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Oxidation of Mercury across Selective Catalytic Reduction Catalysts in Coal-Fired Power Plants

机译:燃煤电厂中选择性催化还原催化剂上汞的氧化

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A kinetic model for predicting the amount of mercury (Hg) oxidation across selective catalytic reduction (SCR) systems in coal-fired power plants was developed and tested. The model incorporated the effects of diffusion within the porous SCR catalyst and the competition between ammonia and Hg for active sites on the catalyst. Laboratory data on Hg oxidation in simulated flue gas and slipstream data on Hg oxidation in flue gas from power plants were modeled. The model provided good fits to the data for eight different catalysts, both plate and monolith, across a temperature range of 280-420℃, with space velocities varying from 1900 to 5000 hr~(-1). Space velocity, temperature, hydrochloric acid content of the flue gas, ratio of ammonia to nitric oxide, and catalyst design all affected Hg oxidation across the SCR catalyst. The model can be used to predict the impact of coal properties, catalyst design, and operating conditions on Hg oxidation across SCRs.
机译:建立并测试了预测燃煤电厂中选择性催化还原(SCR)系统中汞(Hg)氧化量的动力学模型。该模型结合了多孔SCR催化剂内扩散的影响以及氨和Hg之间竞争催化剂上活性位的影响。对模拟烟气中汞氧化的实验室数据和电厂发烟气中汞氧化的支流数据进行了建模。该模型在280-420℃的温度范围内,空速从1900到5000 hr〜(-1)范围内,适合于八种不同催化剂(板式和整体式)的数据。空速,温度,烟道气中的盐酸含量,氨与一氧化氮的比例以及催化剂设计都会影响SCR催化剂中的汞氧化。该模型可用于预测煤性质,催化剂设计和操作条件对跨SCR的汞氧化的影响。

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