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Improvement on Quantitative Measurement of Fly Ash Contents Using Laser-Induced Breakdown Spectroscopy 被引量:2
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作者 Zhenzhen Wang Yoshihiro Deguchi +3 位作者 Hiroaki Watanabe ryoichi kurose Junjie Yan Jiping Liu 《Journal of Flow Control, Measurement & Visualization》 2015年第1期10-21,共12页
Contents of fly ash are important factors for the operation of coal-fired plants. Real-time monitoring of coal and fly ash such as unburned carbon in fly ash can be an indicator of the combustion conditions. Because o... Contents of fly ash are important factors for the operation of coal-fired plants. Real-time monitoring of coal and fly ash such as unburned carbon in fly ash can be an indicator of the combustion conditions. Because of the strong signal intensity and the relative simplicity of the LIBS (Laser- Induced Breakdown Spectroscopy) technique, LIBS can be applicable for real-time composition measurement of coal and fly ash. This research presented here focused on the clarification of the effects of plasma temperature and coexisting materials on quantitative measurement of fly ash contents. Quantitative capability of LIBS was improved using the proposed plasma temperature correction method. The CO2 effect was also discussed to accurately evaluate unburned carbon in fly ash in exhausts. Using the results shown in this study, quantitative measurement of fly ash contents has been improved for wider applications of LIBS to practical fields. 展开更多
关键词 LASER-INDUCED BREAKDOWN Spectroscopy FLY ASH Temperature CORRECTION CO2 Effect
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多煤种低氮燃烧及煤的燃尽研究
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作者 Hisao Makino Michitaka Ikeda +2 位作者 ryoichi kurose 吕晓东(译) 翁一武(校) 《上海电力》 2005年第5期462-465,共4页
介绍了采用由日本中央电力研究所(CRIEPI)和石川岛播磨重工业有限公司(I HI)共同研发的CI-α新型旋流燃烧器和分级送风技术,分别对烟煤、次烟煤、高燃料比煤进行燃烧优化的实验研究。通过对实验结果的分析,得出的实验数据在工业试验上... 介绍了采用由日本中央电力研究所(CRIEPI)和石川岛播磨重工业有限公司(I HI)共同研发的CI-α新型旋流燃烧器和分级送风技术,分别对烟煤、次烟煤、高燃料比煤进行燃烧优化的实验研究。通过对实验结果的分析,得出的实验数据在工业试验上得到了证实。由CI-α新型旋流燃烧器组成的先进、分级低氮燃烧系统,对不同煤种均有良好的适应性,并具有经济、环保、稳燃、燃尽的综合效应。 展开更多
关键词 低氮燃烧 CI-α旋流燃烧器 烟煤 次烟煤 燃烧优化 高燃料比煤
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Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach 被引量:1
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作者 Takafumi Honzawa Reo Kai +3 位作者 Kotaro Hori Makoto Seino Takayuki Nishiie ryoichi kurose 《Energy and AI》 2021年第3期316-324,共9页
Owing to the increasing worldwide demand for natural gas,the development of a large submerged combustion vaporizer is required.Its burner is equipped with a water spray nozzle to reduce nitrogen oxides,and a practi-ca... Owing to the increasing worldwide demand for natural gas,the development of a large submerged combustion vaporizer is required.Its burner is equipped with a water spray nozzle to reduce nitrogen oxides,and a practi-cal simulation method is required for the optimal design.The non-adiabatic flamelet approach can predict the combustion emissions and is useful for reducing simulation costs.However,as the number of control variables increases,the database requires larger memory and cannot be dealt with by general computers.In this study,an artificial neural network(ANN)model based on a five-dimensional flamelet database,which includes the effects of heat loss and vapor concentration by sprayed water evaporation,is developed.Furthermore,large eddy sim-ulations(LESs)for turbulent combustion fields with and without water spray are conducted employing flamelet generated manifold(FGM)approach with this ANN model,and the validity is investigated.For comparison,a lab-scale burner equipped with a water spray nozzle is manufactured,and combustion experiments with and without water spray are conducted.The results show that CO,NO,temperature,and reaction rate of progress variable predicted by the present ANN model are in good agreement with those of a five-dimensional flamelet database.In the condition without water spray,the flame behavior predicted by the LES employing the FGM/ANN ap-proach is in good agreement with that employing the conventional FGM approach,while indicating much lower memory,although there appeared some quantitative discrepancies in the temperature against the experiment probably partially because of the insufficiency of the FGM approach for the present complex flame structure.In the condition with water spray,the LES employing the FGM/ANN approach is able to capture the effect of the water spray on the flame behavior in the experiment,such that the water spray decreases the temperature,which causes the decrease in NO but increase in CO. 展开更多
关键词 Neural network modeling Five-dimensional flamelet approach Water spray Large eddy simulation
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