The last edit to this post was made by ylb913 on 2016-8-26 at 20:32. To put it this way: 1. Using the traditional formulas from the past, namely calculating based on the volume of acidic gas, the hydrogen sulfide concentration in that gas, the gas-to-air ratio, and the total sulfur concentration in the exhaust gases, is an unreliable method. This is because there are already large errors in the measurements of the volume of acidic gas and the volume of air, and these errors are further compounded by the inaccuracies in analytical tests, resulting in an even larger overall error. 2. Therefore, later on, there was a greater tendency to use the sulfur production amount and the sulfur dioxide emissions from flue gas for calculations, as the results obtained in this way are definitely more reliable. However, for the current Claus + exhaust gas treatment process, the calculation result of this method is the total sulfur conversion rate, rather than the one-pass conversion rate. 3. The one-way conversion rate still needs to be calculated using \"the volume of acidic gas, the hydrogen sulfide concentration in that gas, as well as the gas-to-air ratio and the total sulfur concentration in the exhaust gases.\" However, this calculation method requires performing a material balance, and the flow rate or concentration of acidic gas must be adjusted based on the actual sulfur production volume. – I usually rely on the concentration of acidic gas rather than its flow rate. ——However, the analysis results for acidic gases also need to be normalized; the air content in them must be removed first, and then normalization is carried out. \"Normalization\" means that after removing the air, the concentration of each component is adjusted to 100%. ——For the concentration of total sulfur in exhaust gases, one can mostly rely on the results obtained from \"on-line instruments\" – of course, when these values are not within an acceptable range, it remains necessary to work with assumptions. Calculations are typically done using concentrations accepted by most people in this industry (such as around 0.8%, 1.0%, or 1.2%; the lowest value I’ve seen is 0.7%, which is a theoretical figure from laboratory tests and not very useful in practice; the highest value I accept is 1.4%).