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<p>Urea deposition is a common failure mode in diesel Urea Selective Catalytic Reduction (Urea-SCR) systems. The increased urea injection required under low-temperature conditions driven by stricter emission regulations, along with the trend toward close-coupled after-treatment system (ATS) arrangements, has led to a higher risk of urea deposit formation. This study proposes a quantitative method to assess the inherent anti-deposition capability (ADC) of Urea-SCR hardware. Steady-state urea deposit risk tests and simulation analyses of the deposit processes were conducted using the same diesel engine and after-treatment system equipped with different injection and mixing systems. This method facilitates the quantitative evaluation of hardware anti-deposition capability (HADC) and identifies the distinct contributions of injection and mixing systems to deposit formation, thereby providing clear guidance for optimizing ATS hardware selection to enhance HADC.</p>

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Quantitative Evaluation of Urea-SCR System Hardware Anti-deposition Capability

  • 期刊论文

  • 发表日期：

    2026年1月5日

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  • Tiantian Wang,
  • Gang Chen,
  • Xianju Yuan,
  • Mahmoud Mabrouk

摘要

Urea deposition is a common failure mode in diesel Urea Selective Catalytic Reduction (Urea-SCR) systems. The increased urea injection required under low-temperature conditions driven by stricter emission regulations, along with the trend toward close-coupled after-treatment system (ATS) arrangements, has led to a higher risk of urea deposit formation. This study proposes a quantitative method to assess the inherent anti-deposition capability (ADC) of Urea-SCR hardware. Steady-state urea deposit risk tests and simulation analyses of the deposit processes were conducted using the same diesel engine and after-treatment system equipped with different injection and mixing systems. This method facilitates the quantitative evaluation of hardware anti-deposition capability (HADC) and identifies the distinct contributions of injection and mixing systems to deposit formation, thereby providing clear guidance for optimizing ATS hardware selection to enhance HADC.