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To study the transformation of organic structure and mineral matter in coal-biomass mixtures during co-gasification, the anthracite and rice straw addition with different ratios were isothermally gasified at 1100°C under CO2 atmosphere in a fixed bed reactor. The phase-mineral composition, morphology and organic structure of solid residues produced at different gasification time were analyzed by X-ray...
Compared with individual pyrolysis of Shendong coal or the direct coal liquefaction residue, co-pyrolysis has an improved tar yield. However, the synergistic mechanism in the integrated process is still controversial. In order to explore the interactive effect in co-pyrolysis of coal and the direct coal liquefaction residue, elemental analysis, gas chromatography, Fourier – transform infrared spectrometer,...
Ultimate analysis is an important property for fuel utilization. The experimental determination of ultimate analysis is sophisticated, long time consumed, and expensive, on the contrary, the proximate analysis can be run rapidly and easily. A variety of correlations to predict the ultimate analysis of biomass using the proximate analysis have been appeared, while there exists a few number of correlations...
Co-gasification of coal and biomass has many merits with regards to feasibility in fuel supply and synergetic catalytic effect. In this paper, the influence of biomass on energy and element utilization efficiency during co-gasification is studied to further reveal the essence of the synergistic effect. Coal gasification, biomass gasification and the co-gasification were all performed in the same fluidized-bed...
A large number of random factors in the process of the coal bed methane (CBM) development project can lead to a high degree of risk and uncertainties, and the traditional investment decision-making methods (for example DCF method) ignored the value of investment opportunities which were brought by the project environment's uncertainties and management flexibilities. Introducing real options method,...
In coal mine production logistics there are many random factors that result the characters of complexity, non-linear and uncertain of production system. But traditional safety evaluation methods rely on subjective experience, and have a lower evaluating precision. Artificial neural network has better nonlinear mapping ability and high learning ability, which overcomes the deficiencies. Therefore,...
Coal resource plays an irreplaceable role in economy development, which decides the importance of coal mine investment. The influencing factors of coal mine investment are complicated and diversified, so the valuation should be flexible. In this paper, firstly, the concept and classification of real option are introduced. Then, combining to the compound binomial tree for stages, the principle and...
Government supervision is one of the significant factors which influence the supervision of coal mine production safety, and the level of coal mine production safety is related directly to the performance of government supervision. In this paper, Dempster-Shafer theory is used to analyze the influencing factors of government supervision performance. Then, the index system and the evaluation model...
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