نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشکده مهندسی مکانیک - دانشگاه صنعتی شریف
2 دانشکده مهندسی مکانیک- دانشگاه صنعتی شریف
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Biomasss utilization provides sufficient energy, which can be used for electricity generation, engine applications and etc. In the gasification process, biomass will be converted into clean and combustible gas in the presence of steam and air. In this paper, a model is presented for the gasification of refused derived fuel (RDF) particles in a bubbling fluidized bed gasifier (BFBG). The model combines the chemical and thermodynamic equilibrium of the global reaction, predicting the final composition of the product gas. Once the composition of the produced gas is obtained, a range of parameters can be derived, such as the exergetic efficiency of the gasifier and the heating value of the product gas, as well as the cold gas efficiency of BFBG. A parametric study of the effect of the gasifying relative fuel/air ratio, gasifying temperature and the moisture content of the RDF on the characteristics of the process and the producer gas composition, is conducted.The model shows good agreement with the experimental results. The model helps to predict the behavior of different biomass types and is a useful tool for optimizing the design and operation of bubbling fluidized bed gasification.Furthermore, thermodynamic analyses (both energy and exergy) have been conducted for a combined system power plant, in which the investigated system consists of a pressurized fluidized bed gasification unit gasifier. In addition, an exergoeconomic evaluation is performed to determine all mass flow rates, exergy flow rates, exergy destruction flow rates, component exergetic efficiencies, exergetic cost flow rates, mass cost flow rates, component product and fuel specific exergetic and mass costs, exergy destruction cost flow rates, component investment cost flow rates, and system total cost. Finally, the exergoeconomic optimization of the mentioned system is performed with the SPECO method.
کلیدواژهها [English]
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