of new sources of energy and deep peak-load regulations, it is necessary to modify conventional thermal power units to work under ultra-low loads.…”

Section: Introductionmentioning

confidence: 99%

Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine

Zhao

Cao

et al. 2023

PeerJ Computer Science

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In this article, a data-driven model based on the incremental deep extreme learning machine (IDELM) algorithm is proposed to predict the temperature distribution in the furnace. To this end, computational fluid dynamics (CFD) simulations are carried out first to get temperature distributions under typical working conditions. Based on the air distribution mode, the simulation results are divided into six subclasses. Then the K-means clustering method is applied to find out the benchmark working condition of each subclass. Moreover, the random sampling method is used to extract samples to reduce computational complexity. Modeling inputs are selected according to the CFD boundary conditions and combustion mechanisms, and data sets are reconstructed based on the increments of each actual working condition from the benchmark working condition. Finally, an IDBN-based prediction model is built in each subclass. The experimental results show that the IDBN-based model has a promising predictive ability with less than 11% symmetric mean absolute percentage error.

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Section: Introductionmentioning

confidence: 99%

Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine

Zhao

Cao

et al. 2023

PeerJ Computer Science

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“…means that people must face the serious threat of global warming, thus accelerating people's demand for clean energy and other non-fossil energy. The Paris climate agreement requires that the emissions of CO 2 and other greenhouse gases should be close to zero by 2100 [1][2][3][4]. However, at this stage, the energy structure is still dominated by coal, and other clean energy sources such as natural gas can only be used as auxiliary energy due to high prices and imperfect basic transportation facilities.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, with the increasing improvement of China's environmental protection standards, the limits on NO x emission values in the Beijing-Tianjin-Hebei region are becoming more and more stringent [9]. The NO x emission value of new boilers in the mentioned region from April 2017 should not be higher than 30 mg/Nm 3 . Although natural gas itself is a clean fuel, its use in gas-fired boilers requires Energies 2023, 16, 7409 2 of 28 the consideration of low NO x emissions.…”

Section: Introductionmentioning

confidence: 99%

Research on Full Premixed Combustion and Emission Characteristics of Non-Electric Gas Boiler

Shi,

Wang

2023

Energies

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NOx has become one of the main culprits causing the global greenhouse effect, and excessive emissions of NOx can also cause some common diseases in humans. The denitrification of power plant boilers has been 100% popularized, and their denitrification efficiency has reached national and local environmental requirements (such as Selective Catalytic Reduction, SCR). However, small gas boilers, due to their use of relatively clean fuels, have relatively low NOx emissions. But, local environmental protection departments have weak supervision of small clean fuel boilers, and these equipment generally lack specialized denitrification equipment, resulting in NOx emissions still not meeting standards. In addition, there are many small gas boilers, resulting in high total emissions. The fully premixed burner of a small gas boiler has the effect of suppressing NOx production during combustion. This study designed a surface porous burner with different combustion intensities at different positions. The experimental results and numerical calculations show that for horizontal combustion, the burner has different intake rates at different axial positions, enabling uniform combustion throughout the entire furnace, with NOx emissions below 30 mg/Nm3. The numerical simulation results show that the NOx emissions are 26.6 mg/m3. The calculated results are in good agreement with the actual situation. The generation of NOx is mainly thermal, with a maximum error of 15.4% between the calculated and experimental values. The difference between the calculated value of O and the experimental one is 5.1%. It can be seen that numerical simulation has considerable accuracy.

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Thermal regeneration characteristics of titanium isopropoxide-modified TiO2 for the removal of environmentally hazardous NOx in iron ore sintering process

Jung

Kim

Jeong

et al. 2023

Korean J. Chem. Eng.

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Combined effects of yaw and tilt angles of separated overfire air on the combustion characteristics in a 1,000 MW coal-fired boiler: A numerical study

Cited by 8 publications

References 46 publications

Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine

Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine

Research on Full Premixed Combustion and Emission Characteristics of Non-Electric Gas Boiler

Thermal regeneration characteristics of titanium isopropoxide-modified TiO2 for the removal of environmentally hazardous NOx in iron ore sintering process

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