Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH
In this work, a risk index to monitor an anaerobic digestion process is established. The index is derived from the dynamical analysis of the system and it is composed by two conditions ensuring an optimum operating conditions inside bioreactor. The analysis is performed using bifurcation theory in o...
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Online Access: | https://doi.org/10.1515/nleng-2018-0055 |
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doaj-8eb8558e7d5641e5aa986e68b8bb85492021-09-06T19:21:07ZengDe GruyterNonlinear Engineering2192-80102192-80292019-08-0191355010.1515/nleng-2018-0055nleng-2018-0055Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pHAlzate-Ibañez Angélica M.0Ocampo-Martinez Carlos1Alzate Carlos A. Cardona2Montoya Víctor M. Trejos3Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Electrica, Electrónica y Computación, Universidad Nacional de Colombia, Sede Manizales, Bloque Q, Campus La Nubia, Manizales 170003, ColombiaInstitut de Robòtica i Informàtica Industrial (CSIC-UPC), Universitat Politècnica de Catalunya, Llorens i Artigas 4-6, 08028, Barcelona, SpainInstituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia Sede Manizales, Cra. 27 No. 64-60, Manizales 170003, ColombiaInstituto de Ciencias Básicas e Ingeniería, Universidad Autónoma del Estado de Hidalgo, Carretera Pachuca-Tulancingo Km. 4.5, Col. Carboneras, C.P. 42184, Mineral de la Reforma, Hidalgo, MéxicoIn this work, a risk index to monitor an anaerobic digestion process is established. The index is derived from the dynamical analysis of the system and it is composed by two conditions ensuring an optimum operating conditions inside bioreactor. The analysis is performed using bifurcation theory in order to study the effects of dilution rate, temperature and pH parameters at behavior system. For these purpose an extended version of the mathematical model proposed by Bernard [1] involving the dependence of growth kinetics on temperature and pH is used. The analysis shows both microbial growth and the performance of the bioprocess, when is highly affected by these parameters, indeed the washout condition occurs by combining a fold bifurcation and a transcritical bifurcation. From bifurcation diagrams both safety and optimal operation regions of the bioreactor are defined. Consequently, based on two conditions of stability a risk index to monitor the bioprocess on-line is proposed. The index is evaluated via numerical simulations allowing to detect system destabilization. The results obtained in this work may provide a useful methodology to monitor an anaerobic process and to guarantee the optimal performance of the bioreactor given that the model is sufficiently accurate.https://doi.org/10.1515/nleng-2018-0055anaerobic digestionbioreactordynamic analysisbifurcation theoryrisk analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alzate-Ibañez Angélica M. Ocampo-Martinez Carlos Alzate Carlos A. Cardona Montoya Víctor M. Trejos |
spellingShingle |
Alzate-Ibañez Angélica M. Ocampo-Martinez Carlos Alzate Carlos A. Cardona Montoya Víctor M. Trejos Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH Nonlinear Engineering anaerobic digestion bioreactor dynamic analysis bifurcation theory risk analysis |
author_facet |
Alzate-Ibañez Angélica M. Ocampo-Martinez Carlos Alzate Carlos A. Cardona Montoya Víctor M. Trejos |
author_sort |
Alzate-Ibañez Angélica M. |
title |
Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH |
title_short |
Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH |
title_full |
Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH |
title_fullStr |
Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH |
title_full_unstemmed |
Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH |
title_sort |
risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and ph |
publisher |
De Gruyter |
series |
Nonlinear Engineering |
issn |
2192-8010 2192-8029 |
publishDate |
2019-08-01 |
description |
In this work, a risk index to monitor an anaerobic digestion process is established. The index is derived from the dynamical analysis of the system and it is composed by two conditions ensuring an optimum operating conditions inside bioreactor. The analysis is performed using bifurcation theory in order to study the effects of dilution rate, temperature and pH parameters at behavior system. For these purpose an extended version of the mathematical model proposed by Bernard [1] involving the dependence of growth kinetics on temperature and pH is used. The analysis shows both microbial growth and the performance of the bioprocess, when is highly affected by these parameters, indeed the washout condition occurs by combining a fold bifurcation and a transcritical bifurcation. From bifurcation diagrams both safety and optimal operation regions of the bioreactor are defined. Consequently, based on two conditions of stability a risk index to monitor the bioprocess on-line is proposed. The index is evaluated via numerical simulations allowing to detect system destabilization. The results obtained in this work may provide a useful methodology to monitor an anaerobic process and to guarantee the optimal performance of the bioreactor given that the model is sufficiently accurate. |
topic |
anaerobic digestion bioreactor dynamic analysis bifurcation theory risk analysis |
url |
https://doi.org/10.1515/nleng-2018-0055 |
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