TY - JOUR
T1 - On-line near infrared monitoring of ammonium and dry matter in bioslurry for robust biogas production
T2 - A full-scale feasibility study
AU - Madsen, Michael
AU - Ihunegbo, Felicia N.
AU - Holm-Nielsen, Jens Bo
AU - Halstensen, Maths
AU - Esbensen, Kim H.
PY - 2012/12
Y1 - 2012/12
N2 - 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.
AB - 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.
KW - Ammonium
KW - Anaerobic digestion (AD)
KW - Dry matter
KW - Multivariate calibration
KW - Near infrared spectroscopy
KW - NIR
KW - On-line process monitoring
KW - Test set validation
UR - http://www.scopus.com/inward/record.url?scp=84871788065&partnerID=8YFLogxK
U2 - 10.1255/jnirs.1030
DO - 10.1255/jnirs.1030
M3 - Article
SN - 0967-0335
VL - 20
SP - 635
EP - 645
JO - Journal of Near Infrared Spectroscopy
JF - Journal of Near Infrared Spectroscopy
IS - 6
ER -