Abstract
Describing the combustion of log wood and other solid fuels with complex geometry,
considerable water content and often heterogenous structure 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.
considerable water content and often heterogenous structure 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.
| Originalsprache | englisch |
|---|---|
| Seitenumfang | 4 |
| Fachzeitschrift | Journal of Physics: Conference Series |
| Jahrgang | 490 |
| Ausgabenummer | 1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2014 |
Fields of Expertise
- Sustainable Systems
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
