ASHRAE ST-16-012-2016 Optimizing Excess Air in Relation to Energy Temperature and Reduction of Emissions of Methane Gas in a Combustion Nozzle- Using Numerical Combustion Modeling.pdf
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1、 2016 ASHRAE 115ABSTRACTOptimizing the combustion performance and reducingemissions of methane gas by varying excess air has been andcontinues to be an area of interest for researchers, manufac-turers, and operators of equipment such as gas-fired boilers,with the aim of developing more energy-effici
2、ent systems andaddressing ever-growing environmental concerns. Resultswere graphically displayed and discussed, illustrating theeffects of excess air on the combustion process with regards toenergy, temperature, and pollutants. Easy-to-use equationswere developed with guidance on how to accurately o
3、ptimizecombustion.Methodology: Numerical software tools were used inanalyzing injected methane gas and variable excess air ratios.Emissions such as carbon dioxide (CO2), carbon monoxide(CO), and nitrogen oxides (NOx) were also recorded andanalyzed. Optimum energy output was investigated in relationt
4、o excess air and emissions.Results were tabulated and graphs generated. Equationswere derived using industry-established software tools. Theaccuracy of the developed equations was assessed on statisti-cal basis. Discussions on advantages and disadvantaged onexcess air are included.Conclusion: Result
5、s were found to be in agreement withpublished official information. Precise control of excess aircanimproveenergyefficiencyandlowerpollutionlevelsintheflue gas. The developed equations can easily be programmedinto a computer-controlled combustion system. Results in thispaper can be also be used to a
6、ssess similar existing processes.Oncethecomputationalfluiddynamics(CFD)modelissetup,the model can be adjusted to suit specific simulation require-ments.INTRODUCTIONStudying the effects of excess air on combustion effi-ciency in relation to polluting emissions is becoming evermore important. This int
7、erest is being driven by depletinghydrocarbon fuels, rising fuel costs, and environmentalconcerns. Environmental bodies, manufacturers, and endusers of gas-fired equipment are expected to become moreinterested in this technology.Combustornozzlesofdifferentcharacteristicsareusedingas turbines and wat
8、er heating boilerstwo examples oper-atingunderdifferentparameters.Optimizingperformanceandreducing emissions of such combustion processes can posi-tively impact the two mentioned examples.The numerical research aims to demonstrate howcombustionenergyoutputbehavesoverawiderangeofair-to-fuel ratios. I
9、mpact of variable air-to-fuel ratios on nitrogenoxides (NOx), carbon monoxide (CO), and carbon dioxide(CO2) was included in this paper with graphical contourpictures and graph plots.Curve-fitting techniques were employed to mathemati-cally describe the relationship between injected methane gasand va
10、rying injected airflow rates. The developed equationlendsitselftocomputerprogramming.Acomputer-controlledcombustionprocesscanaccuratelybecontrolledinoptimizingtotal energy output and total temperature output, and thereduction of CO, CO2, and NOx. Equations developed byusing curve-fitting techniques
11、were statically assessed forintegrity.Optimizing Excess Air in Relation to Energy,Temperature,andReductionofEmissionsofMethane Gas in a Combustion NozzleUsing Numerical Combustion ModelingAli M. Hasan, CEngMember ASHRAEAli M. Hasan is a senior engineer at KEO International Consulting Engineers, Doha
12、, Qatar.ST-16-012Published in ASHRAE Transactions, Volume 122, Part 2 116 ASHRAE TransactionsEFFECTS OF VARYING INJECTED AIRFLOW ONMETHANE GAS IN A COMBUSTION NOZZLEIngeneral,flametemperatureishighestwhenthereisjustenough fuel to react with the available oxygen. This process isknown as stoichiometri
13、c combustion, producing a fast chem-ical reaction with a high flame temperature. Nonstoichiomet-ric combustion is a process with excess air (lean mixture) andexcess fuel (rich mixture). A rich mixture produces lowertemperatureandreactionrates.However,inpractice,completeorstoichiometriccombustioncanb
14、edifficulttoachieve,caus-ingharmfulunburnedfuelgasesandCOgasestoescapetotheatmosphere.Excess air is therefore important but within limits,becausehighexcessairusedinanendeavortoobtaincompletecombustion absorbs some of the combustion heat, causing adrop in efficiency. The aim will be to find the optim
15、um excessair value.European and American definitions (Kutz 2006): TheAmerican definition refers to equivalence ratio, whichdescribes the ratio of fuel to air relative to the stoichiometriccondition. An equivalence ratio of 1.0 corresponds to the stoi-chiometric condition. At lean fuel conditions the
16、 ratio is lessthan 1. Conversely, at fuel-rich conditions it is greater than 1.The European definition refers to the reciprocal, which is thelambda value .The combustion model was assumed to be a nonadiabaticprocess. Process energy and temperature output will alsodepend on the following parameters d
17、escribed in the “Meth-odology” section.METHEDOLOGYThe following settings and assumptions were made usingANSYS Fluent software (ANSYS 2016):Non-adiabatic process.Air-to-fuel ratio: 17.24 kg to 1 kg of fuel, (37.93 lb to2.2 lb of fuel). Ratio for stoichiometric conditionsobtained from ASHRAE HandbookF
18、undamentals(ASHRAE 2009). The model was repeated with differ-ent air-to-fuel ratios, as shown in Table 1.Fluent standard database air fractions: 0.78992 of nitro-gen and 0.21008 of oxygen.K-epsilon model, a common turbulence model. Accord-ing to Spalding (2014), the k-epsilon turbulence modelis a go
19、od compromise between generality and economyof use for many computational fluid dynamics (CFD)problems.P1 radiation model. According to Liu et al. (2009), theP1 model is the simplest case of the more general P-Nmodel. For combustion and complicated geometries, theP1 model works reasonably well. A pa
20、per by Prieler etal. (2014), which simulates an oxygen-natural gas com-bustion process, states that the P1 model overestimatesradiation, which leads to a lower temperature in the fur-nace.Non-premixed fuels.Air and fuel temperatures at inlet: 300 K. Table 1 showsapplied mass flow rates.Automatic mes
21、hing tool was selected.Number of iterations made: 1500. At this setting, theprocessor was monitored and the residuals plot showedstability. Residual curves flattened out halfway throughprocessing.Probability density function (PDF) was used to simulatecombustion. According to Pope (1997), the PDF mod
22、elcan produce satisfactory results for turbulent reactionflows where convection effects due to mean and fluctuat-ing components of velocity are dominant. The model canbe extended for adiabatic and non-adiabatic conditions.The Zeldovich mechanism was used to calculate NOxformation. See the “NOxby Mas
23、s Fraction” section.Mesh metricelement quality: 388,085 elements wereused. Minimum Jacobian element was 0.40, maximumJacobian element was 0.99, average Jacobian element wasTable 1. Varying Inlet Air Flow and Combustion Output of Methane GasInlet AirflowCombustionTotal Temperature Total Energy NOxCO
24、CO2Excess Air, % e-3, kg/s (lb/s) e2, K e4, J/kg (Btu/lb) e-5, Mass Fraction e-2, Mass Fraction e-2, Mass Fraction0 17.24 (37.93) 21.37 15.0408 (64.6638) 13.8 14.05 18.10 (39.82) 21.43 17.0738 (73.4041) 29.21 13.8 13.810 18.96 (41.71) 21.37 17.0334 (73.2304) 26.12 13.9 13.820 20.69 (45.52) 21.36 15.
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