On the flow direction effect in sequential modular simulations: A case study on fluidized bed biomass gasifiers

Homa Hasanzadeh Shahrivar, Amir Sheikhi, Rahmat Sotudeh-Gharebagh

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Feed location is a key parameter in the performance of hydrogen production multi-phase reactors. While the current sequential-based models successfully simulate multi-phase fluidized reactors (FR) with cocurrent feeding, no general countercurrent-feed sequential model is available to predict the behaviour of complex top-feeding systems. In this work, the modular process simulation approach is expanded to simulate the FB-based hydrogen production with opposite feed directions. The model consists of novel logically-ordered plug flow reactors (PFRs) and continuous stirred-tank reactors (CSTRs), accounting for the feed location using a recycle flow, termed as solid circulation factor (XC,i). As a case study, a fluidized bed gasifier for green fuel production is simulated, taking the hydrodynamic and reaction kinetic sub-models into consideration. The dynamic two-phase (DTP) model describes the physical phenomena in the hydrodynamic sub-model, and a comprehensive set of reaction kinetic models derived from literature, including tar conversion, provides the reaction sub-model for a biomass gasifier. By integrating these sub-models, the fluidized bed reactor is divided into two main regions, namely dense bed and freeboard. The dense bed is segmented into several sections, each of which treating the gas flow as a plug flow through the bubbles and as a completely-mixed flow in the emulsion phase. The freeboard section is well simulated employing a plug flow reactor. Satisfactory agreement between the model prediction and the experimental data is achieved when the countercurrent flow and full kinetic model is used, while cocurrent flow and/or equilibrium simulation bring about poor predictions. This work paves the way toward designing a comprehensive fluidized bed sequential module to be integrated with the industrial process simulators.

Original languageEnglish (US)
Pages (from-to)2552-2567
Number of pages16
JournalInternational Journal of Hydrogen Energy
Volume40
Issue number6
DOIs
StatePublished - Feb 19 2015

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

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