 Pyrolysis of biomass – fuzzy modelingNuttapol Lerkkasemsan and Luke E.K. Achenie Renewable Energy, 2014, vol. 66, issue C, 747-758 Abstract: The depletion of fossil fuel and the environmental impact of using fossil fuel as a main energy source have been subjects of intense research and policy interest in recent years. Pyrolysis of biomass to produce bio-energy is a promising process. However, with the resulting high cost, creating a cost effective chemical plant is very important. A comprehensive process model, which can be used to predict the production from pyrolysis of biomass, is therefore necessary. However, modeling is complex and challenging because of short reaction times, temperatures as high as a thousand degrees Celsius, and biomass of varying or unknown chemical compositions. As such a deterministic model is not capable of representing the pyrolysis reaction system. We propose a new kinetic reaction model, which would account for significant uncertainty. Specifically we have employed fuzzy modeling using the adaptive neuro-fuzzy inference system (ANFIS) in order to describe the pyrolysis of biomass. The resulting model is in better agreement with experimental data than known deterministic models. Keywords: Pyrolysis reaction; Fuzzy logic; ANFIS; Reed Canary grass; Pyrolysis model; Wood (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:66:y:2014:i:c:p:747-758 DOI: 10.1016/j.renene.2014.01.014 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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