3 results about "Coal chemistry" patented technology

The invention relates to a high-temperature coal ash oxygen carrier magnetic separation and heat recovery method and system, and belongs to the technical field of coal chemical chain gasification. The system comprises a circulating fluidized bed reactor (a fuel reactor and an air reactor), a gasifying agent supply device, a magnetic separation device, a cyclone separator, an air preheating heat exchanger, a condenser, a gas-liquid separator, a two-way material circulation control device and a heat energy recovery system. The system recycles heat of oxygen carrier particles by taking vapour of a gasifying agent as a fluidizing medium and sends the heat back to the reactor, and the stable self-heating operation of the system is maintained through a double-path material circulation control device. The two bottleneck problems of large mechanical loss of the oxygen carrier and high ash discharge heat loss in the chemical looping process are synchronously solved, heat in the system is recycled, the requirement for an external heat source is remarkably reduced, meanwhile, the oxygen carrier separation efficiency is improved, integrated operation of efficient separation of coal ash, oxygen carrier recovery and heat recovery is achieved, and the industrial production cost is reduced. And continuous and stable self-heating operation of the system is guaranteed under the condition that no extra large amount of heat supply is needed.

The application discloses a coal soluble organic matter molecular category content prediction method based on a solvent domain, relates to the field of coal chemical analysis, and comprises the following steps: S1, acquiring sample data and recording solvent domain identification; S2, performing component identification on each sample to obtain relative content; S3, merging component relative content into a molecular category content candidate set; S4, constructing a feature matrix with component relative content as input and performing data preprocessing; S5, performing unsupervised evaluation on the molecular category content candidate set; and S6, training a prediction model and outputting a content prediction result. The sample is grouped through sequential solvent sub-domain processing, component features are unified, and molecular categories are merged, unsupervised target category screening is performed in combination with principal component analysis and hierarchical cluster analysis, accurate prediction of the coal soluble organic matter molecular category content is realized, and data support is provided for clean and efficient utilization of coal and optimization of a conversion process.

The present application aims at providing a simple method for judging whether coal can generate mesophase, belonging to the technical field of coal chemistry, coal chemical industry, carbon material and heavy oil processing, which comprises the following steps: selecting bituminous coal as coal quality raw material, crushing and air drying; performing pyrolysis experiment on the coal to obtain DSC curve; analyzing whether exothermic peak exists in the DSC curve to judge whether mesophase can be generated. Comparing the simple judgment method with the carbonization experiment of coal quality and the picture analysis under the polarizing microscope to prove the feasibility of the method for directly judging whether coal can generate mesophase through simple thermogravimetric DSC experiment curve. The method is simple and convenient, and avoids the complex process of pyrolysis carbonization, tablet preparation and observation of small ball under the polarizing microscope.