


Volume 20 No 10 (2022)
Download PDF
Investigating the Performance of Fluidized Bed Combustion Systems for Biomass Energy Conversion
Raghubeer Singh Bangari
Abstract
Systems for fluidized bed combustion (FBC) have attracted a lot of interest as a viable technique for converting biomass into electricity. The performance of fluidized bed combustion systems specifically created for the conversion of biomass to energy is examined in this study. The goal is to evaluate the effectiveness, emissions, and overall viability of adopting FBC technology for the generation of sustainable and clean energy.The work uses a thorough experimental strategy, which includes computer modelling and testing at lab scale. To assess their combustion properties and fluidized bed performance, various biomass fuel types are taken into consideration, including agricultural waste, wood chips, and energy crops. Thermal efficiency, combustion stability, pollutant emissions (such nitrogen oxides and particulate matter), and ash behaviour are the main factors being studied.The study also investigates how important operational variables like bed temperature, fluidization velocity, and air-to-fuel ratio affect combustion efficiency. The findings shed important light on the ideal operating circumstances and design criteria for effective and healthy biomass combustion in fluidized bed systems.The results of this experiment help to clarify the potential of fluidized bed combustion technology for converting biomass to energy. For the commercial-scale implementation of FBC systems, the data produced can help in the development of better system designs, operating strategies, and emission control methodologies. Finally, utilising biomass energy through fluidized bed combustion can be crucial to achieving ecologically friendly and sustainable energy generation.
Keywords
bed combustion, Gasification, Biomass, fluidized bed equilibrium
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.