Biomass gasification models for downdraft gasifier: A state-of-the-art review. (October 2015)

• Record Type: Journal Article
• Authors: Patra, Tapas Kumar; Sheth, Pratik N.
• Is Part Of: Renewable & sustainable energy reviews. Volume 50(2015:Oct.)
• Page Start: 583
• Page End: 593
• Publication Date: 2015-10
• Subjects: Biomass -- Modeling and simulation -- Gasification -- Downdraft gasifier -- Equilibrium model -- Transport and kinetic model; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2015.05.012
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Among the different methods of energy production from biomass, gasification is considered as the most suitable option as it is a simple and economically viable process to produce thermal energy or decentralized electricity generation. Downdraft gasifiers are typically small-scale units having maximum power production capacity up to 5 MW. This feature makes it more suitable for decentralized power generation and distribution to the remote villages/islands deprived of grid electricity. Mathematical models can be helpful for the design of gasifiers, prediction of operational behavior, emissions during normal conditions, startup, shutdown, change of fuel, change of loading, and to alleviate the type of problems mentioned above. It has been observed that although many researchers have developed models of various types and degrees of complexity, reviews of these modeling and simulation studies are scarce. Largely, it is observed that the review articles reported in the literature fail to address the basic understanding of each model types and their applicability to design different gasifiers for a certain feedstock and variation of operating parameters. This review article discusses different models available for downdraft gasifiers such as thermodynamic equilibrium, kinetic, CFD, ANN and ASPEN Plus models. A comparative analysis of each model and its output is carried out. A critical analysis of the effect of different modeling parameters and finally the advantages and disadvantages of each modeling technique is outlined.