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<p>The Claus process is a common method for removing hydrogen sulfide (a corrosive gas) from natural gas and petroleum streams by converting it into elemental sulfur. This study develops a mathematical model for the Claus process reactors, considering the impact of temperature on reaction rates. The model accurately predicts temperature changes throughout the reactors, with low errors of 0.36% and 1.058% at the outlet of the first and second reactors, respectively. Similarly, model errors for the primary reactants H₂S, SO₂, and S in the first reactor were 0.38%, 1.42%, and 1.70%, respectively, and for the second reactor, 0.18%, 3.65%, and − 0.9%, respectively. A comparison of the model’s predicted temperature, pressure, and product concentration distributions along the reactor bed with reported data from the Lavan refinery’s SRU and existing literature indicates the satisfactory performance of the proposed model. To optimize reactor lengths, the total reactor length was held constant, and plots were generated by varying the length of the first reactor, examining the total sulfur production of both reactors and their outlet temperatures. Analysis of the results indicates that the two reactors are operating under optimal conditions with their current lengths.</p>

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Presenting a Mathematical Model with the Aim of Modeling the Catalytic Reactors of the Claus Process of the Sulfur Recovery Unit

  • 期刊论文

  • 发表日期：

    2025年3月10日

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  • Moslem Azadi Chegini,
  • Farshad Farahbod

摘要

The Claus process is a common method for removing hydrogen sulfide (a corrosive gas) from natural gas and petroleum streams by converting it into elemental sulfur. This study develops a mathematical model for the Claus process reactors, considering the impact of temperature on reaction rates. The model accurately predicts temperature changes throughout the reactors, with low errors of 0.36% and 1.058% at the outlet of the first and second reactors, respectively. Similarly, model errors for the primary reactants H₂S, SO₂, and S in the first reactor were 0.38%, 1.42%, and 1.70%, respectively, and for the second reactor, 0.18%, 3.65%, and − 0.9%, respectively. A comparison of the model’s predicted temperature, pressure, and product concentration distributions along the reactor bed with reported data from the Lavan refinery’s SRU and existing literature indicates the satisfactory performance of the proposed model. To optimize reactor lengths, the total reactor length was held constant, and plots were generated by varying the length of the first reactor, examining the total sulfur production of both reactors and their outlet temperatures. Analysis of the results indicates that the two reactors are operating under optimal conditions with their current lengths.