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An improved titration model reducing over estimation of total volatile fatty acids in anaerobic digestion of energy crop, animal slurry and food waste. / Purser, B. J. Jobling; Thai, S. -M.; Fritz, T.; Esteves, Sandra; Dinsdale, R. M.; Guwy, Alan.

Yn: Water Research, Cyfrol 61, 15.09.2014, t. 162-170.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygl

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@article{9a01da1409414d8bbaf796e36cde110d,
title = "An improved titration model reducing over estimation of total volatile fatty acids in anaerobic digestion of energy crop, animal slurry and food waste",
abstract = "Titration methodologies have been used for the many years for low cost routine monitoring of full scale anaerobic digestion plants. These methodologies have been correlated to indicate the carbonate alkalinity and the volatile fatty acids (VFA) content within digesters. Two commonly used two end-point titration methods were compared using a dataset of 154 samples from energy crop and animal slurry digestates and were shown to be inaccurate in the estimation of tVFA. Using this dataset correlated with HPLC VFA analysis, two empirical bivariate linear regression equations were derived, where the validation dataset showed an absolute tVFA mean error improvement from +/- 3386 and 3324 mg kg(-1) tVFA to +/- 410 and +/- 286 mg kg(-1) tVFA, respectively. The same equation was then applied to a food waste dataset where an absolute tVFA mean error was improved from +/- 3828 to +/- 576 mg kg(-1) tVFA. The newly derived titration equations can provide greater confidence in digester performance monitoring and are tools that can improve digester management. (C) 2014 Elsevier Ltd. All rights reserved.",
keywords = "Anaerobic digestion, Titration volatile fatty acids, Process monitoring, Digester stability, Empirical model, PILOT-SCALE, AQUEOUS SAMPLES, PROCESS FAILURE, CO-DIGESTION, POWER-PLANT, SLUDGE, BIOGAS, WASTEWATERS, BICARBONATE, CARBONATE",
author = "Purser, {B. J. Jobling} and Thai, {S. -M.} and T. Fritz and Sandra Esteves and Dinsdale, {R. M.} and Alan Guwy",
year = "2014",
month = "9",
day = "15",
doi = "10.1016/j.watres.2014.05.020",
language = "English",
volume = "61",
pages = "162--170",
journal = "Water Research",
issn = "0043-1354",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - An improved titration model reducing over estimation of total volatile fatty acids in anaerobic digestion of energy crop, animal slurry and food waste

AU - Purser, B. J. Jobling

AU - Thai, S. -M.

AU - Fritz, T.

AU - Esteves, Sandra

AU - Dinsdale, R. M.

AU - Guwy, Alan

PY - 2014/9/15

Y1 - 2014/9/15

N2 - Titration methodologies have been used for the many years for low cost routine monitoring of full scale anaerobic digestion plants. These methodologies have been correlated to indicate the carbonate alkalinity and the volatile fatty acids (VFA) content within digesters. Two commonly used two end-point titration methods were compared using a dataset of 154 samples from energy crop and animal slurry digestates and were shown to be inaccurate in the estimation of tVFA. Using this dataset correlated with HPLC VFA analysis, two empirical bivariate linear regression equations were derived, where the validation dataset showed an absolute tVFA mean error improvement from +/- 3386 and 3324 mg kg(-1) tVFA to +/- 410 and +/- 286 mg kg(-1) tVFA, respectively. The same equation was then applied to a food waste dataset where an absolute tVFA mean error was improved from +/- 3828 to +/- 576 mg kg(-1) tVFA. The newly derived titration equations can provide greater confidence in digester performance monitoring and are tools that can improve digester management. (C) 2014 Elsevier Ltd. All rights reserved.

AB - Titration methodologies have been used for the many years for low cost routine monitoring of full scale anaerobic digestion plants. These methodologies have been correlated to indicate the carbonate alkalinity and the volatile fatty acids (VFA) content within digesters. Two commonly used two end-point titration methods were compared using a dataset of 154 samples from energy crop and animal slurry digestates and were shown to be inaccurate in the estimation of tVFA. Using this dataset correlated with HPLC VFA analysis, two empirical bivariate linear regression equations were derived, where the validation dataset showed an absolute tVFA mean error improvement from +/- 3386 and 3324 mg kg(-1) tVFA to +/- 410 and +/- 286 mg kg(-1) tVFA, respectively. The same equation was then applied to a food waste dataset where an absolute tVFA mean error was improved from +/- 3828 to +/- 576 mg kg(-1) tVFA. The newly derived titration equations can provide greater confidence in digester performance monitoring and are tools that can improve digester management. (C) 2014 Elsevier Ltd. All rights reserved.

KW - Anaerobic digestion

KW - Titration volatile fatty acids

KW - Process monitoring

KW - Digester stability

KW - Empirical model

KW - PILOT-SCALE

KW - AQUEOUS SAMPLES

KW - PROCESS FAILURE

KW - CO-DIGESTION

KW - POWER-PLANT

KW - SLUDGE

KW - BIOGAS

KW - WASTEWATERS

KW - BICARBONATE

KW - CARBONATE

U2 - 10.1016/j.watres.2014.05.020

DO - 10.1016/j.watres.2014.05.020

M3 - Article

VL - 61

SP - 162

EP - 170

JO - Water Research

JF - Water Research

SN - 0043-1354

ER -

ID: 371786