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A review of the mathematical models for predicting the heating value of biomass materials

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A review of the mathematical models for predicting the heating value of biomass materials

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dc.contributor.author Vargas-Moreno, J.M. es_ES
dc.contributor.author Callejón-Ferre, A.J. es_ES
dc.contributor.author Pérez-Alonso, J. es_ES
dc.contributor.author Velázquez Martí, Borja es_ES
dc.date.accessioned 2016-07-15T07:45:49Z
dc.date.available 2016-07-15T07:45:49Z
dc.date.issued 2012-06
dc.identifier.issn 1364-0321
dc.identifier.uri http://hdl.handle.net/10251/67642
dc.description.abstract [EN] Following the discovery of fire, biomass became the main source of energy used by mankind. Advanced societies have largely replaced the use of biomass with the use of fossil fuels, but our dependence on these ever scarcer resources, plus the need to reduce CO2 emissions in the face of climate change, is forcing us to make use of renewable sources of energy, including biomass. The exploitation of this resource often requires that its heating value be known. This can be determined either directly (though not cheaply) or by the use of models that predict it using a number of easily and economically determined variables. The present review gathers together the most recent models for predicting the heating value of biomass, assesses their areas of application, and highlights errors that have been made in their formulation, transcription, and in the references made to them. Different models have relied upon elemental, proximal, structural, physical and chemical analyses to determine the values of necessary variables, although those relying on the results of the first two types of analysis have been the most popular. The simplest models and those with the widest range of applications are those most often referred to in the literature. The frequency with which important information has been left unconsidered in some studies, which has led to errors in the expressions presented, as well as errors of transcription and referencing, suggest that future work should be undertaken with greater diligence. es_ES
dc.description.sponsorship This work was partly funded by Proyecto de Investigacion C400860 of the University of Almeria.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation UAL/C400860 es_ES
dc.relation.ispartof Renewable and Sustainable Energy Reviews es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Higher heating value es_ES
dc.subject Biomass es_ES
dc.subject Renewable energy es_ES
dc.subject Proximal analysis es_ES
dc.subject Elemental analysis es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.title A review of the mathematical models for predicting the heating value of biomass materials es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.rser.2012.02.054
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària es_ES
dc.description.bibliographicCitation Vargas-Moreno, J.; Callejón-Ferre, A.; Pérez-Alonso, J.; Velázquez Martí, B. (2012). A review of the mathematical models for predicting the heating value of biomass materials. Renewable and Sustainable Energy Reviews. 16(5):3065-3083. doi:10.1016/j.rser.2012.02.054 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion https://dx.doi.org/10.1016/j.rser.2012.02.054 es_ES
dc.description.upvformatpinicio 3065 es_ES
dc.description.upvformatpfin 3083 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 219905 es_ES
dc.contributor.funder Universidad de Almería (UAL)


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