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Fast ADM1 implementation for the optimization of feeding strategy using near infrared spectroscopy
- Source :
- Water Research, Water Research, IWA Publishing, 2017, 122, pp.27-35. ⟨10.1016/j.watres.2017.05.051⟩, Water Research (122), 27-35. (2017)
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- Optimization of feeding strategy is an essential issue of anaerobic co-digestion that can be greatly assisted with simulation tools such as the Anaerobic Digestion Model 1. Using this model, a set of parameters, such as the biochemical composition of the waste to be digested, its methane production yield and kinetics, has to be defined for each new substrate. In the recent years, near infrared analyses have been reported as a fast and accurate solution for the estimation of methane production yield and biochemical composition. However, the estimation of methane production kinetics requires time-consuming analysis. Here, a partial least square regression model was developed for a fast and efficient estimation of methane production kinetics using near infrared spectroscopy on 275 bio-waste samples. The development of this characterization reduces the time of analysis from 30 days to a matter of minutes. Then, biochemical composition and methane production yield and kinetics predicted by near infrared spectroscopy were implemented in a modified Anaerobic Digestion Model n°1 in order to simulate the performance of anaerobic digestion processes. This approach was validated using different data sets and was demonstrated to provide a powerful predictive tool for advanced control of anaerobic digestion plants and feeding strategy optimization.
- Subjects :
- anaerobic digestion
ADM1
spectroscopy
kinetics
methane potential
modeling
Environmental Engineering
020209 energy
[SDV]Life Sciences [q-bio]
Kinetics
Analytical chemistry
digestion anaérobie
02 engineering and technology
010501 environmental sciences
7. Clean energy
01 natural sciences
near-infrared
modelling
Bioreactors
Partial least squares regression
0202 electrical engineering, electronic engineering, information engineering
Biochemical composition
Anaerobiosis
Methane production
Waste Management and Disposal
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
modélisation
Spectroscopy, Near-Infrared
cinétique
Chemistry
Ecological Modeling
Near-infrared spectroscopy
Pollution
potentiel méthane
Anaerobic digestion
Yield (chemistry)
spectroscopie proche infrarouge
Biological system
Anaerobic exercise
Subjects
Details
- Language :
- English
- ISSN :
- 00431354
- Database :
- OpenAIRE
- Journal :
- Water Research, Water Research, IWA Publishing, 2017, 122, pp.27-35. ⟨10.1016/j.watres.2017.05.051⟩, Water Research (122), 27-35. (2017)
- Accession number :
- edsair.doi.dedup.....a581aad660e4d4cfca3123ed569d262d