Biochemical methane potential (BMP) tests: Reducing test time by early parameter estimation.
WASTE MANAGEMENT (NEW YORK, N.Y.) 2018;
71:19-24. [PMID:
29033134 DOI:
10.1016/j.wasman.2017.10.009]
[Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 09/09/2017] [Accepted: 10/09/2017] [Indexed: 06/07/2023]
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.
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