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Benchmark evaluation of tomographic algorithms for simultaneous reconstruction of temperature and volume fraction fields of soot and metal-oxide nanoparticles in non-uniform flames

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Science China(Technological Sciences) 2021年第2期64卷 237-250页

作者： shui chongyuan LIU HeCong CAI WeiWei Key Laboratory for Power Machinery and Engineering of Ministry of Education School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

With the growing applications of nanofluid flame, the monitoring and controlling of its combustion process is of paramount importance. Thus, it is necessary to develop diagnosing methods which can simultaneously image important parameters such as temperature and volume fractions of soot, metal-oxide nanoparticles. Tomographic emission spectroscopy is an effective method which has been proposed for this purpose. However, the inversion process was only reported with least-squares QR decomposition(LSQR) so far and there are numerous well-established reconstruction algorithms which have not been utilized ***, this work aims to perform systematic comparative studies on several representative algorithms for the inversion process. In the simulative studies, algorithms including Tikhonov regularization, algebraic reconstruction technique(ART), LSQR,Landweber algorithm, maximum likelihood expectation maximization(MLEM), and ordered subset expectation maximization(OSEM) were discussed. The effects of the number of iterations, the signal-to-noise ratio, and the number of projections and the calibration error in projection angles on the performance of the algorithms were investigated. Advice on selecting the suitable algorithms under different application conditions is then provided according to the extensive numerical studies.

关键词： inverse analysis algorithms temperature field soot and metal-oxide volume fraction non-uniform nanofluid flame

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Dynamic simulation of GEH-IES with distributed parameter characteristics for hydrogen-blending transportation

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Frontiers in Energy 2024年第4期18卷 506-524页

作者： Dengji ZHOU Jiarui HAO Wang XIAO Chen WANG chongyuan shui Xingyun JIA Siyun YAN Key Laboratory of Power Machinery and Engineering of the Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Sichuan Research Institute Shanghai Jiao Tong UniversityChengdu 610042China West Pipeline Company National Petroleum and Natural Gas Pipe Network Group Co.Ltd.Urumqi 830012China Institute of Intelligent Manufacturing Modern Industry Xinjiang UniversityUrumqi 830046China

For the purpose of environment protecting and energy saving,renewable energy has been distributed into the power grid in a considerable ***,the consuming capacity of the power grid for renewable energy is relatively *** an effective way to absorb the excessive renewable energy,the power to gas(P2G)technology is able to convert excessive renewable energy into ***-blending natural gas pipeline is an efficient approach for hydrogen ***,hydrogen-blending natural gas complicates the whole integrated energy system(IES),making it more problematic to cope with the equipment failure,demand response and dynamic ***,dynamic simulation of distribution parameters of gas-electricity-hydrogen(GEH)energy system,especially for hydrogen concentration,still remains a *** dynamics of hydrogen-blending IES is *** tackle the issue,an iterative solving framework of the GEH-IES and a cell segment-based method for hydrogen mixing ratio distribution are proposed in this *** typical numerical cases studying the conditions under which renewables fluctuate and generators fail are conducted on a real-word *** results show that hydrogen blending timely and spatially influences the flow parameters,of which the hydrogen mixing ratio and gas pressure loss along the gas pipeline are negatively correlated and the response to hydrogen mixing ratio is ***,the hydrogen-blending amount and position also have a significant impact on the performance of the compressor.

关键词： gas-electricity IES dynamic simulation hydrogen blending power to gas(P2G) renewable energy

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