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Towards a Stochastic Cellular Automata Model of Log Wood Combustion
Bioenergy 2020+ GmbH.
Institute of Mathematics and Scientific Computing, Karl-Franzens-Universität.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
Bioenergy 2020+ GmbH.
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2014 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 490, no 1, article id 12015Article in journal (Refereed) Published
Abstract [en]

Describing the combustion of log wood and others solid fuels with complex geometry, considerable water content and often heterogenous struture is a nontrivial task. Stochastic Cellular Automata models offer a promising approach for modelling such processes. Combustion models of this type exhibit several similarities to the well-known forest fire models, but there are also significant differences between those two types of models. These differences call for a detailed analysis and the development of supplementary modeling approaches. In this article we define a qualitative two-dimensional model of burning log wood, discuss the most important differences to classical forest fire models and present some preliminary results. © Published under licence by IOP Publishing Ltd.

Place, publisher, year, edition, pages
2014. Vol. 490, no 1, article id 12015
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-31665DOI: 10.1088/1742-6596/490/1/012015ISI: 000335909300015Scopus ID: 2-s2.0-84896985388Local ID: 5e9c8dc0-695a-43ff-972a-aa397f2824abOAI: oai:DiVA.org:ltu-31665DiVA, id: diva2:1004899
Conference
International Conference on Mathematical Modeling in Physical Sciences : 01/09/2013 - 05/09/2013
Note
Godkänd; 2014; 20140416 (johsod); Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Hebenstreit, Babette

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