Jacobi H Fabian, Moschner Christian R, Hartung Eberhard
Institute of Agricultural Engineering, Christian-Albrechts-University Kiel, Max-Eyth-strasse 6, 24118 Kiel, Germany.
Water Sci Technol. 2009;60(2):339-46. doi: 10.2166/wst.2009.345.
Recently biogas production from agricultural sources has rapidly developed. Therefore the demands on biogas plants to optimise the efficiency of the anaerobic digestion (AD) process have grown immensely. At present there is no online-supervision tool available to monitor the AD process, but costly and time-consuming chemical analyses are necessary. The possibility to use near-infrared spectroscopy (NIRS) in order to track relevant process parameters like total volatile fatty acids (VFA), acetic acid and propionic acid was investigated in the present research project. A NIR-sensor was integrated into a full-scale 1 MW biogas plant and NIR-spectra of the fermenter contents were recorded semi-continuously for 500 days. Weekly samples were taken and analysed for the above mentioned parameters. Calibration models were calculated, capable of following these parameters: VFA (r(2)=0.94), acetic acid (r(2)=0.69), propionic acid (r(2)=0.89).
近年来，来自农业源的沼气生产迅速发展。因此，对沼气厂优化厌氧消化（AD）过程效率的要求大幅提高。目前，尚无用于监测AD过程的在线监测工具，而是需要进行成本高昂且耗时的化学分析。在本研究项目中，研究了使用近红外光谱（NIRS）来跟踪相关过程参数（如总挥发性脂肪酸（VFA）、乙酸和丙酸）的可能性。将一个近红外传感器集成到一个全规模的1兆瓦沼气厂中，并对发酵罐内容物的近红外光谱进行了500天的半连续记录。每周采集样本并分析上述参数。计算出了能够跟踪这些参数的校准模型：VFA（r² = 0.94）、乙酸（r² = 0.69）、丙酸（r² = 0.89）。
