Abstract
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 2.42-8.52 g L-1 with an excellent accuracy and precision, slope ~1.0, r2 = 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, r2 = 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.
| Original language | English |
|---|---|
| Pages (from-to) | 635-645 |
| Number of pages | 11 |
| Journal | Journal of Near Infrared Spectroscopy |
| Volume | 20 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2012 |
Keywords
- Ammonium
- Anaerobic digestion (AD)
- Dry matter
- Multivariate calibration
- Near infrared spectroscopy
- NIR
- On-line process monitoring
- Test set validation
Programme Area
- Programme Area 3: Energy Resources
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