Energy and Exergy Analyses of Fluidized-Bed Municipal Solid Waste Air Gasification
نویسندگان
چکیده
منابع مشابه
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor.
In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and entrained char (LHVp) and syngas yield during gasification of municipal solid waste (MSW) during gasification in a fluidized bed reactor. These artificial neural networks (ANNs) with different architectures are trained ...
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ژورنال
عنوان ژورنال: Energy & Fuels
سال: 2016
ISSN: 0887-0624,1520-5029
DOI: 10.1021/acs.energyfuels.6b01418