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Full-Scale Methanol Optimization at a Step-Feed BNR Demonstration Facility

机译:一步进料的BNR示范设施的全规模甲醇优化

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A study at a 25-mgd full-scale, four pass step-feed BNR treatment plant was carried out tooptimize supplemental carbon addition. The study began with methanol addition to all fourpasses, which showed that carbon addition was only needed in the final two passes (Passes C andD) to achieve optimal denitrification. Further optimization to single-point (Pass D) carbonaddition revealed that at low methanol doses, the traditional denitrification theory significantlyover estimated the actual denitrification (nitrate removal) seen in the full-scale plant by 65%.Denitrification theory over-predicted methanol-driven nitrate removal by 900 lbs, with only 230lbs being removed by methylotrophs. When the methanol dose was doubled, the amount ofnitrate removal that was expected from the increased dose was achieved (~1,130 lbs), yet the65% short-fall (900 lbs of nitrate) seen at the lower dose was still observed indicating that themethanol denitrification kinetics at the low methanol dose do not accurately predict nitrateremoval in this high rate system.
机译:在25 mgd的全规模,四阶段分批进料的BNR处理厂进行了一项研究,以优化补充碳的添加。该研究首先从所有四道工序中添加甲醇开始,这表明仅在最后两道工序(C和D道工序)中才需要添加碳,以实现最佳的反硝化效果。对单点(D通道)碳加成的进一步优化显示,在低甲醇剂量下,传统的反硝化理论大大估计了满规模工厂中实际的反硝化作用(硝酸盐去除)达65%。硝酸盐去除量为900磅,而甲基营养菌仅去除了230磅。当甲醇剂量加倍时,达到了预期的硝酸盐去除量(〜1,130 lbs),但在较低剂量下仍观察到65%的下降(900 lbs硝酸盐),表明它们进行了乙醇反硝化在此高速率系统中,低甲醇剂量下的动力学无法准确预测硝酸盐的去除。

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