首页> 外文期刊>Journal of near infrared spectroscopy >On-line near infrared monitoring of ammonium and dry matter in bioslurry for robust biogas production: a full-scale feasibility study
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On-line near infrared monitoring of ammonium and dry matter in bioslurry for robust biogas production: a full-scale feasibility study

机译:在线近红外监测生物浆中铵和干物质,以实现稳定的沼气生产:全面的可行性研究

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Heterogeneous substrates fed into agricultural biogas plants originate from many sources with resulting quality fluctuations potentially inhibiting the process. Biogas yield can be substantially increased by optimisation of the organic dry matter load. In this study, near infrared (NIR) spectroscopy was applied on-line in a re-circulating loop configuration operating identically as a full-scale setup. Ammonium could be modelled in the industrially-relevant range 2.42-8.52g L~(-1) with an excellent accuracy and precision, slope ~1.0, r~2=0.97, corresponding to a relative root mean square error of prediction (RMSEP) of 6.7%. Also, dry matter in the similar plant relevant range 5.8-10.8 weight-percent could be predicted with acceptable accuracy (slope ~1.0, r~2=0.83, and a relative RMSEP below 8.0%. Based on these performance characteristics, it was concluded that NIR spectroscopy can be applied for optimising the efficiency of current and future biogas plants, as well as in biorefinery operations converting heterogeneous bioslurry, energy crops, and wastes into value-added products.
机译:馈入农业沼气厂的异质底物来自许多来源,其质量波动可能会抑制该过程。通过优化有机干物质负荷,可以显着提高沼气产量。在这项研究中,将近红外(NIR)光谱在线应用于循环回路配置中,该配置与满量程设置相同。铵可以在与工业相关的2.42-8.52g L〜(-1)范围内建模,具有极好的精度和精确度,斜率〜1.0,r〜2 = 0.97,对应于预测的相对均方根误差(RMSEP) 6.7%。并且,可以预测出在相似植物相关范围5.8-10.8%(重量)范围内的干物质,其准确度可以接受(斜率〜1.0,r〜2 = 0.83,相对RMSEP小于8.0%),并据此得出结论。 NIR光谱技术可用于优化当前和未来沼气厂的效率,以及将异质生物浆,能源作物和废物转化为增值产品的生物炼制作业。

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