91 | 0 | 14 |
Downloads | Citas | Reads |
【目的】在“双碳”目标要求下,中国新能源发电占比不断增加,对传统火电机组深度调峰提出了更高的要求。深度调峰面临的最大挑战则是炉内燃烧不稳定,而火焰温度又是反应燃烧稳定性的重要参数。【方法】采用黑体炉对4个电荷耦合图像探测器进行标定,建立图像灰度值与辐射强度的定量关系;探测器内置双带通滤光片及中性密度衰减片,以获取非饱和单色辐射图像。在5 MW煤粉锅炉炉膛的对称位置布置4个探测器,通过逆蒙特卡洛法求解辐射传输方程,结合Tikhonov正则化优化算法抑制噪声干扰,实现三维温度场重建,试验针对15%、35%、50%、75%和100%负荷工况进行测试。【结果】试验结果表明,中间断面的平均温度分别为1 182.3℃、1 235.5℃、1 239.7℃、1 272.2℃和1 295.2℃,随负荷增加呈显著上升趋势;15%负荷下炉膛高度方向温度分布接近对称,但上部高温区域面积略大于下部,反映了实际燃烧状态。三维温度场重建系统可实时显示不同断面的温度分布,软件界面集成火焰图像、温度曲线及二维/三维场可视化功能。标定实验验证了辐射强度测量的准确性,黑体炉温度反算误差小于1%。不同负荷下高温区面积扩展与温度升高的规律表明,系统能有效捕捉燃烧状态变化。【结论】该方法具备良好的工程应用潜力,对推动火电机组清洁高效运行具有重要意义。
Abstract:[Objective] Under the requirement of carbon peaking and carbon neutrality target, the proportion ofnew energy power generation in China is increasing, which puts higher requirements on the deep peaking oftraditional thermal power units. The biggest challenge to deep peaking is the unstable combustion in the furnace,and the flame temperature is an important parameter to reflect the stability of combustion. [Methods] A blackbodyfurnace was used to calibrate four charge-coupled image detectors to establish a quantitative relationshipbetween image gray value and radiation intensity. The detectors were built-in with dual band-pass filters andneutral density attenuators to obtain unsaturated monochromatic radiation images. Four detectors are arranged at symmetrical positions in the furnace chamber of a 5 MW pulverized coal boiler,and the inverse Monte Carlo method is used to solve the radiative transfer equation,combined with the Tikhonov regularization optimization algorithm to suppress the noise interference and realize the three-dimensional temperature field reconstruction,and the tests are conducted for the 15%,35%,50%,75%and 100%load conditions.[Results]The test results show that the average temperatures in the middle section are 1 182.3℃,1 235.5℃,1 239.7℃,1 272.2℃,1295.2℃,which show a significant upward trend with the increase of the load;the temperature distribution of the hearth in the height direction of the furnace under the 15%load is close to symmetrical.But the area of the high temperature region in the upper part of the hearth is larger than that of the lower part of the hearth,which reflects the actual combustion state.The three-dimensional temperature field reconstruction system can display the temperature distribution of different sections in real time,and the software interface integrates the flame image,temperature curve and two-dimensional/three-dimensional field visualization functions.The calibration experiment verifies the accuracy of the radiation intensity measurement,and the backcalculation error of the blackbody furnace temperature is less than 1%.The law of high-temperature zone area expansion and temperature increase under different loads shows that the system can effectively capture the combustion state changes.[Conclusion]The method has good potential for engineering application and is of great significance in promoting clean and efficient operation of thermal power units.
[1]崔杨,孙喜斌,朱晗,等.考虑“燃煤+”耦合发电与灵活性资源备用的综合能源系统低碳经济调度[J/OL].中国电机工程学报, 2024:1-14.(2024-08-01). http://kns.cnki.net/KCMS/detail/detail.aspx?filename=ZGDC20240731003&dbname=CJFD&dbcode=CJFQ.CUI Yang,SUN Xibin,ZHU Han,et al. Low-carbon Economic Dispatch of Integrated Energy System Considering“Coal-fired+”Coupling Power Generation and Flexible Resource Reserve[J/OL].Proceedings of the CSEE,2024:1-14.(2024-08-01). http://kns.cnki.net/KCMS/detail/detail.aspx? filename=ZGDC20240731003&dbname=CJFD&dbcode=CJFQ.
[2] BALLESTER J, GARCíA-ARMINGOL T. Diagnostic techniques for the monitoring and control of practical flames[J]. Progress in Energy and Combustion Science, 2010, 36(4):375-411.
[3] LI X L, WANG Y N,ZHU Y, et al. Temperature prediction of combustion level of ultrasupercritical unit through data mining and modelling[J]. Energy, 231(2021)120875.
[4] ABBAS T, AWAIS M M, LOCKWOOD F C. An artificial intelligence treatment of devolatilization for pulverized coal and biomass in co-fired flames[J]. Combustion and Flame, 2003, 132(3):305-318.
[5] Nathan G. J., Kalt P., Alwahabi Z. T., et al. Adelaide Research and Scholarship:Recent advances in measurement of turbulent reacting flows in which heat transfer is dominated by radiation[J]. ASME.2010.
[6] CHILDS P R N, GREENWOOD J R, LONG C A. Review of temperature measurement[J]. Review of Scientific Instruments,2000, 71(8):2959-2978.
[7] KONG D W, HONG D I, AHN G J, et al. High efficiency independent polyphase for electric vehicles for energy saving A study on the design of IPM BLDC hub motor[J]. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, 2020, 34(8):15-25.
[8] KOHSE-H?INGHAUS K, BARLOW R S, ALDéN M, et al.Combustion at the focus:laser diagnostics and control[J].Proceedings of the Combustion Institute, 2005, 30(1):89-123.
[9] LIU D, HUANG Q, WANG F, et al. SimultaneousMeasurement of three-dimensional soot temperature and volume fraction fields in axisymmetric orAsymmetric small unconfined flames with CCDCameras[J]. Journal of Heat Transfer, 2010, 132(6):061202.
[10] IBARRETA A F, SUNG C J. Flame temperature and location measurements of sooting premixed Bunsen flames by rainbow schlieren deflectometry[J]. Applied Optics, 2005, 44(17):3565-3575.
[11] MARKUS G, KELLY KERRY E, MARCOTTE LAURIE A, et al.Determining the effect of species composition on temperature fields of tank flames using real-time holographic interferometry[J]. Applied Optics, 2009, 48(23):4625-4636.
[12] DEGUCHI Y, KAMIMOTO T, WANG Z Z, et al. Applications of laser diagnostics to thermal power plants and engines[J]. Applied Thermal Engineering, 2014, 73(2):1453-1464.
[13] JEON M G, DEGUCHI Y, KAMIMOTO T, et al. Performances of new reconstruction algorithms for CT-TDLAS(computer tomographytunable diode laser absorption spectroscopy)[J]. Applied Thermal Engineering, 2017, 115:1148-1160.
[14] THORNOCK J, TOVAR D, TREE D R, et al. Radiative intensity,no emissions, and burnout for oxygen enriched biomass combustion[J]. Proceedings of the Combustion Institute, 2015, 35(3):2777-2784.
[15] APHALE S S, DESJARDIN P E. Development of a non-intrusive radiative heat flux measurement for upward flame spread using DSLR camera based two-color pyrometry[J]. Combustion and Flame, 2019, 210:262-278.
[16] KUHN P B, MA B, CONNELLY B C, et al. Soot and thin-filament pyrometry using a color digital camera[J]. Proceedings of the Combustion Institute, 2011, 33(1):743-750.
[17] LIU N, ZHOU K, MA L. 3D tomography integrating view registration and its application in highly turbulent flames[J].Combustion and Flame, 2020, 221:429-440.
[18] LU G, YAN Y, CORNWELL S, et al. Impact of co-firing coal and biomass on flame characteristics and stability[J]. Fuel, 2008, 87(7):1133-1140.
[19] DRAPER T, ZELTNER D, TREE D R, et al. Characterization of a primary-swirled, high oxygen participation coal flame:Flame temperature, emissivity, NO, and burnout measurements[J].Proceedings of the Combustion Institute, 2013, 34(2):2779-2786.
[20] LEGROS G, WANG Q L, BONNETY J, et al. Simultaneous soot temperature and volume fraction measurements in axis-symmetric flames by a two-dimensional modulated absorption/emission technique[J]. Combustion and Flame, 2015, 162(6):2705-2719.
[21] LIU D, YAN J H, WANG F, et al. Experimental reconstructions of flame temperature distributions in laboratory-scale and largescale pulverized-coal fired furnaces by inverse radiation analysis[J]. Fuel, 2012, 93:397-403.
[22] WANG F, YAN J H, CEN K F, et al. Simultaneous measurements of two-dimensional temperature and particle concentration distribution from the image of the pulverized-coal flame[J]. Fuel,2010, 89(1):202-211.
[23] XU C L, ZHAO W C, HU J H, et al. Liquid lens-based optical sectioning tomography for three-dimensional flame temperature measurement[J]. Fuel, 2017, 196:550-563.
[24] NIU Z T, QI H, SHI J W, et al. Three-dimensional rapid visualization of flame temperature field via compression and noise reduction of light field imaging[J]. International Communications in Heat and Mass Transfer, 2022, 137:106270.
[25]傅初黎,李洪芳,熊向团.不适定问题的迭代Tikhonov正则化方法[J].计算数学, 2006, 28(3):237-246.FU Chuli, LI Hongfang, XIONG Xiangtuan. Iterated Tikhonov regularization for ill-posed problems[J]. Mathematica Numerica Sinica, 2006, 28(3):237-246.
[26] LIU H D, ZHOU H C, WANG D D, et al. Performance comparison of two Monte Carlo ray-tracing methods for calculating radiative heat transfer[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2020, 256:107305.
[27]帅永.典型光学系统表面光谱辐射传输及微尺度效应[D].哈尔滨:哈尔滨工业大学, 2008.SHUAI Yong. Spectral radiative transfer on surfaces of the representative optical systems and microscale effects[D]. Harbin:Harbin Institute of Technology, 2008.
[28] ZHANG X Y, ZHENG S, ZHOU H C, et al. Simultaneously reconstruction of inhomogeneous temperature and radiative properties by radiation image processing[J]. International Journal of Thermal Sciences, 2016, 107:121-130.
Basic Information:
DOI:10.19944/j.eptep.1674-8069.2025.02.009
China Classification Code:TM621.2;TP391.41
Citation Information:
[1]闫伟杰,刘海东,周旭等.基于火焰辐射图像处理的炉膛三维温度场监测研究[J].电力科技与环保,2025,41(02):263-269.DOI:10.19944/j.eptep.1674-8069.2025.02.009.
Fund Information:
国家重点研发计划项目(2022YFB4100500); 国家自然科学基金项目(52176144)