Numerical analysis of the flue gas-coal particles mixture flow in burner's distribution channels with regulation shutters at the TPP Nikola Tesla - A1 utility boiler

In this paper energy use of boiler fan motors has been estimated using energy audit data. Energy savings using VSD by modulating fan speed has been estimated as well. Bill savings and associated emission reductions using VSD have been estimated and presented in this paper. It has been found that 139,412 MWh, 268,866, 159,328 MWh, and 99,580 MWh electrical energy can be saved for 40%, 60%, 80% and 100% motor loadings, respectively for 60% speed reduction. Corresponding bill savings for the aforementioned energy savings have been found to be US$7,318,335, US$14,113,933, US$8,363,812, and US135,911,944 for 40%, 60%, 80% and 100% motor loadings, respectively for 60% speed reduction. Along with energy savings, 69,770,744 kg, 134,558,329 kg, 79,738,065 kg, 49,836,603 kg of CO2 emission can be avoided for the associated energy savings as a result of energy savings using VSD for 40%, 60%, 80% and 100% motor loadings. Moreover, 32,503,558 GJ of fossil fuel can be saved for the flue gas temperature reduction as a result of reducing fan motor speed reduction. Flue gas energy savings for oxegen trim system has been estimated and found to be 549,310,130 GJ for 16.9% of excess air reduction with payback period less than a day

“…(1) and input data from tabs. Using data and formulations presented in [4], fuel energy savings for the has been estimated as: 94.5 83.5 Fuel savings 11.3% 94.5 4.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy savings and emission reductions in industrial boilers

Saidur¹

2011

“…It is especially useful when investigations on complex thermal power plants are needed [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. There is a wide range of software for numerical simulations.…”

Section: Methodsmentioning

confidence: 99%

Numerical simulation of multiphase flow in ventilation mill and channel with louvers and centrifugal separator

Kozić¹,

Ristić²,

Puharić³

et al. 2011

This paper presents the results of numerical flow simulation in ventilation mill of Kostolac B power plant, where louvers and centrifugal separator with adjustable blade angle are used. Numerical simulations of multiphase flow were performed using the Euler-Euler and Euler-Lagrange approach of ANSYS FLUENT software package. The results of numerical simulations are compared with measurements in the mill for both types of separators. Due to very complex geometry and large number of the grid cells, convergent solution with the Eulerian model could not be obtained. For this reason the mixture model was employed resulting in very good agreement with measurements, concerning the gas mixture distribution and velocity at the main and secondary burners. There was large difference between the numerical results and measurements for the pulverized coal distribution at the burners. Taking into consideration that we analyzed dilute mixture with very low volume fraction of the coal, the only choice was the Euler-Lagrange approach, i.e. discrete phase model limited to volume fraction of the discrete phase less than 10-12%. Obtained distributions of the coal at the burners agree well for both types of separators

“…In order to meet these goals, WTEP with bedcombustion was numerically investigated by using the computational fluid dynamics (CFD) approach [1][2][3][4][5][6][7][8][9][10][11][12][13], by the non-stationary calculation of the ANSYS CFX 12.0 code in a WORKBENCH 2 environment. Firstly, this process depends on many input parameters such as proximate and ultimate analyses, the season of the year, primary and secondary inlet air velocities and, secondly, on output parameters such as the temperatures or mass fraction of the combustible products.…”

mentioning

confidence: 99%

Numerical optimization of a waste-to-energy plant's operating parameters using CFD

Kapitler¹,

Samec²,

Kokalj³

2011

The combustion process for using municipal solid waste as a fuel within a waste to energy plant calls for a detailed understanding of the following phenomena. Firstly, this process depends on many input parameters such as proximate and ultimate analyses, the season of the year, primary and secondary inlet air velocities and, secondly, on output parameters such as the temperatures or mass fraction of the combustible products. The variability and mutual dependence of these parameters can be difficult to manage in practice. Another problem is how these parameters can be tuned to achieving optimal combustible conditions with minimal pollutant emissions, during the plant-design phase. In order to meet these goals, a waste-to-energy plant with bed combustion was investigated by using computational fluid-dynamics approach. The adequate variable input boundary conditions based on the real measurement are used and the whole computational work is updated using real plant geometry and the appropriate turbulence, combustion, or heat transfer models. The operating parameters were optimized on output parameters through a trade-off study. The different operating conditions were varied and the combustible products were predicted and visualized. Finally, the response charts and matrix among the input and output parameters during the optimization process are presented, which monitored the dependence among these parameters. emissions, during the WTEP project phase. In order to meet these goals, WTEP with bedcombustion was numerically investigated by using the computational fluid dynamics (CFD) approach [1][2][3][4][5][6][7][8][9][10][11][12][13], by the non-stationary calculation of the ANSYS CFX 12.0 code in a WORKBENCH 2 environment. By using this complex numerical tool, the input and output parameters were followed and their mutual interaction visualized. Mathematical models for boundary-condition predictions were developed, such as FLIC [6,[8][9][10][11]] and the TAMARA [3] test project to find out combustible products distribution within the gaseous phase above the fuel bed and along the moving grate. The combustion of MSW during the gaseous combustion phase has many phases such as moisture evaporation, waste devolatilisation, combustion of volatiles, mixing and fixed carbon combustion during heterogeneous chemical reactions [10]. So the input boundary conditions have to be harmonized using these phenomena. Some optimization methods are described in literature [5,14,15], but these work do not discuss the interaction among the parameters, as used here. Models description