生物质气化过程的可视化研究
|
摘要
生物质燃料种类多,气化过程复杂多变。生物质燃料气化反应条件、规律及反应物的研究,是生物质气化技术研究的重点。文章提出将电容层析成像技术用于生物质气化过程的可视化监测;采用COMSOL建立了生物质气化炉电容层析成像模型;分析了不同生物质介质对电容敏感场的影响。文章通过仿真计算求取灵敏度矩阵及电容值;应用串联的归一化模型对电容值进行归一化处理;应用两种不同算法对气化炉内不规则介质进行成像,对生物质气化过程可视化监测做了有益的探索。
There are many kinds of biomass fuels and the gasification process is complex and changeable. The research on the technology of biomass gasification focuses on reaction conditions,rules and its reactants. In this paper, capacitance tomography technology(ECT) is proposed for the visualization monitoring of biomass gasification process; COMSOL is used to establish a model of ECT for biomass gasifies and the effect of different biomass media on capacitance sensitive field is analyzed. Sensitivity matrix and capacitance value are calculated by simulation; capacitance value is normalized by series normalization model; irregular medium in gasifier is imaged by two different algorithms, which is a useful exploration for visual monitoring of biomass gasification process.
There are many kinds of biomass fuels and the gasification process is complex and changeable. The research on the technology of biomass gasification focuses on reaction conditions,rules and its reactants. In this paper, capacitance tomography technology(ECT) is proposed for the visualization monitoring of biomass gasification process; COMSOL is used to establish a model of ECT for biomass gasifies and the effect of different biomass media on capacitance sensitive field is analyzed. Sensitivity matrix and capacitance value are calculated by simulation; capacitance value is normalized by series normalization model; irregular medium in gasifier is imaged by two different algorithms, which is a useful exploration for visual monitoring of biomass gasification process.
引文
[1]李九如,李想,陈巨辉,等.生物质气化技术进展[J].哈尔滨理工大学学报,2017,22(3):137-140.
[2]高金锴,佟瑶,王树才,等.生物质燃煤耦合发电技术应用现状及未来趋势[J].可再生能源,2019,37(4):501-505.
[3] Warsito W, Marashdeh Q, Fan L S. Electrical capacitance volume tomography[J]. IEEE Sensors Journal,2007,7(4):525-535.
[4] Zhu K,Madhusudana R S,Sundaersna S. Electrical capacitance tomography measurements on vertical and inclined pneumatic conveying of granular solids[J].Chemical Engineering Science,2003,58(18):4225-4245.
[5] Wang H G,Yang W Q.Scale-up of an electrical capacitance tomography sensor for imaging pharmaceutical fluidized beds and validation by computational fluid dynamics[J]. Measurement Science and Technology,2011,22(10):104015-104025.
[6] Waterfall R C,He R,Beck C M. Visualizing combustion using electrical impedance tomography[J]. Chemical Engineering Science,1997,52(13):2129-2138.
[7]夏靖波,邹铁鹏,王师.火焰电容成像的模糊神经网络控制策略[J].信息与控制,1997,26(3):234-240.
[8] Wang F,Marashdeh Q,Fan L S,et al. Electrical capacitance volume tomography:Design and applications[J]. Sensors,2010,10(3):1890-1912.
[9] Marashdeh Q M,Teixeira F L,Fan L S. Adaptive electrical capacitance volume tomography[J]. IEEE Sensors Journal,2014,14(4):1253-1258.
[10] Thuku I T,Rahmat M F,Wahab N A,et al. 2-D finiteelement modeling of electrostatic sensor for tomography system[J]. Sensor Review,2013,33(2):104-113.
[2]高金锴,佟瑶,王树才,等.生物质燃煤耦合发电技术应用现状及未来趋势[J].可再生能源,2019,37(4):501-505.
[3] Warsito W, Marashdeh Q, Fan L S. Electrical capacitance volume tomography[J]. IEEE Sensors Journal,2007,7(4):525-535.
[4] Zhu K,Madhusudana R S,Sundaersna S. Electrical capacitance tomography measurements on vertical and inclined pneumatic conveying of granular solids[J].Chemical Engineering Science,2003,58(18):4225-4245.
[5] Wang H G,Yang W Q.Scale-up of an electrical capacitance tomography sensor for imaging pharmaceutical fluidized beds and validation by computational fluid dynamics[J]. Measurement Science and Technology,2011,22(10):104015-104025.
[6] Waterfall R C,He R,Beck C M. Visualizing combustion using electrical impedance tomography[J]. Chemical Engineering Science,1997,52(13):2129-2138.
[7]夏靖波,邹铁鹏,王师.火焰电容成像的模糊神经网络控制策略[J].信息与控制,1997,26(3):234-240.
[8] Wang F,Marashdeh Q,Fan L S,et al. Electrical capacitance volume tomography:Design and applications[J]. Sensors,2010,10(3):1890-1912.
[9] Marashdeh Q M,Teixeira F L,Fan L S. Adaptive electrical capacitance volume tomography[J]. IEEE Sensors Journal,2014,14(4):1253-1258.
[10] Thuku I T,Rahmat M F,Wahab N A,et al. 2-D finiteelement modeling of electrostatic sensor for tomography system[J]. Sensor Review,2013,33(2):104-113.