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2005年03月03日

【期刊论文】Axial transport and residence time of MSW in rotary kilns: Part Ⅱ. Theoretical and optimal analyses

岑可法, S.-Q. Li a, b, *, Y. Chi a, R.-D. Li a, J.-H. Yan a, K.-F. Cen a

Powder Technology 126(2002)228-240,-0001,():

-1年11月30日

摘要

A novel particulate trajectory model (PTM) is developed to predict axial transport and dispersion of municipal solid wastes (MSW), based on the vector analysis on particle's gravity-induced axial displacement in a single excursion. Three parts of work are extended with respect to this PTM. First, the simplified formulas about mean residence time (MRT) and material volumetric flow (MVF) are derived by incorporating statistic-averaged analysis on all repeated excursions of solids within kiln into PTM. The correctional factors-et for MRT and ef for MVF-are introduced to improve the model's validity under such practical cases, i.e. irregular MSW existence or internal-structure presence. Reasonable agreement is obtained between the empirical formulas and experiments with correlation factor in excess of 90% for all runs. Second, a stochastic PTM is extended to predict the residence time distribution (RTD) curves of segregated MSW by considering the probability of the rolling distance of individual particle. As for MSW, the main cause of axial dispersion is the egregation of rolling distance of solids, due to variation of MSW components, shapes and sizes. Finally, the optimization model for geometry design of a laboratory-scale rotary kiln pyrolyser of MSW is presented and the corresponding optimum solutions are provided.

Rotary kiln, MSW, Axial transport, Particulate trajectory model, Optimization

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2005年03月03日

【期刊论文】Particle population balance model for a circulating fluidized bed boiler

岑可法, Qinhui Wang*, Zhongyang Luo, Mingjiang Ni, Kefa Cen

Chemical Engineering Journal 93(2003)121-133,-0001,():

-1年11月30日

摘要

A two-dimensional particle population balance model has been developed for the particle size and density distributions in a circulating fluidized bed (CFB) boiler furnace based on analysis of particle properties and the core-annulus hydrodynamic model. The model, incorporating modules to consider fuel particle fragmentation, char combustion, particle attrition and gas-solid separation, is part of an overall model developed earlier by the authors to simulate the operation of a 12MW CFB boiler. The model predictions for particle population in a CFB furnace agree well with the measurement data.

Circulating fluidized bed boiler, Particle population balance

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2005年03月03日

【期刊论文】Prediction of ash deposition in ash hopper when tilting burners are used

岑可法, Zhou Hao *, Cen Kefa, Sun Ping

Fuel Processing Technology 79(2002)181-195,-0001,():

-1年11月30日

摘要

This work presents a model of ash deposition growth in the ash hopper of utility boilers when the nozzles are tilted downwards. The model consists a comprehensive combustion code to predict the flow field, temperature field, the gas and solid combustion and the deposition growth behavior. The results show that burner tilting has a significant effect on the deposition in the ash hopper. The work indicates that the numerical model can be used to optimize the design and operation of pulverized coal-burning boiler equipped with tilting burner systems.

Pulverized coal fired, Tangentially fired furnace, Ash slag, Deposition growth

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2005年03月03日

【期刊论文】不同温度下炉内喷射氨水脱除NOX的模拟与试验研究

岑可法, 王智化, 周昊, 周俊虎, 樊建人

JOURNAL OF FUEL CHEMISTRY AND TECHNOLOGY, 2004, (2): 48~53,-0001,():

-1年11月30日

摘要

在一台小型沉降炉上进行了氨水喷射还原烟气中NOX的SMCR(Selective Non-Catalytic Reduction)实验研究, 同时结合化学反应动力学模型研究了NH3还原NO过程中的关键影响因素,结果发现,过高的温度引起氨水的氧化, 过低的温度不利于NO 的还原,存在一个单一的温度区间,在该试验台上最佳的氨水喷射温度范围为850℃~1100℃,最高达到了82%的NO还原率;采用均相反应模型与试验结果进行了对比,在高温区吻合情况较好;当温度高于950℃时,NH3残留量可以忽略;NH2的两类支链反应对于整个反应起重要作用。

氨水, SNCR, NOX, NH3/, NO摩尔比, NH3

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2005年03月03日

【期刊论文】Modeling and optimization of the NOx emission characteristics of a tangentially firedboiler with artificial neural networks

岑可法, Hao Zhou*, Kefa Cen, Jianren Fan

Energy 29(2004)167-183,-0001,():

-1年11月30日

摘要

The present work introduces an approach to predict the nitrogen oxides (NOx) emission characteristics of a large capacity pulverizedcoal fired boiler with artificial neural networks (ANN). The NOx emission andcarbon burnout characteristics were investigatedthroug h parametric fieldexperi ments. The effects of over-fire-air (OFA) flow rates, coal properties, boiler load, air distribution scheme and nozzle tilt were studied. On the basis of the experimental results, an ANN was used to model the NOx emission characteristics andthe carbon burnout characteristics. Comparedwi th the other modeling techniques, such as computational fluid dynamics (CFD) approach, the ANN approach is more convenient and direct, and can achieve good prediction effects under various operating conditions. A modified genetic algorithm (GA) using the micro-GA technique was employedto perform a search to determine the optimum solution of the ANN model, determining the optimal setpoints for the current operating conditions, which can suggest operators' correct actions to decrease NOx emission.

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  • 岑可法 邀请

    浙江大学,浙江

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