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Browsing by Author "SP18-RCH-004"

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    Design & Optimization of BIOMASS GASSIFIER for production of syngas using Computational fluid dynamics
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2020) Noor UL Islam; SP18-RCH-004; Dr. Shehzad Khuram; LHR TP 5954
    The design of gasification of biomass and coal process is to be enhanced by simulating process parameters and methods with computer software i.e Ansys 14.5 The Properties and characteristics of fluid flow participates for optimization of process. Hence computational fluid dynamics is being used from “Ansys 14.5” Software. Gasification is one of a naturally pleasant solution and is relatively new amongst all the methods available for the manufacture of energy by consuming biomass method. By restricted oxidation, gasification is essential thermo-chemical conversion at higher temperature of carbon-based materials. Any small value carbonaceous compounds similarly biomass, fuel coke, and metropolitan waste and processing plant residues can be recycled for production of great efficiency energy with gasification. As CO2 in air absorbed carbon content of biomass due to this the left CO2 manufacture is zero, so Biomass gasification is principally CO2 neutral. The by-product is identified as syngas (combination of H2, CH4 and CO) taking an elevated fraction of H2 which makes syngas main to all fuels. Above stated causes make gasification of biomass an unexpected substitute for the creation of power and energy. Presently clean and capable source of energy is reflected as the gasification of biomass. Over Practical testing it is time intense and challenging for a FB gasifier by differing the operating settings to obtain optimum conditions. CFD modelling has manifest to be an effective option in current days because from time to time Practical experiments may not be economical and reasonable. Due to nonstop improvement of computational potential, it is capable to carry out such optimization to manage optimum operating settings and design in advance experimental optimization are carried out.

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