| 1. |
- Alamia, Alberto, 1984, et al.
(author)
-
Process Simulation of Dual Fluidized Bed Gasifiers Using Experimental Data
- 2016
-
In: Energy & Fuels. - : American Chemical Society (ACS). - 1520-5029 .- 0887-0624. ; 30:5, s. 4017-4033
-
Journal article (peer-reviewed)abstract
- Process simulation of a dual fluidized bed (DFB) gasifier is challenging, owing to the high degree of freedominherent to the operation of the double-reactor system and the complexity of the reactions therein. We propose a method forsimulation of the gasifier based on the analysis of experimental data and of the total uncertainty associated with them. The overallaim is to use data from the large amount of pilot and demonstration gasifiers in the analysis and optimization of gasification-basedprocesses. In the method proposed a set of fuel conversion variables and their associated uncertainties are calculated using astochastic approach that takes into account the effect of unclosed mass balance, incomplete characterization of the raw gascompounds and measurement errors. Subsequently, these fuel conversion variables are used to simulate the gasifier in a flowsheetmodel developed in Aspen Plus. The results include the evaluation of critical parameters, such as, gasifier efficiency, chargasification, and tar yield and their uncertainties, which depend highly on the measurement system. The method is applied todata sets derived from several measurement setups, and the results are validated with total carbon measurements. The resultsshow that detection of ≥95% of the carbon in the raw gas is necessary to maintain the uncertainty level at
|
|
