https://socictopen.socict.org/files/original/4c85c55cdec5053de0c52ddc6cac3644.pdf 8010f8b50dd5ad18ed1651fe690c84ea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH Creator An entity primarily responsible for making the resource Alzate-Ibañez Angélica M., Ocampo-Martinez Carlos, Alzate Carlos A. Cardona, Montoya Víctor M. Trejos Description An account of the resource 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. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource anaerobic digestion, bifurcation theory, bioreactor, dynamic analysis, risk analysis Identifier An unambiguous reference to the resource within a given context 10.1515/nleng-2018-0055 Source A related resource from which the described resource is derived Nonlinear Engineering Publisher An entity responsible for making the resource available De Gruyter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General) Relation A related resource <a href="http://www.degruyter.com/view/j/nleng.2020.9.issue-1/nleng-2018-0055/nleng-2018-0055.xml?format=INT" target="_blank" rel="noreferrer noopener">http://www.degruyter.com/view/j/nleng.2020.9.issue-1/nleng-2018-0055/nleng-2018-0055.xml?format=INT</a>