Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8870176 | Waste Management | 2018 | 6 Pages |
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 >100 days), 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 â¤Â 0.1 dâ1) have a minimum testing times of â¥15 days, (ii) moderately biodegradable substrates (0.1 < k < 0.2 dâ1) have a minimum testing times between 8 and 15 days, and (iii) rapidly biodegradable substrates (k â¥Â 0.2 dâ1) have testing times lower than 7 days.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geotechnical Engineering and Engineering Geology
Authors
C. Da Silva, S. Astals, M. Peces, J.L. Campos, L. Guerrero,