The potential for online monitoring of short-term process dynamics in anaerobic digestion using near-infrared spectroscopy

L. Christian Krapf; Hauke Heuwinkel; Urs Schmidhalter; Andreas Gronauer

doi:10.1016/j.biombioe.2012.10.027

The potential for online monitoring of short-term process dynamics in anaerobic digestion using near-infrared spectroscopy

L. Christian Krapf, Hauke Heuwinkel, Urs Schmidhalter, Andreas Gronauer

Life Sciences

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

This work reports the development of a near-infrared (NIR) spectroscopy online calibration for monitoring volatile solids (VS) and total volatile fatty acids (VFA) process parameters during anaerobic digestion (AD). The objective was to investigate its potential to estimate the dynamics of AD process parameters after feeding events. A recirculation loop was employed to record online measurements during an eight-month experiment using a 3.3 m³ pilot plant fed with maize silage under mesophilic conditions. Sampling was performed to conduct calibrations and subsequent test-set validations, comparing the NIR spectroscopy estimates to the reference values. The calibrated accuracy in terms of mean prediction errors (RMSEP) was 3 g kg^-1 for VS and 0.9 g kg^-1 for VFA in the fresh matter. By applying the calibrations to time series spectra, the model accuracy provided adequate indications of the concentration changes, including highly sensitive monitoring of short-term VFA dynamics.

Original language	English
Pages (from-to)	224-230
Number of pages	7
Journal	Biomass and Bioenergy
Volume	48
DOIs	https://doi.org/10.1016/j.biombioe.2012.10.027
State	Published - Jan 2013

Keywords

Biogas production
NIR spectroscopy
PLS regression
Total volatile fatty acids
Volatile solids

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biombioe.2012.10.027

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title = "The potential for online monitoring of short-term process dynamics in anaerobic digestion using near-infrared spectroscopy",

abstract = "This work reports the development of a near-infrared (NIR) spectroscopy online calibration for monitoring volatile solids (VS) and total volatile fatty acids (VFA) process parameters during anaerobic digestion (AD). The objective was to investigate its potential to estimate the dynamics of AD process parameters after feeding events. A recirculation loop was employed to record online measurements during an eight-month experiment using a 3.3 m3 pilot plant fed with maize silage under mesophilic conditions. Sampling was performed to conduct calibrations and subsequent test-set validations, comparing the NIR spectroscopy estimates to the reference values. The calibrated accuracy in terms of mean prediction errors (RMSEP) was 3 g kg-1 for VS and 0.9 g kg-1 for VFA in the fresh matter. By applying the calibrations to time series spectra, the model accuracy provided adequate indications of the concentration changes, including highly sensitive monitoring of short-term VFA dynamics.",

keywords = "Biogas production, NIR spectroscopy, PLS regression, Total volatile fatty acids, Volatile solids",

author = "Krapf, \{L. Christian\} and Hauke Heuwinkel and Urs Schmidhalter and Andreas Gronauer",

note = "Funding Information: This project was financially supported by the Agency for Renewable Resources (FNR) and the Bavarian State Ministry of Agriculture and Forests . The authors thank NIR-Online GmbH and H{\"o}gemann GmbH for providing the spectrometer and the Anamenter. We thank Thomas Schneider and Tomas Qvarfort for constant support throughout this work.",

year = "2013",

month = jan,

doi = "10.1016/j.biombioe.2012.10.027",

language = "English",

volume = "48",

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journal = "Biomass and Bioenergy",

issn = "0961-9534",

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AU - Krapf, L. Christian

AU - Heuwinkel, Hauke

AU - Schmidhalter, Urs

AU - Gronauer, Andreas

N1 - Funding Information: This project was financially supported by the Agency for Renewable Resources (FNR) and the Bavarian State Ministry of Agriculture and Forests . The authors thank NIR-Online GmbH and Högemann GmbH for providing the spectrometer and the Anamenter. We thank Thomas Schneider and Tomas Qvarfort for constant support throughout this work.

PY - 2013/1

Y1 - 2013/1

N2 - This work reports the development of a near-infrared (NIR) spectroscopy online calibration for monitoring volatile solids (VS) and total volatile fatty acids (VFA) process parameters during anaerobic digestion (AD). The objective was to investigate its potential to estimate the dynamics of AD process parameters after feeding events. A recirculation loop was employed to record online measurements during an eight-month experiment using a 3.3 m3 pilot plant fed with maize silage under mesophilic conditions. Sampling was performed to conduct calibrations and subsequent test-set validations, comparing the NIR spectroscopy estimates to the reference values. The calibrated accuracy in terms of mean prediction errors (RMSEP) was 3 g kg-1 for VS and 0.9 g kg-1 for VFA in the fresh matter. By applying the calibrations to time series spectra, the model accuracy provided adequate indications of the concentration changes, including highly sensitive monitoring of short-term VFA dynamics.

AB - This work reports the development of a near-infrared (NIR) spectroscopy online calibration for monitoring volatile solids (VS) and total volatile fatty acids (VFA) process parameters during anaerobic digestion (AD). The objective was to investigate its potential to estimate the dynamics of AD process parameters after feeding events. A recirculation loop was employed to record online measurements during an eight-month experiment using a 3.3 m3 pilot plant fed with maize silage under mesophilic conditions. Sampling was performed to conduct calibrations and subsequent test-set validations, comparing the NIR spectroscopy estimates to the reference values. The calibrated accuracy in terms of mean prediction errors (RMSEP) was 3 g kg-1 for VS and 0.9 g kg-1 for VFA in the fresh matter. By applying the calibrations to time series spectra, the model accuracy provided adequate indications of the concentration changes, including highly sensitive monitoring of short-term VFA dynamics.

KW - Biogas production

KW - NIR spectroscopy

KW - PLS regression

KW - Total volatile fatty acids

KW - Volatile solids

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DO - 10.1016/j.biombioe.2012.10.027

M3 - Article

AN - SCOPUS:84871670066

SN - 0961-9534

VL - 48

SP - 224

EP - 230

JO - Biomass and Bioenergy

JF - Biomass and Bioenergy

ER -

The potential for online monitoring of short-term process dynamics in anaerobic digestion using near-infrared spectroscopy

Abstract

Keywords

UN SDGs

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