Reduced order modeling of the Shell-Prenflo entrained flow gasifier
Name
ShellROM_rev_final.pdf
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
1db93dc0fc0d48712736fead67db2226
Author(s)
Gazzani, Matteo
Manzolini, Giampaolo
Macchi, Ennio
Ghoniem, Ahmed F
Date Issued
July 2012
Journal
Fuel
Publisher
Elsevier
Citation
Gazzani, Matteo, Giampaolo Manzolini, Ennio Macchi, and Ahmed F. Ghoniem. “Reduced Order Modeling of the Shell–Prenflo Entrained Flow Gasifier.” Fuel 104 (February 2013): 822-837.
Version
Author's final manuscript
Abstract
Pre-combustion capture applied to an integrated gasification combined cycle is a promising solution for greenhouse gas emission’s mitigation. For optimal design and operation of this cycle, detailed simulation of entrained flow gasifiers and their integration in the flowsheet analysis is required. This paper describes the development of a reduced order model (ROM) for the Shell–Prenflo gasifier family, used for chemicals and power production because of its high efficiency and compatibility with a wide range of coal quality. Different from CFD analysis, ROM is computationally very efficient, taking around 1 min in a typical desktop or laptop computer, hence enabling the integration of the gasifier model and the overall power plant flowsheet simulation. Because of the gasifier complexity, which includes several gas recirculation loops and a membrane wall, particular attention is paid to: (i) the two-phase heat exchange process in the gasifier wall; and, (ii) the syngas quench process. Computed temperature, composition, velocity and reaction rate profiles inside the gasifier show good agreement with available data. The calculated cold gas efficiency is 82.5%, close to the given value of 82.8%. Results and several sensitivity analyses describe the implementation of the model to explore the potential for operating gasifiers beyond the design point.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.fuel.2012.06.117
