Process Simulation of Dual Fluidized Bed Gasifiers Using Experimental Data
| Autor: | Henrik Thunman, Martin Seemann, Alberto Alamia |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Observational error
Wood gas generator business.industry 020209 energy General Chemical Engineering Energy Engineering and Power Technology Experimental data 02 engineering and technology Dual (category theory) Fuel Technology Fluidized bed 0202 electrical engineering electronic engineering information engineering Environmental science Char Process simulation Fuel conversion Process engineering business |
| Zdroj: | Energy & Fuels. 30:4017-4033 |
| ISSN: | 1520-5029 0887-0624 |
| DOI: | 10.1021/acs.energyfuels.6b00122 |
| Popis: | Process simulation of a dual fluidized bed (DFB) gasifier is challenging, owing to the high degree of freedom inherent to the operation of the double-reactor system and the complexity of the reactions therein. We propose a method for simulation of the gasifier based on the analysis of experimental data and of the total uncertainty associated with them. The overall aim is to use data from the large amount of pilot and demonstration gasifiers in the analysis and optimization of gasification-based processes. In the method proposed a set of fuel conversion variables and their associated uncertainties are calculated using a stochastic approach that takes into account the effect of unclosed mass balance, incomplete characterization of the raw gas compounds and measurement errors. Subsequently, these fuel conversion variables are used to simulate the gasifier in a flowsheet model developed in Aspen Plus. The results include the evaluation of critical parameters, such as, gasifier efficiency, char gasification, a... |
| Databáze: | OpenAIRE |
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