| Literature DB >> 29033134 |
C Da Silva1, S Astals2, M Peces3, J L Campos4, L Guerrero5.
Abstract
Biochemical methane potential (BMP) test is a key analytical technique to assess the implementation and optimisation of anaerobic biotechnologies. However, this technique is characterised by long testing times (from 20 to >100days), which is not suitable for waste utilities, consulting companies or plants operators whose decision-making processes cannot be held for such a long time. This study develops a statistically robust mathematical strategy using sensitivity functions for early prediction of BMP first-order model parameters, i.e. methane yield (B0) and kinetic constant rate (k). The minimum testing time for early parameter estimation showed a potential correlation with the k value, where (i) slowly biodegradable substrates (k≤0.1d-1) have a minimum testing times of ≥15days, (ii) moderately biodegradable substrates (0.1<k<0.2d-1) have a minimum testing times between 8 and 15 days, and (iii) rapidly biodegradable substrates (k≥0.2d-1) have testing times lower than 7days.Entities:
Keywords: Anaerobic digestion; Batch test; Biomethane potential; Kinetics; Modelling; Sensitivity functions
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Year: 2017 PMID: 29033134 DOI: 10.1016/j.wasman.2017.10.009
Source DB: PubMed Journal: Waste Manag ISSN: 0956-053X Impact factor: 7.145