[Weekly topic] Problems with coal quality analysis data
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If the design coal quality data of a mine is analyzed by the coal agency through the mine's detailed coal inspection report, and based on the conventional coal gasification design, it is suspected that there is a mismatch in the industrial analysis, elemental analysis and calorific value of the coal quality data. For example, the calorific value may be too high, resulting in low coal gasification calculation energy efficiency. How to solve the problem in a more reasonable manner?
The reference for coal gasification is low-level calorific value. You don’t want high-level calorific value.
Gas efficiency can be calculated based on industrial analysis and elemental analysis.
Usually the low calorific value is used. The calorific value of the gas can be calculated based on industrial analysis and elemental analysis. The calorific value of the raw coal is used to calculate the efficiency.
The problem you mentioned seems to be relatively common in coal chemical projects currently being carried out in China. I personally think so: 1. I will not discuss the human factors in the accuracy of samples. ； 2. The preservation, transportation and processing of coal gasification coal samples are very important. The samples cannot be allowed to lose water, enter water, oxidize, etc. during these processes. ； 3. Whether the sample is highly characteristic and whether the sample can represent the characteristics of this mining area needs to be analyzed by professionals. It is not a simple addition and average of data. Data processing and error analysis are a science. ； 4. It is also critical to determine whether the coal seam can be mined and analyzed. ； 5. It is also critical whether the institution that makes samples is doing so from a fair and equitable perspective. 6. It is best to have a certain plan for the entire process, analyze the causes of sample distortion, and make plans and corresponding preparations.
Coal chemical industry, especially coal gasification to methanol, I have done all the projects from writing notebooks to preliminary sample making, process analysis, design, construction, start-up, production operation, and transformation, and I have a deep feeling.
The main reason is that coal quality data is now analyzed through coal mine survey reports. The coal mine has not yet been mined, so it is difficult to obtain coal samples and find professional institutions for analysis and testing.
What the poster mentioned should belong to the analysis of the coal supply plan. Then the coal quality analysis unit will predict the coal quality of the gasifier based on the detailed survey report of the coal mine, the coal mining plan and the coal chemical project plan, and propose reasonable data. However, the detailed survey data needs to be combined with the microscopic components of the coal for judgment and analysis ( http://www.docin.com/p-835160407.html ), and at the same time, it can be compared with the coal samples mined in adjacent mining areas, so that the data should be closest to the real situation.
Now that the coal mine is being mined, the gasification raw material coal design data provided by the coal mine survey data has been verified from some aspects and has some problems. How to persuade the Coal Institute to modify the data?
If mined, take samples and analyze them so that they can be modified and convincing.
The calorific value is closely related to the ash and moisture content of coal, so it is closely related to the sample. For coal mine survey, due to limited points, it may not necessarily be a characteristic coal sample. It is recommended that you contact more coal mines that have been mined around you. As long as they are in the same coal belt, the deviation should not be large. Can be used as a reference.