Numerical simulation of the influence of furnace geometry on its performance in a tangentially fired pulverised-coal supercritical boiler

Sankar, G.; Balasubramanian, K.R.; Dhannina, Chandra Sekhar; Kumar, D. Santhosh

doi:10.1504/pcfd.2022.120280

Cited by 3 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Supercritical tangentially boilers are widely used in coal-fired power plants because of their good flame fullness and high combustion efficiency [20][21][22][23]. Therefore, a 600 MW supercritical tangentially fired boiler was chosen in this study, as shown in Figure 1a.…”

Section: Boiler Description and Mesh Generationmentioning

confidence: 99%

Numerical Study on the Homogeneous Reactions of Mercury in a 600 MW Coal-Fired Utility Boiler

Lyu

Wang

et al. 2022

Energies

View full text Add to dashboard Cite

The homogeneous oxidation of elemental mercury (Hg0) can promote Hg pollution control in coal-fired power plants, while the mechanisms and quantitative contributions of homogeneous reactions in Hg0 oxidation, especially the reactions between Hg and chlorine (Cl), are still unclear. Here, a numerical study on the homogeneous reactions of Hg was conducted within a 600 MW tangentially fired boiler for the first time. A novel Hg sub-model was established by coupling the thermodynamics, reaction kinetics and fluid dynamics. The results showed that the higher Cl content in coal was beneficial to the oxidation of Hg0. The homogeneous reactions of Hg mainly occurred in the vertical flue pass at low temperature. Hg0 was still the dominant Hg-containing species at the boiler exit, and the concentration of mercury chloride (HgCl2) was the highest among the oxidized mercury. When low-Cl coal was fired, the addition of a small amount of chlorine species into the boiler at the burnout area increased the ratio of HgCl2 by over 16 times without causing serious chlorine corrosion problems.

show abstract

Section: Boiler Description and Mesh Generationmentioning

confidence: 99%

Numerical Study on the Homogeneous Reactions of Mercury in a 600 MW Coal-Fired Utility Boiler

Lyu

Wang

et al. 2022

Energies

View full text Add to dashboard Cite

show abstract

Furnace-height FGR location impact of a cascade-arch-firing configuration in ameliorating low-NO combustion and eliminating hopper overheating for a large-scale arch-fired furnace

Chen,

Kuang,

Liu

et al. 2024

Applied Thermal Engineering

View full text Add to dashboard Cite

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Amroun,

Hafid,

Ammi

2022

IJICS

View full text Add to dashboard Cite

One of the applications that machine learning can offer to the world of Engineering and Fluid Mechanics in particular is the calibration of models making it possible to approximate the representation of a particular phenomenon. Indeed, the computational cost generated by some fluid mechanics models pushes scientists to use other models close to the original models but less computationally intensive in order to facilitate their handling. Among the different approaches used: machine learning coupled with some optimization methods and algorithms in order to reduce the computation cost induced. This paper proposes a new framework called OPTI-ENS: a new flexible, optimized and improved method, to calibrate a physical model, called the wake oscillator (WO), which simulates the vibratory behaviors of overhead line conductors. An approximation of a heavy and complex model called the strip theory (ST) model. OPTI-ENS is composed of an ensemble machine learning algorithm (ENS) and an optimization algorithm of the WO model so that the WO model can generate the adequate training data as input to the ENS model. ENS model will therefore take as input the data from the WO model and output the data from the ST model. As a benchmark, a series of Machine learning models have been implemented and tested. The OPTI-ENS algorithm was retained with a best Coefficient of determination (R2 Score) of almost 0.7 and a Root mean square error (RMSE) of 7.57e-09. In addition, this model is approximately 170 times faster (in terms of calculation time) than an ENS model without optimization of the generation of training data by the WO model. This type of approach therefore makes it possible to calibrate the WO model so that simulations of the behavior of overhead line conductors are carried out only with the WO model.

show abstract

Numerical simulation of the influence of furnace geometry on its performance in a tangentially fired pulverised-coal supercritical boiler

Cited by 3 publications

References 43 publications

Numerical Study on the Homogeneous Reactions of Mercury in a 600 MW Coal-Fired Utility Boiler

Numerical Study on the Homogeneous Reactions of Mercury in a 600 MW Coal-Fired Utility Boiler

Furnace-height FGR location impact of a cascade-arch-firing configuration in ameliorating low-NO combustion and eliminating hopper overheating for a large-scale arch-fired furnace

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Contact Info

Product

Resources

About