Key Laboratory of Energy Thermal Conversion and Control

Nanjing, China

Key Laboratory of Energy Thermal Conversion and Control

Nanjing, China
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Shen D.,Key Laboratory of Energy Thermal Conversion and Control | Ye J.,Nanjing Institute of Technology | Xiao R.,Key Laboratory of Energy Thermal Conversion and Control | Zhang H.,Key Laboratory of Energy Thermal Conversion and Control
Carbohydrate Polymers | Year: 2013

Cellulose degradation under inert (He) and oxidative atmospheres (7% O 2, 20% O2 and 60% O2) was investigated through thermogravimetric (TG) equipped with mass spectroscopy (MS) system. Two mass loss stages were observed for cellulose degraded under oxidative atmosphere, where the first mass loss stage is close to that under inert atmosphere, and the second one designated to char oxidation was enhanced by the increased oxygen concentration. The evolution of prominent volatiles including furfural, acetone, 2/5-hydromethyl furfural, formaldehyde, CO and CO2 was examined considering the influence of oxygen concentration. The plateau for mass loss and evolution of some volatiles leads to the difficulty to determine the division-point for the two stages. However, the fitting parameter (Dev%) around 5% confirms the applicability of the proposed two-stage kinetic model accounting for partial pressure of oxygen. Crown Copyright © 2013 Published by Elsevier Ltd. All rights reserved.


Zhou J.,Key Laboratory of Energy Thermal Conversion and Control | Ji Y.,Key Laboratory of Energy Thermal Conversion and Control | Qiao Z.,Key Laboratory of Energy Thermal Conversion and Control | Si F.,Key Laboratory of Energy Thermal Conversion and Control | Xu Z.,Key Laboratory of Energy Thermal Conversion and Control
Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013 | Year: 2013

Using the data of boiler combustion, an accurate online support vector regression (AOSVR) model of the Nitrogen Oxide (NOx) emission property is built. After the training and the testing, the result shows that AOSVR is a good tool for modeling with small sample data, compared with the method of SVR and artificial neural network (ANN). The model can estimate the NOx emission accurately under different conditions when the load or other parameters changes. The accuracy of this model can also meets the demand of the combustion optimization. The result shows that this new model has a good learning efficiency and prediction accuracy because the algorithm can update the parameters of the model by itself as time and other parameters change. © 2013 IEEE.


Du L.,Key Laboratory of Energy Thermal Conversion and Control | Jin B.,Key Laboratory of Energy Thermal Conversion and Control | Zheng X.,Key Laboratory of Energy Thermal Conversion and Control | Niu M.,Key Laboratory of Energy Thermal Conversion and Control
Environmental Progress and Sustainable Energy | Year: 2015

Nitrous oxide (NO) reduction of online precalciner-type kiln systems by coal reburning was investigated experimentally using a one-dimensional furnace system. NO reduction can reach as high as ∼70-80% in the tested reburning zone stoichiometry range (SR2) of ∼0.6-1.0. The NO reduction efficiency of bituminous coal is lower than that of anthracite (0.52 <0.65). A higher temperature can lead to a higher NO reduction efficiency since 0.62<0.7. There is an exponential correlation between the NO reduction efficiency and residence time, which may be influenced by several parameters, such as reburning zone stoichiometry and reburning coal characteristics. © 2015 American Institute of Chemical Engineers Environ Prog.

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